RETRACTED ARTICLE: A vehicular network based intelligent transport system for smart cities using machine learning algorithms
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 …
devices for efficient decision-making. Notably, traffic congestion is one major problem faced …
Time-Series Cryptocurrency Forecasting Using Ensemble Deep Learning
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 …
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 …
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 …
and then further investigated with dermoscopic analysis and other procedures. Several skin …
Web application based Diabetes prediction using Machine Learning
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 …
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
Aims and Background: Mobile workstations are frequently used in challenging environments
of heterogeneous networks. Users must move between various networks for a myriad of …
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 …
objectives of surveillance, the monitoring of anomalous human activities, and traffic …
Abnormal Behavior Prediction in Elderly Persons Using Deep Learning
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 …
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 …
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 …
particularly dangerous since the lungs are responsible for both breathing in oxygen and …