This paper provides an overview of the issue of drilling fluid leakage and strategies to address it. The focus is on preventing borehole wall collapse and ensuring well wall stability in complex geological environments through the use of advanced plugging technologies and materials. The research analyses drilling and plugging materials suitable for high-temperature formations, adaptive leakage prevention and plugging technologies, and innovative applications of micro and nano technologies to enhance the effectiveness of drilling fluid plugging. It also examines the unique effects of different plugging technologies in forming a plugging layer. The research results suggest that numerical simulation is crucial in studying oilfield fracture plugging technology............

[1]. XU Tongtai, LIU Yujie, SHIN Wei. Leakage Prevention and Plugging Technology in Drilling Engineering [M]. Beijing: Petroleum Industry Press, 1997.

[2]. Sun Jinsheng, Wang Shiguo, Zhang Yi, et al. Research on film-forming technology of water-based drilling fluids[J]. Drilling and Completion Fluids, 2003, 20(6): 6-10.

[3]. Al-saba M., Nygaard R., Saasen A., et al. Laboratory evaluation of sealing wide fractures using conventional lost circulation materials[C]. SPE170576, 2014.

[4]. Alshubbar G., Nygaard R., Jeennakorn M. The effect of wellbore circulation on building an LCM bridge at the fracture aperture[J]. Journal of Petroleum Science and Engineering, 2018, 165: 550-556.

[5]. Jeennakorn M., Nygaard R., Nes O., et al. Testing conditions make a difference when testing LCM[J]. Journal of Natural Gas Science and Engineering, 2017, 46: 375-386.

Malaria is one of the deadliest diseases across the globe. This is caused by the bite of female Anopheles mosquito that transmits the Plasmodium parasites. Some current malaria detection techniques include manual microscopic examination and RDT. These approaches are vulnerable to human mistakes. Early detection of malaria can help in reducing the death rates across the globe. Deep Learning can emerge as a highly beneficial solution in the diagnosis of disease. This model gives a faster and cheaper method for detecting plasmodium parasites. The custom convoluational neural network is primarily designed to distinguish between healthy and infected blood samples........

[1]. World malaria report 2019. Geneva: World Health Organization; 2019.
[2]. Centers for Disease Control and Prevention. 2012. CDCMalaria. Available: http://www.cdc.gov/malaria/about/biology/.
[3]. K. Roy, S. Sharmin, R. B. M. Mukta and A. Sen, "Detection of Malaria Parasite in Giemsa Blood Sample Using Image Processing," In International Journal of Computer Science and Information Technology, vol. 10, no. 1, pp. 55-65, 2018.
[4]. J. Schmidhuber, "Deep learning in neural networks: An overview," In Neural Networks, vol. 61, pp. 85-117, 2015.
[5]. S. Rajaraman,S.Antani, M. Poostchi, K. Silamut,Md. Hossain,R. Maude,S. Jaeger,G. Thoma, "Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images," In PeerJ, vol. 6, p. e4568, 2018.

The presence of 2nd order tensors in problems in the broad area of Continuum Mechanics corresponds to a very common practice. In a general context, a solid body when subjected to external loads presents corresponding deformations, and the relationship between the acting stresses and the generated deformations depends on the constitutive relationship of the material considered. Metallic materials, in general, can be classified and grouped as isotropic materials. Within this entire context, the Cauchy stress tensor stands out, from which various calculations and analyzes can be developed. The main objective of this work is to present a general review of the calculation parameters that can be carried out using the tensor. Also noteworthy is the development of a simplified computational code, in Matlab language, which allows obtaining and analyzing the main calculation parameters to be considered based on the Cauchy stress tensor.

[1]. Boresi, A. P., Chong, K. P., 2000. Elasticity in Engineering Mechanics, Prentice Hall, Inc.
[2]. Hayes, M. A., Saccomandi, G., 2000. The Cauchy Stress Tensor for a Material Subject to an Isotropic Internal Constraint. Journal of Engineering Mathematics 37: 85–92.
[3]. Irgens, F., 2007. Continuum Mechanics. Springer, Bergen, Norway.
[4]. Lai, W.M.; Rubin, D.; Krempl, E, 1993. Introduction to Continuum Mechanics. Third Edition, Pergamon Press, U.K.
[5]. Papadopoulos, P., 2020. Introduction to Continuum Mechanics. Department of Mechanical Engineering, University of California,
Berkeley.

This study presents an innovative approach for enhancing Android malware detection through a Genetic Algorithm (GA)-based optimized feature selection coupled with machine learning techniques. Leveraging the evolutionary principles of GA, the proposed method effectively identifies a subset of features from a large pool, maximizing the discriminative power while minimizing computational complexity. By integrating this feature selection mechanism with machine learning classifiers, the system achieves superior performance in distinguishing between, benign and malicious Android applications.......

[1]. H. Rathore, A. Nandanwar, S. K. Sahay, and M. Sewak, ''Adversarialsuperiority in Android malware detection: Lessons from reinforcementlearning based evasion attacks and defenses,'' Forensic Sci. Int., Digit. Invest., vol. 44, Mar. 2023, Art. no. 301511. [2]. H. Wang, W. Zhang, and H. He, ''You are what the permissions told me! Android malware detection based on hybrid tactics,'' J. Inf. Secur. Appl., vol. 66, May 2022, Art. no. 103159. [3]. A. Taha and O. Barukab, ''Android malwareclassification using optimizedensemble learning based on genetic algorithms,'' Sustainability, vol. 14,no. 21, p. 14406, Nov. 2022. [4]. O. N. Elayan and A. M. Mustafa, ''Android malware detectionusing deep learning,'' Proc. Comput. Sci., vol. 184, pp. 847–852,Jan. 2021. [5]. J. Kim, Y. Ban, E. Ko, H. Cho, and J. H. Yi, ''MAPAS: A practical deep learning-based Android malware detection system,'' Int. J. Inf. Secur. Vol. 21, no. 4, pp. 725–738, Aug. 2022

The evolution of India's agricultural price policies, from the establishment of the Agricultural Price Commission in 1965 to the present-day schemes like MSP, MIS, and PM-AASHA, has aimed to ensure fair prices for farmers and affordable food for consumers. MSP, as the cornerstone policy, shields farmers from price volatility, while interventions like MIS stabilize prices for perishable commodities. The recent introduction of PM-AASHA further enhances income security through schemes like PSS, PDPS, and PPPS. Despite these advancements, challenges persist, including the need for a more nuanced approach to policy formulation, the expansion of coverage beyond MSP, and the adoption of direct payments. Incorporating these suggestions can bolster India's agricultural sector, ensuring fair returns to farmers and stable commodity prices.

