Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Human action recognition and posture prediction aim to recognize and predict respectively
the action and postures of persons in videos. They are both active research topics in …

With the exponential growth of video data, there is an urgent need for automated technology
to analyze and comprehend video content. However, existing video understanding models …

In this article, we implement an action recognition technique based on features fusion and
best feature selection. In the proposed method, HSI color transformation is performed in the …

Objective: The plants diseases affect both the production and quality of food in the
agriculture sector. Computer vision techniques can contribute significantly by detecting the …

As the number of internet users increases so does the number of malicious attacks using
malware. The detection of malicious code is becoming critical, and the existing approaches …

Vision Transformer, which performs well in various vision tasks, encounters a bottleneck in
skeleton-based action recognition and falls short of advanced GCN-based methods. The …

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 …

Vision-based human action recognition (HAR) is a hot topic of research from the decade due
to a few popular applications such as visual surveillance and robotics. For correct action …

In this paper, we propose a novel approach to video action recognition that integrates a
modified and optimized 3D Convolutional Neural Network, a Long Short-Term Memory …