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
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...
Arabic Text Classification based on Semantic Relations
Published in: International Journal of Mathematics and Computer Science
Jan 29, 2022
Arabic Text Classification: A Review Study on Feature Selection Methods
Published in: 22nd International Arab Conference on Information Technology (ACIT)
Dec 21, 2021