[1]. Acharya SS. 2016.Policy Analysis- What and How: A Case of Agricultural Price and Marketing Policies in India. Indian Journal of Agricultural Marketing30 (3): 26-47
[2]. Chand R. 2017.Changing Requirements for Intervention in Agricultural Markets and Prices. Indian Journal of Agricultural Marketing31(3):5-12
[3]. Chavas JP and Mathew TH.1990.Acreage Decisions under Risk: The Case of Corn and Soybeans. American Journal of Agricultural Economics72(3):529–538
[4]. Govt. of India.1986. Agricultural Price Policy- A Long Term Perspective. Ministry of Agriculture. New Delhi.
[5]. Govt. of India.2017. Evaluation Report on Efficacy of Minimum Support Price (MSP) on Farmers.NITI AAYOG. Development Monitoring and Evaluation Office Government of India. New Delhi.

In order to reduce health risks, there is a need for an effective application, especially in medical services. Currently, patients must contact a doctor and obtain medications to diagnose early lifestyle diseases, which requires multiple services and is time-consuming. There is scope for developing an end-to-end medical service system that covers all the services required by patients. This includes predicting early lifestyle diseases from given symptoms using machine learning, implementing a chatbot application with a question-and-answer system, and integrating a medicine booking system into a single platform. The entire process is designed as a single web application offering multiple services. In this project, we are developing a web application for early lifestyle detection using the Flask framework, Python programming language, and MySQL database.

[1]. Talha Mahboob Alam a, Muhammad Atif Iqbal a, Yasir Ali a, Abdul Wahab b, Safdar Ijaz b, Talha Imtiaz Baig b, Ayaz Hussain c, Muhammad Awais Malik b, Muhammad Mehdi Raza b, Salman Ibrar b, Zunish Abbasd,"A model for early prediction of diabetes", vol. 5, no. 1, pp. 8869–8879, 2019
[2]. C. Beulah Christalin Latha, S. Carolin Jeeva "Improving the accuracy of prediction of heart disease risk based onensemble classification techniques," Springer Data Mining Knowl. Discovery, vol. 16, no. 4, pp. 1070–1093, 2019.
[3]. IM. Chen, Y. Ma, Y. Li, D. Wu, Y. Zhang, and C. Youn, "Wearable 2.0: Enable human-cloud integration in next generation healthcare system," IEEE Commun., vol. 55, no. 1, pp. 54–61, Jan. 2017.
[4]. Y. Zhang, M. Qiu, C.-W. Tsai, M. M. Hassan, and A. Alamri, "HealthCPS: Healthcare cyberphysical system assisted by cloud and big data," IEEE Syst. J., vol. 11, no. 1, pp. 88–95, Mar. 2017.
[5]. L. Qiu, K. Gai, and M. Qiu, "Optimal big data sharing approach for telehealth in cloud computing," in Proc. IEEE Int. Conf. Smart Cloud (Smart Cloud), Nov. 2016, pp. 184– 189.

This study aims to investigate constrained optimization problems in a plastics company, leveraging existing research data to deepen understanding of constraint theory and linear programming. Additionally, it seeks to construct a problem model within a specific company in this sector. Following a literature review, and with the aid of the Solver/Excel tool, data from COMPANY X was inputted into a spreadsheet to address its issue and thereby enhance profits. The developed mathematical model was applied to an industrial problem involving two types of products (PRODUCT A and PRODUCT B). Through analysis of the problem conducted by the Solver/Excel, it was observed that PRODUCT B would increase profits for the company, highlighting the need for machinery investment in one of its sectors. Consequently, it can be concluded that the application of constraint theory is a vital tool for profit enhancement and decision-making in a company.

[1]. Lopes, J. dos S. (2008). Analysis and Optimization of Production Sequencing in a Medium-sized Plastic Packaging Company. [Undergraduate thesis, Federal University of Juiz de Fora, Department of Production Engineering].
[2]. Vieira, E. C., et al. (2011). Optimization of a production process through the joint use of the theory of constraints with linear programming: case study in the disposable plastics segment. Paper presented at the XXXI National Meeting of Production Engineering.
[3]. Bezerra, E. M. F. (2015). Comparative study of nonlinear mathematical programming methods applied to unconstrained optimization problems in engineering. Dissertation, Federal University of Ceará – UFC.
[4]. Yin, R. K. (2005). Case Study - Planning and Methods (3rd ed.). Porto Alegre: Bookman.
[5]. Oliveira, G. S. C., Rangel, L. A. D., & Bonamigo, A. (2020). Contributions of operational research to the optimization of decision-making processes in the pulp and paper sector. Paper presented at the XL National Meeting of Production Engineering.

This article aims to provide an in-depth review of the research status of new energy and petroleum substitutes both domestically and internationally, in order to provide comprehensive reference and guidance for scholars and practitioners in related fields. By summarizing existing literature, we can better understand the research achievements and development trends of various countries in the field of new energy, thereby providing more scientific and reasonable directions and strategies for future research and application work. At the same time, this article will also focus on exploring the important significance of new energy and oil substitutes for environmental protection, economic development, and social sustainability. It will replace oil in some fields to attract more attention and attention to sustainable energy.

[1]. Lv Chunsheng Japan's New Energy Development and Its Inspiration to China [J] Modern Japanese Economy, 2006 (6): 37-41
[2]. Kong Yanjie, Sui rudder Research on China's Strategy for Developing Oil Substitute Products [J] Learning and Exploration, 2009 (1):
172-174
[3]. Xu Hongxing Current Situation and Countermeasures of Energy Utilization in China [J] Chinese and Foreign Energy, 2010 (1): 3-14
[4]. Yuxuan Overview of Future New Energy [J] Technology and Market, 2010 (4): 98-99
[5]. Yang Li, Zhang Chuandu, Cao Dashong The tight oil supply highlights the opportunities for new energy developers Small and Medium
sized Enterprise Technology, 2005 (11): 13-14

Aiming at intermodal integration: (i) Section III of the Paraná River Waterway – River of Silver Basin, (ii) Raposo Tavares Highway – SP-270 and (iii) Section of the Sorocabana Railway (EFS); the paper categorized as short communication refers to a technical project that proposes the configuration of a complex that rehabilitates existing infrastructures, recognizing their heritage value, in accordance with the 9th Development Objective Sustainable (DOS) of the UN 2030. With this, the project aspires to great potential for regional economic development, with the capacity to generate cross-border impacts.......

