Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …

Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

Compressed sensing (CS) and its medical applications are active areas of research. In this
paper, we review recent works using deep learning method to solve CS problem for images …

Breast cancer has affected many women worldwide. To perform detection and classification
of breast cancer many computer-aided diagnosis (CAD) systems have been established …

Agriculture has becomes an immense area of research and is ascertained as a key element
in the area of computer vision. In the agriculture field, image processing acts as a primary …

Mango fruit is in high demand. So, the timely control of mango plant diseases is necessary to
gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as …

Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …

Abstract Human Action Recognition (HAR) is still considered as a significant research area
due to its emerging real-time applications like video surveillance, automated surveillance …

Among women, breast cancer remains one of the most dominant cancer types. In the year
2022, around 2, 87,800 new cases were diagnosed, and 43,200 women faced mortality due …

Activity recognition systems can detect human physical activities to support the assessment
of health conditions. Among approaches of activity recognition systems were researched …