H.3. Artificial Intelligence
Game Theory Solutions in Sensor-Based Human Activity Recognition: A Review

Mohammad Hossein Shayesteh; Behrooz Shahrokhzadeh; Behrooz Masoumi

Volume 11, Issue 2 , April 2023, , Pages 259-289

https://doi.org/10.22044/jadm.2023.12538.2407

Abstract
  This paper provides a comprehensive review of the potential of game theory as a solution for sensor-based human activity recognition (HAR) challenges. Game theory is a mathematical framework that models interactions between multiple entities in various fields, including economics, political science, ...  Read More

Adaptive Pruning of Convolutional Neural Network

S. Ahmadluei; K. Faez; B. Masoumi

Volume 11, Issue 1 , January 2023, , Pages 53-67

https://doi.org/10.22044/jadm.2022.12337.2380

Abstract
  Deep convolutional neural networks (CNNs) have attained remarkable success in numerous visual recognition tasks. There are two challenges when adopting CNNs in real-world applications: a) Existing CNNs are computationally expensive and memory intensive, impeding their use in edge computing; b) there ...  Read More

Abnormal Behavior Detection over Normal Data and Abnormal-augmented Data in Crowded Scenes

V. Fazel Asl; B. Karasfi; B. Masoumi

Volume 10, Issue 2 , April 2022, , Pages 171-183

https://doi.org/10.22044/jadm.2022.11061.2253

Abstract
  In this article, we consider the problems of abnormal behavior detection in a high-crowded environment. One of the main issues in abnormal behavior detection is the complexity of the structure patterns between the frames. In this paper, social force and optical flow patterns are used to prepare the system ...  Read More