[1]. Estância Turística de Presidente Epitácio. Foundation, the story about President Epitácio. Estância Turística de Presidente Epitácio, [2024]. Available in: https://presidenteepitacio.com.br/presidente-epitacio/fundacao/. Accessed in: April 4, 2024.
[2]. International Organization for Standardization. ISO 9223: Corrosion of metals and alloys – corrosivity of atmospheres – classification, determination and estimation. Switzerland, 2012.
[3]. Moroni, B. G. History of Presidente Epitácio. 2nd Edition, Author's Edition, Maringá (PR), 2011.
[4]. Prefeitura Municipal de Presidente Epitácio. History. Prefeitura Municipal de Presidente Epitácio, [2024]. Available in: https://www.presidenteepitacio.sp.gov.br/portal/servicos/1001/historia. Accessed in: April 4, 2024.

Every aspect of civil engineering work revolves around concrete in one way or another. It is one of the most versatile building materials for construction procedures. Concrete has low ductility and is brittle. It takes high compressive stress but is less capable when taking tensile stress. It shows abrupt failure when subjected to tension beyond its strength. With human advancement, construction methods have become more demanding, which requires every building component, such as concrete, to be more resilient than ever before. Various reinforcement techniques are practiced to improve the mechanical properties of concrete. Fiber-Reinforced concrete is a composite material combining concrete and randomly dispersed fiber.......

[1]. T. E. T. BUTTIGNOL, J. L. A. O. SOUSA and T. N. BITTENCOURT, "Ultra High-Performance Fiber-Reinforced Concrete(UHPFRC): a review of material properties and designprocedures," IBRACON STRUCTURES AND MATERIALS JOURNAL, vol. 10, no. 4, pp. 957-971, 2017.
[2]. J. Romualdi and G. Baston, "Mechanics of crack arrest in concrete with closely spaced reinforcement," Journal of the Engineering Mechanics Division., EM3. Proceedings of the American Society of Civil Engineers, vol. 89, pp. 147-168, 1963.
[3]. American Society for Testing and Materials, "Standard Specification for Steel Fiber for Fiber-Reinforced Concrete," ASTM International, 2001.
[4]. W. A. Elsaigh, E. P. Kearsley and J. M. Robberts, "STEEL FIBRE REINFORCED CONCRETEFOR ROAD PAVEMENT APPLICATIONS," 2005.
[5]. Bagher Shemirani, " Effects of Fiber Combination on the Fracture Resistance of Hybrid Reinforced Concrete," Iranian Journal of Science and Technology, Transactions of Civil Engineering, vol. 43, no. 3, p. 2161–2172, 2021.

Due to the current global oil price, the sand production is considered undesirable product and the control of sand production is considered as one of the main concerns of production engineers. It can damage downhole, subsea equipments and surface production facilities, also increasing the risk of catastrophic failure. As a result of that it costs the producers multiple millions of dollars each year. Therefore, there are many different approaches of sand control designed for different reservoir conditions. Selecting an appropriate technique for preventing formation sand production depends on different reservoir parameters. Therefore, choosing the best sand control method is the result of systematic study........

[1]. Terzaghi, K., Peck, R. B., &Mesri, G. (1948). Soil Mechanics in Engineering Practice. John Wiley & Sons.
[2]. Hall, G. F., &Harrisberger, L. N. (1970). Effects of Reservoir Flow on Sand Arching. Journal of Petroleum Technology, 22(11), 1373-1380. doi:10.2118/2728-PA.
[3]. Stein, J. (1972). Sand Control: Review of the State of the Art. Journal of Petroleum Technology, 24(8), 1006-1014. doi:10.2118/3532-PA.
[4]. Antheunis, J. W., Van Laer, F., &Huijsmans, J. (1976). Sand Production Prediction in Petroleum Engineering. Society of Petroleum Engineers. doi:10.2118/5945-MS.
[5]. Morita, N., Nguyen, V. D., &Miska, S. Z. (1987). Sand Production Prediction in Gas Wells. SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers. doi:10.2118/16439-MS.

This study was an ex-post-facto research that investigated the content of PAHs in T. occidentaliscultivated in Okpai oil producing community for its suitability for human consumption. The study answered 3 research questions and tested a hypothesis. In achieving these T. occidentalist samples were collected from 5 farms/gardens in 5 quarters of Okpai bulked in each case, wrapped in alluminium foil and stored in ice cool boxes for analysis. The analytical standard adopted was EU 1255/2020 and the instrument for determination deployed was HPLC shimadzu LC 2050 series pressure resistance 50 MPa. The results obtained were pyrene; 2.72±0.11μg/kg, chrysere; 2.70±0.12 μg/kg, BaP; 2.74 μg/kg±0.11 μg/kg, BaA; 2.72±0.10 μg/kg and BbF, 2.73±0.12 μg/kg........

[1]. Abdulwaheed, B. Q. (2020). Adoption of cage aquaculture in Niger state for sustainable economic growth in Nigeria. Journal of Agriculture 12(2), 102-108.
[2]. Betrand, M. (2019). Stimulating sustainable economic growth. https://www.enterprisedevelopment.org
[3]. Brandson, C. (2018). Sustainable economic development. Httpss://www.elibrary.imf.rg
[4]. Friends of the Earth (2022). Oil spills and Nigeria environment. Friends of the Earth publication. Washington DC United States of America
[5]. Ioryem, P. A. (2022). Adoption of bees production in senior secondary schools in Benue state: a recipe for achieving sustainable growth in Nigeria. Nigeria journal of Extension Agriculture 20(3), 124-130

Porous Silicon (PSi) samples were prepared by chemical etching (stain etching) of boron doped p-type silicon wafers. The gold nanoparticles (Au) were deposited on PS surface by Au-sputtered by Physical Vapor Deposition (PVD) technique. The Au/Psi composites get incorporated into the pores of PSi so that Au/PSi composite is formed. The surface morphological studies of PSi and Au/PSi composites were studied by Scanning Electron Microscopy (SEM). Photoluminescence (PL) measurements have been carried out to investigate the surface modification and optical properties of PSi and Au coated samples. In the case of Au/PSi structure, this peak is blue shifted with a reduction in the peak intensity.......

[1]. ZhechuanFend, Raphael Tsu Porous Silicon . World scientific. NewJesvi. London,Hongkong, 345.
[2]. www. Princ/on.edu/~ abb group.html.
[3]. http://en.wikipedia.org/wiki/Nanotechnology.
[4]. International Union of Pure and Applied Chemistry. "semiconductor". Compendium of Chemical Terminology, Internet edition.
[5]. K.L. Katiyar,(2003), Solid State Physics, Campus Book International.

