Maximizing regenerative braking energy harnessing in electric vehicles using machine learning techniques

B Prasanth, R Paul, D Kaliyaperumal, R Kannan… - Electronics, 2023 - mdpi.com
Innovations in electric vehicle technology have led to a need for maximum energy storage in
the energy source to provide some extra kilometers. The size of electric vehicles limits the …

Detection and analysis of faults in transformer using machine learning

A Balan, K Deepa - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Transformers perform a very important role in the power grid. The distribution transformer is
the most pivotal part and its failure may result in great economic loss and interruption in the …

A comparative analysis of deep neural network models in IoT‐based smart systems for energy prediction and theft detection

PK Sebastian, K Deepa, N Neelima… - IET Renewable …, 2024 - Wiley Online Library
Traditional analog and digital meters are being substantially replaced with technological
advances and the Internet of Things (IoT) introduction. The smart meter is highly preferred …

Prediction of neuro cognitive disorders using supervised comparative machine learning model & scanpath representations

V Vinayak, M Paliwal, J Amudha… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Dementia has become a pressing public health issue worldwide, with the number of affected
individuals steadily increasing. As a syndrome, it is characterized by a decline in cognitive …

AI-Driven Stress Analysis and Management: A Novel Approach Leveraging OpenAI and NoSQL Databases to Empower Students in Stress Management and Promote …

BA Reddy, GS Reddy, K Lokesh… - 2024 International …, 2024 - ieeexplore.ieee.org
Now a days, students are under a lot of stress due to social issues and schoolwork.
Additionally, they use smart devices excessively, which negatively impacts their mental …

Temperature-based state of health estimation for autonomous underwater vehicle batteries using machine learning algorithms

R Paul, K Deepa - … IEEE International Conference for Women in …, 2022 - ieeexplore.ieee.org
As the demand for autonomous vehicles for terrestrial transportation increases, there has
been continuous research on alternative unmanned transport in the deep-sea region …

Academates–Your Path to Personalized Learning

A Thapa, S Singh, S Maharjan, M Yadav… - … and Internet of …, 2024 - ieeexplore.ieee.org
Academates is a creative web-based training stage intended to overcome any barrier
among instructors and understudies. With an easy-to-understand interface based on …

Machine Learning for Education: Current State and Future Prospects

E Frias-Martinez - Radical Solutions for Artificial Intelligence and Digital …, 2024 - Springer
Abstract Machine learning (ML) algorithms are transforming our society from an expert-
based approach to a data-based approach in which knowledge is elicited from the vast …

Performance Analysis of EV Battery Based on Trip Chain Model

R Poojitha, S Lekshmi - 2024 10th International Conference on …, 2024 - ieeexplore.ieee.org
Electric Vehicle (EV) batteries are crucial for sustainable way of transportation and
understanding their performance. In this paper, a Novel method called Trip Chain Model …

Machine Learning Strategies for Telecom Churn Prediction

D Poojitha, T Darak, U Samaddar… - 2024 15th …, 2024 - ieeexplore.ieee.org
The ability to predict customer churn represents a critical component in the telecom
industry's quest for enhanced customer retention and long-term viability. In this research …