RETRACTED ARTICLE: A vehicular network based intelligent transport system for smart cities using machine learning algorithms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

An autonomous adaptive enhancement method based on learning to optimize heterogeneous network selection

Y Sucharitha, PC Shaker Reddy - International Journal of …, 2022 - ingentaconnect.com
Aims and Background: Mobile workstations are frequently used in challenging environments
of heterogeneous networks. Users must move between various networks for a myriad of …

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 …

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 …