Browsing Masters Theses by Title
Now showing items 684-703 of 944
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Plannar Microwave Imaging System
(2011-05)Microwave signals have shown a tremendous utility in a wide variety of applications. Due to their penetrative nature, one of the most exciting applications of all is utilization of microwave signals to see through dielectric ... -
Planning and Operation of Smart EV Parking Lots
(2019-05)Aiming to reduce Green House Gas (GHG) emissions and to increase resources security, renewable resources and electric vehicles (EVs) are gaining a lot of global interest. Promoting the use of EVs for consumers requires ... -
Planning of Dynamic Wireless Charging Infrastructure for Electric Vehicles
(2022-04)The pursuit of lower vehicle emissions has allowed the market share of electric vehicles (EVs) to rapidly increase, which has motivated researchers to develop several charging techniques, aiming to minimize the charging ... -
Political Discourse Analysis: An English/Arabic Translation Perspective
(2014-05)Political events throughout history are linked to the development of political discourse which plays an essential role in shaping world political opinion. Tackling these issues linguistically has been largely successful ... -
Polyaniline Based Composite Membranes for PEM Fuel Cells: Experiments and Factorial Design
(2020-12)Higher temperature operation (higher than 100 ºC) in proton exchange membrane fuel cells (PEMFCs) is preferred and has several advantages including enhanced fuel cell kinetics, improved catalysts tolerance for contaminants ... -
Polyaniline-based flexible implantable electrodes for neural sensing/stimulation applications
(2021-03)Implantable bioelectrodes have the potential to advance neural sensing and muscle stimulation, mainly in patients with peripheral nerve injuries. The current emerging prostheses rely on the use of conductive and capacitive ... -
Portable Electromagnetic Surface Profiling System
(2016-06)Due to its potential accuracy and speed, the use of profiling and detection sensing systems has been gaining rapid popularity in the industry. Whether they are implemented in coordinate measurement machines or encoded in ... -
Power Characteristics of Selective Buried Oxide MOSFET
(2016-01)Power dissipation is an important factor in electronic circuit design due to the decreasing feature size of microelectronic devices, high clock frequencies, and large die size, as well as the growing number of mobile, ... -
Practical Considerations in Frequency Diverse Array Radar Signal Processing
(2021-04)The frequency diverse array (FDA) has been shown to produce a range and angle dependent beampattern, unlike a conventional phased array which yields only a direction dependent pattern. The FDA generates a range-selective ... -
Pragmatics and the Translation of Self-Help Discourse
(2016-12)Traditionally, books are meant to instruct, entertain or both. A new wave of books has emerged known as self-help, promising its readers with better lives. These recipe format books present their own characteristics, notably ... -
The Pragmatics of Language Variation: Harry Potter in Translation
(2015-01)Language variation has been talked about in many linguistics and translation books. Language variation has often been treated in a superficial manner and sometimes ignored, but when it is pragmatically driven, conveying ... -
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
(2017-05)The High Efficiency Video Coding (HEVC) standard presents a substantial video compression efficiency improvement at the expense of increasing the computational complexity. This enhancement is primarily due to the introduction ... -
Predicting COVID-19 in the UAE Using Machine Learning
(2022-08)As of 17th August 2022, the United Arab Emirates (UAE) have recorded over 1 million Covid-19 cases since the start of the pandemic with over 2000 deaths and the numbers are still increasing. To combat Covid-19, UAE has ... -
Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques
(2014-06)Diabetes is a chronic disease that needs continuous blood glucose monitoring and self-management. The improper control of blood glucose levels in diabetic patients can lead to serious complications such as kidney and heart ... -
Predicting Stock Prices in Dubai Financial Market Using Neural Networks and the Polynomial Classifiers
(2007-05)Predicting stock prices has always been the aim of investors in stock markets around the globe and has been considered as one of the most challenging applications of modern Time Series Forecasting. Accordingly, there were ... -
Predicting the Fatigue Failure of Fiber Reinforced Composite Materials Using Artificial Neural Networks
(2009-09)Artificial Neural Networks (ANN) have recently been used in modeling the mechanical behavior of fiberreinforced composite materials. ANN have also been successfully used in predicting the fatigue behavior of a certain ... -
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
(2022-04)Energy security, environmental pollution, and global warming have become major concerns due to significant population and economic growth. The transition from fossil fuels, which can be used to generate power constantly, ... -
Prediction of Stability Limits for Binary and Ternary Systems Using the NTRL Liquid Phase Model
(2013-01)Stability limits (spinodal loci) were determined for 53 binary systems and 26 ternary systems. Rigorous thermodynamic criteria for spinodal limits and criticality conditions in terms of mixture Gibbs free energy were derived ...