Currently, Wireless Sensor Networks (WSNs) have been applied in various domains to collect and monitor comprehensive information about environments or objects. To extend the operational duration of WSNs, a multitude of energy-saving techniques have emerged, with clustering protocols being the most effective. The earliest clustering protocol to appear was the LEACH protocol, which, despite its significant enhancement of network performance, had notable drawbacks. This paper summarizes various methods for optimizing the LEACH protocol, including: techniques for optimizing cluster head selection, advancements in inter-cluster routing, and improvements in clustering strategies.

[1]. W. R. Heinzelman, A. Chandrakasan and H. Balakrishnan. 2000. Energy-efficient communication protocol for wireless microsensor networks, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Maui, HI, USA, pp. 10-20.
[2]. Li Qing, Qingxin Zhu, Mingwen Wang. 2006. Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks, Computer Communications, 29(12): 2230-2237.
[3]. Gulganwa, P., Jain, S. 2022. EES-WCA: energy efficient and secure weighted clustering for WSN using machine learning approach. International Journal of Information Technology. 14: 135–144.
[4]. Ainan Ihsan, Kashif Saghar, Tayyba Fatima, Osman Hasan. 2019. Formal comparison of LEACH and its extensions, Computer Standards & Interfaces, 62: 119-127.
[5]. Hongwei Chen, Chunhua Zhang, Xinlu Zong, Chunzhi Wang. 2013. LEACH-G: an Optimal Cluster-heads Selection Algorithm based on LEACH, JOURNAL OF SOFTWARE, 8(10): 2660-2667

This article discusses strategies for expanding teacher training through events aimed at increasing access to information for municipal employees in Fortaleza. In this sense, we analyze the relevance of the 1st International Education Seminar - "Educational Perspectives for the 21st Century: Towards quality education with equity; 1st Municipal Seminar on Diversity and Inclusion: A welcoming school; 2nd Municipal Seminar on Diversity and Inclusion: Dialogues for education with equity; 1st and 2nd edition of the October Teacher International Festival........

[1]. Lakatos, E. M., & Marconi, M. de A. Fundamentals of scientific methodology. 8th ed. – São Paulo: Atlas, 2017. Bibliography. ISBN 978-85-970-1076-3.
[2]. Fortaleza. (2019). Fortaleza City Hall holds 1st International Education Seminar. Fortaleza: SME.
[3]. Fortaleza. (2022). Municipal Education Network initiates programming of the 1st Municipal Seminar on Diversity and Inclusion. Fortaleza: SME.
[4]. Souza, L. P. de (Ed.). (2023). Inclusive education: dialogues, experiences, and reflections. Campo Grande: Editora Inovar. 168p. ISBN: 1978-65-5388-142-6. doi.org/10.36926/editorainovar-978-65-5388-142-6.
[5]. Fortaleza. (2023). With the theme "Dialogues for education with equity," SME holds 2nd Municipal Seminar on Diversity and School Inclusion. Fortaleza: SME.

Groundwater is the safest and most reliable water source, use in domestic, irrigation, industries, and municipality purposes. In Awka South, groundwater is a source of domestic water in urban and rural areas, hence the only practical means of meeting rural communities in arid and semi-arid regions. Previous works on the development of ground water in Awka South were faced with the problem of failed (abortive) hand-dug wells and boreholes, which are as a result of the poor knowledge of the hydrogeological characteristics of the basement aquifers. Most of the groundwater investigation in Awka South has been centered on the use of Electrical resistivity method. None of these studies.......

[1]. Abdul-A., Vanum Govindu & Amare Gebre Medhin Nigusse (2016), Evaluation of groundwater potential using geospatial techniques. Applied Water Science 7, 2447-2461.
[2]. Abebe D. T (2020), Groundwater potential mapping using geospatial techniques: a case study of Dhungeta-Ramis sub-basin, Ethiopia. Geology, Ecology and Landscapes. 5, 22-33
[3]. Ahmadi T., A.N. Ziaei, K. Davary, A. Faridhosseini & A. Izadi and A. Rasoulzadeh. (2013). Estimation of groundwater recharge using various methods in Neishaboor Plain, Iran. Groundwater Modeling and Management under Uncertainty. ISBN 978-1-138-000124.
[4]. Hyun-Joo Oh, Yong-Sung Kim, Jong-Kuk Choi, Eungyu Park, Saro Lee (2011), GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. Journal of Hydrology 399 (3-4), 158-172.

With the overall increase in the elderly population come additional, necessary medical needs and costs. Medicare is a U.S. healthcare program that provides insurance, primarily to individuals 65 years or older, to offload some of the financial burden associated with medical care. Even so, healthcare costs are high and continue to increase. Fraud is a major contributor to these inflating healthcare expenses. Our paper provides a comprehensive study leveraging machine learning methods to detect fraudulent Medicare providers. We use publicly available......

[1]. Lakshman Narayana Vejendla and A Peda Gopi, (2019)," Avoiding Interoperability and Delay in Healthcare Monitoring System Using Block Chain Technology", Revue d'Intelligence Artificielle, Vol. 33, No. 1, 2019, pp.45-48. [2]. Gopi, A.P., Jyothi, R.N.S., Narayana, V.L. et al. (2020), "Classification of tweets data based on polarity using improved RBF kernel of www.jespublication.com PageNo:482 SVM". Int. j. inf. tecnol. (2020) [3]. Lakshman Narayana Vejendla and A Peda Gopi, (2017)," Visual cryptography for gray scale images with enhanced security mechanisms", Traitement du Signal, Vol.35, No.3-4, pp.197-208. DOI: 10.3166/ts.34.197-208 [4]. Herland, M., Bauder, R.A. &Khoshgoftaar, T.M. Approaches for identifying U.S. medicare fraud in provider claims data. Health Care Manag Sci 23, 2–19 (2020). https://doi.org/10.1007/s10729-018-9460-8 [5]. Hancock, J.T., Khoshgoftaar, T.M. Hyperparameter Tuning for Medicare Fraud Detection in Big Data. SN COMPUT. SCI. 3, 440 (2022). https://doi.org/10.1007/s42979-022-01348-x.

Inspite of the wide coverage of masonry structures in technical literature, there appears to exist a serious gap in research on sandcrete blocks, particularly the stress-deformation characteristics and mechanism of failure of sandcrete block walls. And even more particularly, there is little or no such research based on the structural model of prototype block units, which therefore constitutes the major focus of this research paper. The methodology for using small-scale direct model for the experimental investigation of the strength, deformation and failure mechanism of sandcrete masonry structure is presented. The strength evaluation tests for the physical and......

