10 citations · 20 across the 6 of their papers we have counts for
7 papers
Deep Learning Approach for Aggressive Driving Behaviour Detection
Farid Talebloo, Emad A. Mohammed, Behrouz Far
Driving behaviour is one of the primary causes of road crashes and accidents, and these can be decreased by identifying and minimizing aggressive driving behaviour. This study iden…
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis
Farid Talebloo, Emad A. Mohammed, Behrouz H. Far
Improper driving results in fatalities, damages, increased energy consumptions, and depreciation of the vehicles. Analyzing driving behaviour could lead to optimize and avoid menti…
A Load Balanced Recommendation Approach
Mehdi Afsar, Trafford Crump, Behrouz Far
Recommender systems (RSs) are software tools and algorithms developed to alleviate the problem of information overload, which makes it difficult for a user to make right decisions.…
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images
Kuo Yang, Emad A. Mohammed, Behrouz H. Far
Objective: This paper presents an Alzheimer's disease (AD) detection method based on learning structural similarity between Magnetic Resonance Images (MRIs) and representing this s…
Reinforcement learning based recommender systems: A survey
M. Mehdi Afsar, Trafford Crump, Behrouz Far
Recommender systems (RSs) have become an inseparable part of our everyday lives. They help us find our favorite items to purchase, our friends on social networks, and our favorite…
Two Sides of the Same Coin: Software Developers' Perceptions of Task Switching and Task Interruption
Zahra Shakeri Hossein Abad, Mohammad Noaeen, Didar Zowghi +2
In the constantly evolving world of software development, switching back and forth between tasks has become the norm. While task switching often allows developers to perform tasks…