Multiple Object Tracking in Robotic Applications: Trends and Challenges
Published in: Applied Sciences Journal
Sep 20, 2022
The recent advancement in autonomous robotics is directed toward designing a reliable system that can detect and track multiple objects in the surrounding environment for navigation and guidance purposes. This paper aims to survey the recent development in this area and present the latest trends that tackle the challenges of multiple object tracking, such as heavy occlusion, dynamic background, and illumination changes. Our research includes Multiple Object Tracking (MOT) methods incorpora...
Problematic Social Media Use and Academic Performance among University Students: An Evaluation from The Middle East
Published in: Open Nursing Journal
Aug 26, 2022
Optimum Design Configuration of Dapped-End Beam Under Dynamic Loading Using TOPSIS Method
Published in: 8th World Congress on Mechanical, Chemical, and Material Engineering
Jul 19, 2022
Model-Driven Approach to Fading-Aware Wireless Network Planning Leveraging Multiobjective Optimization and Deep Learning
Published in: Mathematical Problems in Engineering
Apr 08, 2022
Dragana Krstic
Nenad Petrovic
Issam Al-Azzoni
Efficient resource planning is recognized as one of the key enablers making the large-scale deployment of next-generation wireless networks available for mass usage. Modelling, planning, and software simulation tools reduce both the time needed and costs of their tuning and realization. In this paper, we propose a model-driven framework for proactive network planning relying on synergy of deep learning and multiobjective optimization. The predictions about service demand and energy consumption ...
Model-Driven Approach to COVID-19 Vaccination Planning Leveraging Multi-Objective Optimization and Deep Learning
Published in: Small Systems Simulation Symposium (SSSS)
Feb 28, 2022
Nenad Petrovic
Issam Al-Azzoni
Vaccination is recognized as one of crucial measures in battle against COVID-19, contributing to both the reduction of its negative impact on infected person and overall spread reduction. In this paper, we focus on adoption of model-driven approach to proactive and cost-effective vaccine distribution, relying on deep-learning (for vaccine-demand predictions) and multi-objective optimization (for solving the allocation problem). As outcome, software simulation tool for efficient vaccination plan...
A Framework for Privacy and Security Requirements Analysis and Conflict Resolution for Supporting GDPR Compliance Through Privacy-by-Design
Published in: Communications in Computer and Information Science book series
Feb 11, 2022
Requirements elicitation, analysis, and, above all, early detection of conflicts and resolution, are among the most important, strategic, complex and crucial activities for preventing software system failures, and reducing costs related to reengineering/fixing actions. This is especially important when critical Requirements Classes are involved, such as Privacy and Security Requirements. Recently, organisations have been heavily fined for lack of compliance with data protection regulations, suc...