[1]. Abbound, B. E, Hamid , A. A , and Harris , H. G. (1960), "Small-Scale Modeling of Concrete Block Masonry Structures,'' ACI Structural Journal, Vol. 87, No.2.
[2]. Abrams, D.P. (1996), "Effects of scale and Loading Rate with Test of Concrete and Masonry Structures", Earthquake Spectra, Journal of Earthquake Engineering Research Institute, Vol. 12, No. 1, pp. 13-28.
[3]. Abrams, D. P (1997) "Response of Unreinforced Masonry Building", Journal of Earthquake Engineering, Imperial College Press, Vol. 1, No 1, pp. 257-273.
[4]. Abrams, D. P. and T. J. Paulson, (1991), "Modeling Concrete Masonry Building Structures at One-quarter Scale", Structural journal of the American Concrete Institute, No. 88-S50, Vol.88, No .4, pp. 475- 485.
[5]. Abrams , D. P., (1982) , Behaviour of Small -Scale Reinforced Concrete Model Structures, Dynamic Modeling of Concrete Structures, Publication Institute, pp. 65-82.

This research presents a novel approach to recurrent problems related to sensitive information security in the constantly changing field of cloud computing security. Due to the widespread usage of cloud computing, worries about data security have increased, calling for the development of innovative strategies to strengthen defences against such attacks. The fundamental problem is that data stored in the cloud is vulnerable, which highlights the necessity of sophisticated encryption and key management techniques. Traditional approaches frequently fail to reduce the hazards associated with hacked encryption keys and centrally stored keys. Our suggested solution uses a two-phase strategy to get around these obstacles......

[1]. R. Anandkumar, K. Dinesh, A. J. Obaid, P. Malik, R. Sharma, A. Dumka, R. Singh, andS. Khatak, "Securing e-health application of cloud computing using hyperchaotic image encryptionframework," Computers and Electrical Engineering, vol. 100, p. 107860, 2022.
[2]. Z. Bashir, T. Rashid, and S. Zafar, "Hyperchaotic dynamical system based image encryptionscheme with time-varying delays," Pacific Science Review A: Natural Science and Engineering, vol. 18, no. 3, pp. 254–260, 2016.
[3]. W. Y. Chang, H. Abu-Amara, and J. F. Sanford, Transforming enterprise cloud services. Springer Science & Business Media, 2010.
[4]. B. Alouffi, M. Hasnain, A. Alharbi, W. Alosaimi, H. Alyami, and M. Ayaz, "Asystematicliterature review on cloud computing security: threats and mitigation strategies," IEEEAccess, vol. 9, pp. 57792–57807, 2021.
[5]. N. M. Sultana and K. Srinivas, "Survey on centric data protection method for cloudstorageapplication," in 2021 International Conference on Computational Intelligence and ComputingApplications (ICCICA), pp. 1–8, IEEE, 2021.

Given the persistent threat of cyber-attacks targeting the cyber supply chain (CSC) and the widespread repercussions of malware infections, we employ machine learning techniques for attack prediction. With organizations increasingly dependent on CSC systems for business continuity, vulnerabilities and threat landscapes have also surged. While traditional methods like Logistic Regression, Decision Trees, and Random Forest through Majority Voting, we conduct training and testing using 10-fe antivirus software have had some success, the evolving sophistication of threat actors enables them to bypass these defenses......

[1]. Adhikari, R., & Xu, K. (2018). Cybersecurity threat prediction and prevention using machine learning algorithms. Journal of Network and Computer Applications, 107, 57-67.
[2]. Buehrer, G., Evans, M., & Lee, W. (2018). Cyber supply chain risk management. Communications of the ACM, 61(4), 45- 49.
[3]. Cavelty, M. D., & Suter, M. (2016). Cybersecurity and cyber resilience: What is the difference?. Cybersecurity, 1(1), 1-9.
[4]. Cho, S. Y., & Kim, J. H. (2017). Machine learning for network intrusion detection: A review. Journal of Information Processing Systems, 13(3), 505-516.
[5]. Microsoft Malware Prediction, Research Prediction. 2019. [Online] Available: https://www.kaggle.com/c/microsoft-malwareprediction/data

Afundamentalexpectationofthestakeholdersfrom the commercial net of things (IIoT) is its trustworthinessandsustainabilitytokeepawayfrom the lack of human lives in acting a important assignment.AtrustworthyIIoT-enabledcommunity encompasses essential protection characteristics, consisting of trust, privacy, security, reliability, resilience, and protection. The conventional protectionmechanismsandtacticsareinadequateto shield these networks as a result of protocol variations, confined update options, and older diversifications of the safety mechanisms. As a end result, these networks require novel techniques to growth accept as true with degree and beautify security and privacy mechanisms. consequently, in this text, we advocate a unique method to enhance the trustworthiness of IIoT-enabled networks.......

[1]. Y.Luo, Y.Duan, W. Li, P. Pace, andG.Fortino, "A novel mobile and Hierarchical data transmission architecture for smart factories," IEEETrans. Ind.Informat.,vol.14,no.8, pp.3534–3546,Aug.2018. [frameworkforepp.3534–3546,Aug.2018.
[2]. C. Gavriluta, C. Boudinet, F. Kupzog, A. Gomez- Exposito,andR.aire,"Cyber-physicalframeworkfor emulatingallottedcontrolstructuresinsmartgrids," Int.J.choose.energystrengthSyst.,vol.114, 2020,artwork. no. 105375.
[3]. M. S. Mahmoud, M. M. Hamdan, and U. A. Baroudi, "Modeling and control of cyber-bodily systems challenge to cyber attacks: A survey of new advances anddemandingsituations,"Neurocomputing, vol. 338, pp. one hundred and one–a hundred and fifteen, 2019.
[4]. T.Wang,G.Zhang,M.Z.A.Bhuiyan,A.Liu,W. Jia, and M. Xie, "a singular believe mechanism primarily based on fog computing in sensor–cloud machine,"future Gener. Comput. Syst., vol. 109, pp. 573–582, 2020.
[5]. k.Guoetal.,"MDMaaS:clinical-assisteddiagnosis version as a carrierwith artificial intelligence and consider,"IEEETrans.Ind.Informat.,vol.sixteen,no. three, pp. 2102–2114, Mar. 2020

Inorganic and manual practices have been prevalent in Indian farming culture for ages. This results in indirect toxin concentration in plants that are consumed by humans, leading to so many health issues . Adapting kitchen gardens in houses can, to some extent, help in the reduction of toxin consumption, but taking care of such gardens is a tedious task . The incorporation of IoT for plant monitoring can make small kitchen gardens' care more feasible for small families, and so they can adapt organic farming practices easily. Also, using image processing for disease detection in plants can also be proven helpful for the growers. The introduction of modern technologies such as IoT.....

