Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …

The essential human gait parameters are briefly reviewed, followed by a detailed review of
the state of the art in deep learning for the human gait analysis. The modalities for capturing …

In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …

Rainfall prediction is an important task due to the dependence of many people on it,
especially in the agriculture sector. Prediction is difficult and even more complex due to the …

Deep learning (DL) pipelines have evolved for over a decade now and are efficient at
solving many challenging problems of image and signal processing applications. Designing …

The application of metaheuristic algorithms is one of the most promising approaches for
solving real-world problems. The marine predators algorithm (MPA) is a recently proposed …

Finding feasible solutions to real-world problems is a crucial task. Metaheuristic algorithms
are widely used in many fields due to the variety of solutions they can produce. The grey …

Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …

In recent years, single modality-based gait recognition has been extensively explored in the
analysis of medical images or other sensory data, and it is recognized that each of the …

It is a challenging task to identify a person based on her/his gait patterns. State-of-the-art
approaches rely on the analysis of temporal or spatial characteristics of gait, and gait …