RETRACTED ARTICLE: A vehicular network based intelligent transport system for smart cities using machine learning algorithms.

J Prakash, L Murali, N Manikandan… - Scientific …, 2024 - search.ebscohost.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 …

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 …

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 …

An Accurate Prediction and Diagnosis of Alzheimer's Disease using Deep Learning

S Baskar, I Nandhini, ML Prasad… - 2023 IEEE North …, 2023 - ieeexplore.ieee.org
Recent years have seen an increase in the amount of focus placed on the study of
Alzheimer's disease (AD) categorization and prediction. Historically, one would handle such …

Efficient security level in wireless sensor networks (WSNs) using four-factors authentication over the Internet of Things (IoT)

A Alsumayt, M Alshammari, ZM Alfawaer… - PeerJ Computer …, 2024 - peerj.com
With the increasing demand for the use of technology in all matters of daily life and business,
the demand has increased dramatically to transform business electronically especially …

Lung Cancer Prediction from CT Images and using Deep Learning Techniques

B Mamatha, D Rashmi, KS Tiwari… - … on Trends in …, 2023 - ieeexplore.ieee.org
Cellular proliferation in the lung tissues is a hallmark of lung cancer. Lung cancer is
particularly dangerous since the lungs are responsible for both breathing in oxygen and …

Ensemble Nonlinear Machine Learning Model for Chronic Kidney Diseases Prediction

S Sampath, R Parameswari, ML Prasad… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
Living in a major metropolitan area has been linked to an increased risk of developing
multiple forms of chronic-kidney-disease (CKD). In developed nations, predicting CKDs is a …