[1]. Maurya, M. K., Yadav, V. K., Singh, S. P., Jatoth, R., Singh, H. K., & Singh, D. (2022). Impact of Climate Change on Diseases of Crops and Their Management—A Review. Journal of Agricultural Science and Technology B, 1.
[2]. Rathore, I., Shiva, V., Thomas, E., & Tarafdar, J. A. (2018). A Comparison on soil biological health on continuous organic and inorganic farming. Horticult Int J, 2(5), 256-262. [3]. Alengebawy, A., Abdelkhalek, S. T., Qureshi, S. R., & Wang, M. Q. (2021). Heavy metals and pesticides toxicity in agricultural soil and plants: Ecological risks and human health implications. Toxics, 9(3), 42. [4]. Galhena, D. H., Freed, R., & Maredia, K. M. (2013). Home gardens: a promising approach to enhance household food security and wellbeing. Agriculture & food security, 2, 1-13.
[5]. Ahmed, M., Rauf, M., Mukhtar, Z., & Saeed, N. A. (2017). Excessive use of nitrogenous fertilizers: an unawareness causing serious threats to the environment and human health. Environmental Science and Pollution Research, 24, 26983-26987

This research was conducted to determine the effect of the type of plastic (HDPE and PP) and the effect of varying the diameter of the heat exchanger (1/2-inch, ¾-inch, and 1-inch) on the physical properties of fuel using pyrolysis process. Plastic waste is one of the environmental pollution materials on a global scale, especially in Indonesia, because plastic waste is difficult to decompose in the soil. One way to overcome this is by recycling plastic waste. However, this method is not very effective ; only about a few percent can be recycled, and the rest ends up in landfills. Another way to do this is to use plastic waste to process it into fuel using a pyrolysis process.......

[1]. Adoe, Dominggus G.H., Wenseslaus Bunganaen, Ika F. Krisnawi, Ferdyan A., Soekwanto., 2016, Pirolisis Sampah Plastik PP (Polyprophylene) menjadi Minyak Pirolisis sebagai Bahan Bakar Primer, LONTAR Jurnal Teknik Mesin Undana, Vol. 03, No. 01, April 2016, 17-26.
[2]. Ahmad Fudloilul A'la., 2022, Pengaruh Variasi Suhu Pada Proses Pirolisis Sampah Plastik LDPE Sebagai Bahan Bakar Alternatif, skripsi S1 Universitas Islam Malang Fakultas Teknik Progam Studi Teknik Mesin Malang.
[3]. Alfiando., Diego Alfin, Irwan Setyowidodo, Nuryosuwito., 2019, Perbandingan konsumsi bahan bakar minyak hasil pirolisis plastik HDPE bercampur serabut kelapa terhadap premium, Jurnal Mesin Nusantara, Vol. 1, No. 2, Januari 2019, Hal. 93-103.
[4]. Alit, Ida Bagus and I Made Mara , 2024, Characteristics physical and chemical properties of fuel from plastic waste for mineral water glasses, World Journal of Advanced Engineering Technology and Sciences, 2024, 11(01), 268–273
[5]. Dinas Kebersihan Kota Mataram, 2012, Komposisi Sampah Kota Mataram, Mataram.

On this paintings, we purpose at constructing a bridge from coarse behavioral statistics to an powerful, quick-response, and strong behavioral model for on line identity robbery detection. We give attention to this issue in on line social networks (OSNs) wherein customers generally have composite behavioral statistics, which include multidimensional low-high-quality information, e.G., offline check-ins and on line person-generated content (UGC). As an insightful result, we validate that there's a complementary impact amongst one of a kind dimensions of records for modeling customers' behavioral styles. To deeply make the most this kind of.....

[1]. Y. Luo, Y. Duan, W. Li, P. Pace, and G. Fortino, "A novel mobile and Hierarchical data transmission architecture for smart factories," IEEE Trans. Ind. Informat., vol. 14, no. 8, pp. 3534–3546, Aug. 2018. [framework for e pp. 3534–3546, Aug. 2018.
[2]. C. Gavriluta, C. Boudinet, F. Kupzog, A. Gomez- Exposito, and R.aire, "Cyber-physical framework for emulating allotted control structures in smart grids," Int. J. choose. energy strength Syst., vol. 114, 2020,artwork. no. 105375.
[3]. M. S. Mahmoud, M. M. Hamdan, and U. A. Baroudi, "Modeling and control of cyber-bodily systems challenge to cyber attacks: A survey of new advances and demanding situations," Neurocomputing, vol. 338, pp. one hundred and one–a hundred and fifteen, 2019.
[4]. T. Wang, G. Zhang, M. Z. A. Bhuiyan, A. Liu, W. Jia, and M. Xie, "a singular believe mechanism primarily based on fog computing in sensor–cloud machine,"future Gener. Comput. Syst., vol. 109, pp. 573–582, 2020.
[5]. k. Guo et al., "MDMaaS: clinical-assisted diagnosis version as a carrierwith artificial intelligence and consider," IEEE Trans. Ind. Informat., vol. sixteen,no. three, pp. 2102–2114, Mar. 20

Gear transmission systems represent a prevalent type of actuator system found in various machinery sectors, especially within the realm of aerospace engineering. When faced with challenges demanding high precision and the inability to precisely measure frictional forces, shaft torsion, elastic deformations, and gear clearances, alternative mechanical approaches or electronic and electrical control mechanisms become essential. These controllers offer the flexibility to adapt control strategies effectively, compensating for discrepancies beyond the capability of mechanical interventions. In this paper, a novel control technique is proposed to enhance the performance of gear transmission systems by employing an optimal controller. Through simulations conducted using Matlab - Simulink software, the authors aim to showcase the efficacy of the optimization strategy introduced in this study.

