IoT-based battery management system for E-vehicles

S Krishnakumar, A Kumar, N Selvarani… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
In today's modern world electric vehicles are in trend for transportation purposes and it
replaces traditional transportation, by making a pollution-free environment. In electric …

Efficient development of supervised learning algorithm for kidney stone prediction

CS Kolli, MP Raghunath, S Meenakshi… - 2022 International …, 2022 - ieeexplore.ieee.org
Many individuals visit the emergency room due to severe discomfort caused by kidney
stones. A kidney stone is a hard, solid particle of a substance that forms as a result of the …

Identification of disease based on symptoms by employing ML

S Abidin, MP Raghunath, P Rajasekar… - 2022 International …, 2022 - ieeexplore.ieee.org
A precise and appropriate examination of any health-related condition is critical for disease
detection and care. In the event of a critical illness, the standard method of detection may not …

Design and implementation of advanced controller for aircraft control

S Sathya, KN Karthick, H Gudimindla… - 2022 International …, 2022 - ieeexplore.ieee.org
Aircraft are the most common kind of transportation utilized by the government, commercial,
military, and so on. Controlling the motion of an aircraft is a highly nonlinear operation …

Maximizing Power Utilization through Machine Learning and IoT based Power Flow Strategies in DC Micro Grids with Renewable Energy Resources

G Senthilkumar, B Mallala, S Sivarajan… - 2024 International …, 2024 - ieeexplore.ieee.org
The various challenges in the power grid with renewable energy systems are overcome
using the implementation of DC microgrids. This helps in obtaining a reliable and efficient …

Deep Learning based Channel Assignment with Load Balancing in MANET for Improved Performance

RG Prasad, T Rishith, C Chanakyan… - 2024 International …, 2024 - ieeexplore.ieee.org
In Mobile Ad Hoc Networks (MANETs), the effective channel assignment is important for
optimizing the performance of the network. The proposed system uses deep learning with …

Development of Intelligent Power Quality Management in Renewable Energy System in Smart Grid using Deep Learning

P Rajendran, J Ranga, PV Prasad… - 2024 International …, 2024 - ieeexplore.ieee.org
The present research addresses the crucial issues in intelligent power quality management
inside smart grids by merging machine learning models with an Internet of Things (IoT) …

Big Data Analysis on Intelligent Traffic Surveillance by Incorporating Sensors and IoT Devices on Roads

A Devi, A Kapruwan, M Shrimali… - 2024 International …, 2024 - ieeexplore.ieee.org
Rather than relying on public transportation, people are increasingly comfortable driving
their automobiles to satisfy their mobility needs. Reasons for this include the automobiles' …

Developing Algorithms for Personalized Recommendations Based on User Behavior

M Sangeetha, BS Kumar… - 2023 5th …, 2023 - ieeexplore.ieee.org
To enhance the performance of user personalized recommendation algorithms, this study
offers a user personalized recommendation calculation based on deep learning network …

Expeditious Diagnosis of Cerebral Aneurysm on MR Brain Angiogram Images Utilizing Soft Computing Techniques

K Maheswari, N Revathi… - 2024 International …, 2024 - ieeexplore.ieee.org
It is always a challenging task for radiologists to detect Cerebral Aneurysms (CA).
Unenhanced magnetic resonance angiography (MRA) has become a popular screening tool …