Drowsiness is among the important factors that cause traffic accidents; therefore, a
monitoring system is necessary to detect the state of a driver's drowsiness. Driver monitoring …

The most significant disturbance now affecting all economies and financial institutions is the
digital transformation of economies. The world's economy and financial institutions are …

This study offers a new method for identifying and categorizing mango leaf illnesses using a
Convolutional Neural Network (CNN) model based on federated learning. Diseases that …

Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …

The production of apples contributes significantly to the world's food security, but it also
confronts significant obstacles because of illnesses that harm apple leaves. Early diagnosis …

This research includes four disease levels and one healthy level in a federated learning
Convolutional Neural Network (CNN) model for detecting and categorizing tomato leaf …

This paper offers a unique method that combines convolutional neural networks (CNN) with
federated learning to identify and classify illnesses in spinach leaves. 6,785 photos of …

This study introduces a convolutional neural network (CNN) technique based on federated
learning to classify bean leaf diseases. The research allays data privacy by allowing users to …

Human errors are widely considered among the major causes of road accidents.
Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and …

This study describes a unique federated learning method for classifying bean leaf disorders
and determining the severity of each condition using convolutional neural networks (CNNs) …