[1]. G.T. Dinh, X.L. Nguyen and D. T Tran, 2010. "The principle of the machine", Vietnam Education Publishing House.
[2]. P. Q. Nguyen, "Matlab & Simulink", 2006. Science and Technology Publishing House.
[3]. X. M. Phan, D. P. Nguyen, 2002. "Fuzzy control theory." Science and Technology Publishing House.
[4]. Chiba Akira, et al. 2005. "Magnetic bearings and bearingless drives". Elsevier.
[5]. Schmied, J. 1990. "Experience with magnetic bearings supporting a pipeline compressor" Proceeding of the second international symposium on Magnetic Bearings

Environmental health surveillance plays a critical role in safeguarding public health by identifying, assessing, and mitigating risks associated with environmental factors. Despite its significance, the existing surveillance systems often lack integration, real-time data access, and interdisciplinary collaboration, hindering their effectiveness in responding to emerging environmental threats. This article proposes a comprehensive framework for enhancing environmental health surveillance, leveraging advanced technologies and interdisciplinary approaches to achieve more proactive and data-driven public health outcomes. Key components of the framework include data integration....

[1] Alaimo MG, Varrica D. Global public health and toxicology. Encyclopedia of Toxicology, Elsevier; 2024, p. 987–93. https://doi.org/10.1016/B978-0-12-824315-2.00445-0.
[2] Hodge RA, Longo JMJ. International Monitoring for Environmental Health Surveillance. Canadian Journal of Public Health 2002;93:S16–23. https://doi.org/10.1007/BF03405113.
[3] Dórea FC, Revie CW. Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making. Front Vet Sci 2021;8. https://doi.org/10.3389/fvets.2021.633977.
[4] Young BE, Dodge N, Hunt PD, Ormes M, Schlesinger MD, Shaw HY. Using citizen science data to support conservation in environmental regulatory contexts. Biol Conserv 2019;237:57–62. https://doi.org/10.1016/j.biocon.2019.06.016.
[5] Costin A, Eastman C. Need for Interoperability to Enable Seamless Information Exchanges in Smart and Sustainable Urban Systems. Journal of Computing in Civil Engineering 2019;33. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000824.

Gully erosion poses significant challenges to land management and environmental sustainability. Traditional methods of mapping and predicting gully formation and progression are often labour-intensive and lack realtime capabilities. The integration of Digital Twin Technology (DTT) and Artificial Intelligence (AI) offers a transformative approach to addressing these challenges. This paper explores the potential of combining DTT and AI for gully mapping and prediction, highlighting their synergistic benefits, applications, and future prospects. By leveraging real-time data, advanced analytics, and predictive modeling, this integration can enhance the accuracy, efficiency, and effectiveness of gully erosion management.

[1] Poesen, J., Nachtergaele, J., Verstraeten, G., & Valentin, C. (2003). Gully erosion and environmental change: importance and research needs. Catena, 50(2-4), 91-133.
[2] Grieves, M. (2014). Digital Twin: Manufacturing Excellence through Virtual Factory Replication. Florida Institute of Technology.
[3] Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2018). Digital Twin in Industry: State-of-the-Art. IEEE Transactions on Industrial Informatics, 15(4), 2405-2415.
[4] Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach. Pearson.
[5] Qi, Q., Tao, F., & Zhang, M. (2021). Digital Twins and Cyber-Physical Systems in Industrial Informatics. ACM Transactions on Cyber-Physical Systems, 5(3), 21..

This paper presents the implementation of a Night Patrolling Robot equipped with a monitoring and control algorithm. The Night Patrolling Robot operates on a Raspberry Pi platform and utilizes Internet of Things (IoT) technology. Serving as a crucial tool for national security, this robot is employed as a security solution across various organizations such as banks and hospitals. Comprising a Raspberry Pi, which acts as a compact single-board computer, a night vision camera, and a sound sensor, the Night Patrolling Robot system, also known as the spy robot system, is constructed. Users receive real-time information through the sound sensor's detection capabilities,.....

....

In today's insecure world the video surveillance plays an important role for the security of the indoor as well as outdoor places. With the increasing in the number of anti-social activates that have been taking place, security has been given utmost importance lately. Many Organizations have installed CCTVs for constant Monitoring of people and their interactions. For a developed Country with a population of 64 million, every person is captured by a camera 30 times a day. A lot of video data generated and stored for a certain time duration. A 704x576 resolution image recorded at 25fps will generate roughly 20GB per day. Constant Monitoring of data by humans to judge if the events are abnormal is near impossible task as requires a workforce and their constant attention......

[1]. P.Bhagya Divya, S.Shalini, R.Deepa, Baddeli Sravya Reddy,"Inspection of suspicious human activity in the crowdsourced areas captured in surveillance cameras",International Research Journal of Engineering and Technology (IRJET), December 2017.
[2]. Jitendra Musale,AkshataGavhane, Liyakat Shaikh, Pournima Hagwane, Snehalata Tadge, "Suspicious Movement Detection and Tracking of Human Behavior and Object with Fire Detection using A Closed Circuit TV (CCTV) cameras ", International Journal
for Research in Applied Science & Engineering Technology (IJRASET) Volume 5 Issue XII December 2017.
[3]. U.M.Kamthe,C.G.Patil "Suspicious Activity Recognition in Video Surveillance System", Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 2018.
[4]. Zahraa Kain, Abir Youness, Ismail El Sayad, Samih Abdul-Nabi, Hussein Kassem, " Detecting Abnormal Events in University Areas ", International conference on Computer and Application,2018.

Addressing Stock Market Forecasting Challenges through Deep Learning: A Systematic Review" In the financial market, predicting stock market movements poses a formidable challenge due to the complex, noisy, and dynamic nature of its time series data. However, with advancements in computing power, intelligent models offer a promising avenue for investors and analysts to mitigate investment risks. Deep Learning models have garnered significant attention in recent years, with numerous studies exploring their efficacy in forecasting stock prices using historical data and technical indicators. Yet, to ensure reliability, it's crucial to validate these models using profitability metrics and performance evaluations tailored to financial markets. This systematic review delves into Deep.....

[1] L. A. Teixeira and A. L. I. De Oliveira, ''A method for automatic stock trading combining technical analysis and nearest neighbour classification,'' Expert Syst. Appl., vol. 37, no. 10, pp. 6885–6890, Oct. 2010.
[2] J. L. Ticknor, ''A Bayesian regularized artificial neural network for stock market forecasting,'' Expert Syst. Appl., vol. 40, no. 14, pp. 5501–5506, Oct. 2013.
[3] P.-C. Chang, D.-D. Wang, and C.-L. Zhou, ''A novel model by evolving partially connected neural network for stock price trend forecasting,'' Expert Syst. Appl., vol. 39, no. 1, pp. 611–620, Jan. 2012.
[4] M.-W. Hsu, S. Lessmann, M.-C. Sung, T. Ma, and J. E. V. Johnson, ''Bridging the divide in financial market forecasting: Machine learners vs. financial economists,'' Expert Syst. Appl., vol. 61, pp. 215–234, Nov. 2016.
[5] R. C. Cavalcante, R. C. Brasileiro, V. L. F. Souza, J. P. Nobrega, and A. L. I. Oliveira, ''Computational intelligence and financial markets: A survey and future directions,'' Expert Syst. Appl., vol. 55, pp. 194–211, Aug. 2016.

