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Optimizing Cloud Virtual Machine Migration: Minimizing Downtime and Migration Time Using Machine Learning
(Computer Science & Engineering, 2024 , Dissertation)
Cloud computing has revolutionized the way services are delivered to users, offering unparalleled flexibility and scalability. However, cloud services can become temporarily unavailable due to maintenance, resource allocation, ...
A METHODOLOGY TO ASSES ENVIRONMENTAL SUSTAINABILITY OF EDUCATIONAL BUILDINGS IN QATAR WITH A CASE STUDY
(Engineering Management, 2024 , Dissertation)
Addressing the urgent global call for sustainable solutions in the building sector, this study embarked on suggesting an approach to investigate the life cycle sustainability analysis of the school buildings in Qatar in ...
AN ANALYTICAL APPROACH-BASED DECISION SUPPORT FRAMEWORK FOR BUILDING SECURE FOOD SYSTEMS
(Engineering Management, 2024 , Dissertation)
Food security refers to a system's capability to provide all individuals with social, physical, and economic access to sufficient, safe, and nutritious food that satisfies their needs and preferences for a healthy and happy ...
ON APPLICATIONS OF MACHINE LEARNING IN IRS NOMA ARCHITECTURES FOR 5G AND BEYOND
(Electrical Engineering, 2024 , Dissertation)
To foster the advancement of smart city components and the Internet of Things (IoT) applications, future wireless systems need to offer extensive system capacity, ultra-high data speeds, minimal latency, high dependability, ...
Optimizing the Planning of Hosting Mega Sports Events: A Case Study for FIFA World Cup Qatar 2022
(Engineering Management, 2024 , Dissertation)
Qatar will be hosting the 2022 FIFA World Cup (FWC22) becoming the first
nation in the Middle East to ever host such an event. However, being the first country
to host such a sporting event and the fact that the event ...
Enhancing Fuzzy Rule-Based Anfis Neuronal Fuzzy Architecture Through Integration with Binary Particle Swarm Optimization Technique for Low-Dimensional Data Modeling
(Computer Science & Engineering, 2024 , Dissertation)
Fuzzy rule-based systems are instrumental in data interpretation, especially in scenarios dominated by low-dimensional data. While deep learning has revolutionized areas like image and speech recognition, its effectiveness ...