RETRACTED ARTICLE: A vehicular network based intelligent transport system for smart cities using machine learning algorithms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 …
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 …
An Adaptive Machine Learning model for Walmart sales prediction
Presently, with the quantity of data developing dramatically, the judicious utilization of large
data has become the focal point of ventures to serve the future and settle on better choices …
data has become the focal point of ventures to serve the future and settle on better choices …
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 accurate prediction and diagnosis of Alzheimer's disease using deep learning
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 …
Alzheimer's disease (AD) categorization and prediction. Historically, one would handle such …
Ensemble nonlinear machine learning model for chronic kidney diseases prediction
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 …
multiple forms of chronic-kidney-disease (CKD). In developed nations, predicting CKDs is a …
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 …
An Accurate Stock Prediction Using Ensemble Deep Learning Model
D Baswaraj, R Natchadalingam… - 2023 International …, 2023 - ieeexplore.ieee.org
Financial textual, statistical, and graphical data have all seen increased interest in machine
learning and deep learning as analytical tools in recent years. Anticipating the trend of a …
learning and deep learning as analytical tools in recent years. Anticipating the trend of a …