Due to the wide application of human activity recognition (HAR) in sports and health, a large
number of HAR models based on deep learning have been proposed. However, many …

Deep learning models have recently attracted great interest as an effective solution to the
challenging problem of human activity recognition (HAR) and its widespread applications in …

Sensor-based human activity recognition (S-HAR) has become an important and high-
impact topic of research within human-centered computing. In the last decade, successful …

The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

During the past decade, human activity recognition (HAR) using wearable sensors has
become a new research hot spot due to its extensive use in various application domains …

Currently, identification of complex human activities is experiencing exponential growth
through the use of deep learning algorithms. Conventional strategies for recognizing human …

With the increasing popularity of smartphones, user identification has become a critical
component to ensure security and privacy. This study looked into how smartphone sensors' …

Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …

Nanomaterial-based aptasensors are useful devices capable of detecting small biological
species. Determining suitable signal processing methods can improve the identification and …

In this paper, we propose a deep learning model based on a novel Divide and Conquer
Attention (DCA) mechanism, for efficient detection of Distributed Denial of Service (DDoS) …