Simple to Complex, Single to Concurrent Sensor based Human Activity Recognition: Perception and Open Challenges
Human activity recognition (HAR) has attracted considerable research attention due to its
essential role in various domains, ranging from healthcare to security, safety, and …
essential role in various domains, ranging from healthcare to security, safety, and …
LogRF: An approach to human pose estimation using skeleton landmarks for physiotherapy fitness exercise correction
Human pose and gesture estimation are crucial in correcting physiotherapy fitness
exercises. In recent years, advancements in computer vision and machine learning …
exercises. In recent years, advancements in computer vision and machine learning …
Preventing road accidents through early detection of driver behavior using smartphone motion sensor data: An ensemble feature engineering approach
Driver behavior refers to the actions and attitudes of individuals behind the wheel of a
vehicle. Poor driving behavior can have serious consequences, including accidents …
vehicle. Poor driving behavior can have serious consequences, including accidents …
Novel glassbox based explainable boosting machine for fault detection in electrical power transmission system
The reliable operation of electrical power transmission systems is crucial for ensuring
consumer's stable and uninterrupted electricity supply. Faults in electrical power …
consumer's stable and uninterrupted electricity supply. Faults in electrical power …
Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders
Lower limb disorders are a substantial contributor to both disability and lower standards of
life. The prevalent disorders affecting the lower limbs include osteoarthritis of the knee, hip …
life. The prevalent disorders affecting the lower limbs include osteoarthritis of the knee, hip …
AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
Structured Query Language (SQL) injection attacks represent a critical threat to database-
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
driven applications and systems, exploiting vulnerabilities in input fields to inject malicious …
Estimation of obesity levels through the proposed predictive approach based on physical activity and nutritional habits
Obesity is the excessive accumulation of adipose tissue in the body that leads to health
risks. The study aimed to classify obesity levels using a tree-based machine-learning …
risks. The study aimed to classify obesity levels using a tree-based machine-learning …
Optimized virtual reality design through user immersion level detection with novel feature fusion and explainable artificial intelligence
Virtual reality (VR) and immersive technology have emerged as powerful tools with
numerous applications. VR technology creates a computer-generated simulation that …
numerous applications. VR technology creates a computer-generated simulation that …
Toward the sustainability of mobile learning applications in higher education: an empirical study
The COVID-19 pandemic has been providing an opportunity to demonstrate the importance
and capability for e-learning to deliver quality learning for many universities. In higher …
and capability for e-learning to deliver quality learning for many universities. In higher …
[HTML][HTML] An efficient artificial intelligence approach for early detection of cross-site scripting attacks
Abstract Cross-Site Scripting (XSS) attacks continue to pose a significant threat to web
applications, compromising the security and integrity of user data. XSS is a web application …
applications, compromising the security and integrity of user data. XSS is a web application …