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Classical and Modified Fractional Differential Transform Methods: Applications to Health-related Problems, including covid-19 and Bromsulfthalein (BSP) Studies
(2023-11)
The present thesis employs the Fractional Differential Transform Method (FDTM) to address two health-related problems. The FDTM was initially applied to the linear fractional human liver model, resulting in a semi-analytic ...
Encapsulation and Release of Calcein from Herceptin-conjugated eLiposomes
(2023-06)
Cancer is one of the deadliest diseases afflicting humanity with no definitive cure. Its heterogeneous nature poses significant challenges. Currently, available cancer treatments such as; chemotherapy, radiation therapy, ...
Hydrodynamic Modelling of Sharjah lagoons (UAE) under Climate Changes
(2022-04)
Global warming has become a growing issue, especially because it is causing a rise in sea level which in turn has contributed to increased inundation areas and flooding risks. More specifically, the sea level in the Arabian ...
Design and Testing of LCC-Compensated Dynamic Wireless Electric Vehicle Charging System
(2022-04)
Electric vehicles (EV) are witnessing a growth in the vehicle’s markets. One main reason to this growth is that they serve as a new form of clean transportation. This increasing number needs a sufficient number of charging ...
Optimal Management of Seasonal Pumped Hydro Storage in UAE
(2022-11)
Power demand varies with the time of day and with seasons. Responding to changing demand over time, especially during peak times, is challenging for Energy suppliers. UAE annual demand curve is characterized to be high in ...
Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations
(2021-04)
s transportation electrification increases globally, new technologies emerged in the past few years to meet the growth of the electricity demand. A mobile energy storage system (MESS) could provide several services to the ...
A Water-Energy Nexus Approach for the Co-optimization of the Electrical and Water Systems
(2023-05)
Water and electricity are two essential and critical needs for living; however, water scarcity and uncertainty are becoming more prominent. Water networks are energy-demanding industries where a significant amount of ...
Machine Learning Based Real-Time Earthquake Signal Prediction
(2020-11)
Processing the ground motion signal at an early stage is beneficial for issuing warnings, applying corrective measures and deploying first-responders teams, etc. As an earth quake starts, our proposed machine learning ...