The proliferation of ATM Fraud case in Indonesia is still the main concern for the society especially bank customers. In March 2017, a total loss of 5 billion rupiah was recorded as a result of ATM Frauds. While the only solution which ensures security of ATM machines is a 6-digit PIN, there are still a lot of security cracks that can be used by the criminals to steal customer data and the 6-digit PIN itself. One of the most frequent method of ATM Fraud is skimming. Therefore, the authors bring the concept of.....

[1]. Bank Indonesia. Statictics on ATM Card Transaction (Online). https://www.bi.go.id/id/statistik/sistem-pembayaran. Accessed 30th of January 2018 20:00
[2]. Istnick, Anna C. and Emilio Caligaris. ATM Fraud and Security. DIEBOLD. Amerika Serikat (2003)
[3]. Vellani, Karim H. and Mark Batterson. Security Solutions for ATM. Threat Analysis Group (2003)
[4]. Bhanushali, Nisha and Meghna Chapaneria. Fingerprint based ATM System. Journal for Research, Vol 2 Issue 12 pp 33-34 (2017)
[5]. Patil, Mahesh, Sachin.P. ATM Transaction Using Biometric Fingerprint Technology. International Journal of Electronics, Vol 2 (2012)

A complete and appropriate set of historical and future climate data is a necessary condition to research the impacts of climate change on a specific basin. In this study, daily temperature and precipitation data for the near future (up to 2040) were obtained using the BCSD downscaling method based on CMIP6-SSPs global forecast model scenarios. Overall, the results imply that the basin will be hotter and drier in the near term, which could cause potential problems related to agricultural activities and water consumption. At the same time, these findings can provide further information and support for further investigations leading to practical adaptation strategies in the context of the climate emergency.

[1]. IPCC (2013), Climate change 2013: The Physical Science Basis, IPCC Working Group I Contribution to AR5.
[2]. L. Phan TAD, Nguyen TTH, Tran XP, Phan TTH, and TT, "Initial studies for pollution sources in Cau River Basin," tenth Conf. Inst. Meteorol. Hydrol. Environ., 2010.
[3]. J. R. W. Arnold, J. G., R. Srinivasan, R. S. Muttiah, "Large area hydrologic modeling and assessment part I: Model development1," Wiley Online Libr., 1998.
[4]. Pervez, M. S., and G.M.H. Assessing the Impacts of Climate and Land Use and Land Cover Change on the Freshwater Availability in the Brahmaputra River Basin. 2015.
[5]. Douglas, E., R. Vogel, and C.K. No TitleTrends in Floods and Low Flows in the United States: Impact of Spatial Correlation. J. Hydrol. 2000.

Harvesting is a bottleneck in the cassava production value chain. When done manually and semi-manually, it is tedious. Drudgery is observed through the serial repetition of harvesting operations rather than parallel harvesting approach. This state of things causes loss of time, energy and attacks on the health of farmers like hand blisters; cought due to dust, wind and or rain; and body fatigue. It also leads to low productivity. Transporting the harvesting tool and the harvested products requires supplementary efforts from the farmer. Semi-mechanized and fully mechanized cassava harvesting equipments need less or no human labour force, save time and increase the productivity but in semi-mechanized equipments only the root digging process.........

[1]. Agbetoye, L. A. S., Ademosun, O. C., Ogunlowo, A. S., Olukunle, O. J., Fapetu, O. P., & Adesina, A. (2003). Engineering challenges in developing indigenous machinery for cassava production and processing. Proc. Ann. Conf.of the Nigerian Soc. Eng. (Lagelu 2003), 80–86.
[2]. Amponsah, S. K., Addo, A., & Gangadharan, B. (2018). Review of Various Harvesting Options for Cassava. Cassava.p.291-304.Viduranga Y.Waisundara,InTechOpen, https://doi.org/10.5772/intechopen.71350.
[3]. Babalola, Ayoola & Adetifa, Babatunde & Lawal, Nurudeen & Samuel, Taiwo. (2018). Development of a manually operated cassava harvester using hydraulic medium. FULafia journal of science and Technology 4. 23-29.
[4]. Byju, G.. (2018). Amponsah K.A., J.T. Sheriff and G. Byju. 2014. Comparative evaluation of manual cassava harvesting techniques in Kerala, India. Agricultural Engineering International: CIGR Journal 16: 41-52.
[5]. Chalachai, Sahapat & Soni, Peeyush & Chamsing, Anuchit & Salokhe, Vilas. (2013). A critical review of mechanization in cassava carvesting in thailand. International Agricultural Engineering Journal. 22. 81-93.

Textual Brilliance is a groundbreaking project aimed at leveraging generative AI technology to revolutionize the process of converting video transcripts into detailed notes, facilitated by a chatbot interface. In an era of burgeoning digital content, the need for efficient methods to distill key information from multimedia resources has become increasingly essential. This project addresses this need by providing users with a seamless and interactive platform to extract, condense, and comprehend video content effectively. The project's methodology encompasses several key components. Firstly, it integrates advanced generative AI algorithms capable of analyzing video transcripts and extracting essential information........

[1]. IPCC (2013), Climate change 2013: The Physical Science Basis, IPCC Working Group I Contribution to AR5.
[2]. L. Phan TAD, Nguyen TTH, Tran XP, Phan TTH, and TT, "Initial studies for pollution sources in Cau River Basin," tenth Conf. Inst. Meteorol. Hydrol. Environ., 2010.
[3]. J. R. W. Arnold, J. G., R. Srinivasan, R. S. Muttiah, "Large area hydrologic modeling and assessment part I: Model development1," Wiley Online Libr., 1998.
[4]. Pervez, M. S., and G.M.H. Assessing the Impacts of Climate and Land Use and Land Cover Change on the Freshwater Availability in the Brahmaputra River Basin. 2015.
[5]. Douglas, E., R. Vogel, and C.K. No TitleTrends in Floods and Low Flows in the United States: Impact of Spatial Correlation. J. Hydrol. 2000.