Intelligent controller design and fault prediction using machine learning model

K Kumar, SV Pande, TCA Kumar… - … on Electrical Energy …, 2023 - Wiley Online Library
In a solar power plant, a solid phase transformer and an optimization coordinated controller
are utilized to improve transient responsiveness. Transient stability issues in a contemporary …

A vehicular network based intelligent transport system for smart cities using machine learning algorithms

J Prakash, L Murali, N Manikandan, N Nagaprasad… - Scientific reports, 2024 - nature.com
Smart cities and the Internet of Things have enabled the integration of communicating
devices for efficient decision-making. Notably, traffic congestion is one major problem faced …

Time-Series Cryptocurrency Forecasting Using Ensemble Deep Learning

KR Rao, ML Prasad, GR Kumar… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Cryptocurrency is now widely accepted as a payment and exchange method, permeating
nearly every aspect of the financial sector. Similar to the non-stationary and very erratic price …

Electric vehicle charging network optimization using multi-variable linear programming and bayesian principles

AK Venkitaraman, VSR Kosuru - 2022 Third International …, 2022 - ieeexplore.ieee.org
Electric vehicles charging stations are capital intensive and time consuming. It is necessary
to optimize resources to make fast charging a viable and easily available option. To solve …

Ensemble Deep Learning Framework for Classification of Skin Lesions

SB Patil, HVR Rao, K Chatrapathy… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Skin cancer is one of the majority prevalent malignancies that can be diagnosed visually
and then further investigated with dermoscopic analysis and other procedures. Several skin …

Web application based Diabetes prediction using Machine Learning

GR Kumar, RV Reddy, M Jayarathna… - … on Advances in …, 2023 - ieeexplore.ieee.org
Diabetes is a worldwide epidemic that affects millions of people. Long-term consequences,
such as cardiovascular disease and renal failure, are more likely to occur in people with …

A novel private encryption model in IoT under cloud computing domain

S Yadala, CSR Pundru, VK Solanki - The International Conference on …, 2023 - Springer
The presence of the Internet of Things (IoT) works with the assortment and diffusion of
metropolitan information data. In any case, it can release clients' very own security data in …

Traffic Congestion Detection from Surveillance Videos using Deep Learning

GB Madhavi, AD Bhavani, YS Reddy… - … Engineering & their …, 2023 - ieeexplore.ieee.org
Countless cameras, both public and private, have been installed in recent years for the
objectives of surveillance, the monitoring of anomalous human activities, and traffic …

Abnormal Behavior Prediction in Elderly Persons Using Deep Learning

AV Ramana, U Bhoga, RK Dhulipalla… - … Engineering & their …, 2023 - ieeexplore.ieee.org
A" smart home" is one in which conveniences like remote monitoring and helpful services
are installed to help their residents maintain their sense of autonomy and privacy. When …

Crop Yield Prediction Using Deep Reinforcement Learning

S Deivasigamani, AJM Rani… - … on Trends in …, 2023 - ieeexplore.ieee.org
Predicting crop production using information about the environment, soil, water, and crops
themselves is an area ripe for investigation. Deep learning-based models often extract crop …