In the last few years, deep learning has led to very good performance on a variety of
problems, such as visual recognition, speech recognition and natural language processing …

Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …

Chest diseases are very serious health problems in the life of people. These diseases
include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, and lung …

As Convolutional Neural Network (CNN) is achieving the state-of-the-art in the field of image
classification, this research work focuses on the finding prominent accuracy of the jute leaf …

The management of modern network environments is becoming more and more complex
due to new requirements of devices' heterogeneity regarding the popularization of the …

In this paper, we address the problem of identifying brain haemorrhage which is considered
as a tedious task for radiologists, especially in the early stages of the haemorrhage. The …

This paper presents a comprehensive review of the principle and application of deep
learning in retinal image analysis. Many eye diseases often lead to blindness in the absence …

Interest in automatic crowd behaviour analysis has grown considerably in the last few years.
Crowd behaviour analysis has become an integral part all over the world for ensuring …

Recent advancements in deep learning architectures have extended their application to
computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal …

This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …