Authors: Ruchi Upadhya, Varun Jain Abstract: The escalating global threat of antimicrobial resistance has intensified the need for novel therapeutic...
Promotion of Micro, Small and Medium Enterprises for The Revival of Rural Economies in Etche Local Government Area, Rivers State, Nigeria
Authors: OGRA Olatunbosun Abiodun Emmanuella, ONYEDIKACHI, Oluchi Jemimah Abstract: Micro, Small and Medium Enterprises (MSMEs) are widely recognised as important...
Automated People Counting Across Indoor and Outdoor Scenes Through Deep Learning
Authors: Assistant Professor Dr.B.Nageshwar Rao, E. Prathyusha Abstract: Vision-based people counting has become an essential component of intelligent surveillance systems...
A Machine Learning Approach for Real-Time Anomaly Detection in 5G Networks
Authors: Assistant Professor S.Venkateswara Rao, B. Sindhuja Abstract: With its ultra-high data speeds, low latency, enormous device connectivity, and better...
Deep Learning-Based Waste Material Classification for Intelligent Automated Trash Segregation
Authors: Assistant Professor P.Premchand Goud, B. soundarya Abstract: Preserving the environment, promoting sustainable development, and preserving resources all depend on...
A Comprehensive Study of Smart Manufacturing Using Industry 4.0 Technologies
Authors: Mr. Rahul Ghotkar, Ms. Amisha Malviya, Mr. Rahul Khobragade Abstract: The manufacturing industry is undergoing a significant transformation driven...
A Study on Derivatives Future and Options at India Bulls Limited
Authors: Nevuri Praneeth, Associate Professor Mr. Bh.L. Mohanraju Abstract: The development of the derivatives market particularly instruments such as forwards,...
A Study on Cash Flow Statement of Tata Motors
Authors: S. Srikar Reddy, Associate Professor Dr. K. Pushpalatha Abstract: This study aims to comprehensively analyze the cash flow statement...
Comparative Analysis Of Regression And Ensemble Learning Techniques For Agricultural Yield Forecasting
Authors: Ambuj Kumar Misra Abstract: Accurate agricultural yield forecasting is critical for food security, economic planning, and sustainable resource management....
Machine Learning-Based Crop Yield Prediction Using FAO And World Bank Secondary Data
Authors: Ambuj Kumar Misra Abstract: Global food security remains a critical challenge in the 21st century, with crop yield prediction...