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Pedestrian Detection Using Motion Saliency Aided Convoltional Neural Network
(Electrical Engineering, 2018 , Master Thesis)
Pedestrian and crowd analysis is one of the oldest problems in the area of computer vision and image processing. Researchers have proposed several algorithms that analyze crowds for different purposes aiming to improve ...
Physical Layer Secuirty Techniques for RFID Systems
(Electrical Engineering, 2020 , Master Thesis)
The deployment of RFID technology in various applications is delayed due to
the increased concerns over possible security breaches, especially in healthcare
applications. For medical devices and applications, RFID and ...
Distance Protection of Power System in presence of FACTS elements
(Electrical Engineering, 2020 , Master Thesis)
With the development and implementation of various compensation devices, i.e.
Flexible AC Transmission Systems (FACTS), protection relays are inevitably impacted
in negative ways causing loss of protection accuracy. ...
Investigation on EV charging stations penetration on KAHRAMAA distribution network
(Electrical Engineering, 2021 , Master Thesis)
The electrification of transport sector and the increasing demand of EV load supply from grid-connected public EV charging stations (EVCS) have imposed several challenges on the grid. Impacts include but not limited to ...
Distance power system protection in presence of renewable energies (solar and wind)
(Electrical Engineering, 2021 , Master Thesis)
Renewable energy become widely used in recent years in order to reduce CO2 emission, which produce from burning oil and gas to generate electrical energy. Solar and wind energies are the main types of renewable energies, ...
IM-Based Multiple Access Techniques in 5g Networks: A Novel Scheme and Performance Analysis
(Electrical Engineering, 2021 , Master Thesis)
In the next generations of communication systems, resources' scarcity devolves to a more critical point as a consequence of the expected massive number of users to be served. Furthermore, the users' contradicting requirements ...
Home energy management system embedded with a multi objective demand response optimization model to benefit customers and operators
(Electrical Engineering, 2021 , Master Thesis)
This thesis aims to develop a Home Energy Management System (HEMS) that optimizes the load demand and distributed energy resources considering utility price signal, customer satisfaction, and distribution transformer ...
Deep ConvNets for COVID-19 Recognition from Chest X-Rays
(Electrical Engineering, 2021 , Master Thesis)
Coronavirus disease 2019 (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS)-CoV and Middle East Respiratory Syndrome (MERS)-CoV, which outbreak in ...
IEEE 802.11AX based medium access design for wireless IOT-blockchain network
(Electrical Engineering, 2021 , Master Thesis)
Blockchain has emerged as a potential solution to security concerns over decentralized networks, and communication is the basic essence of the blockchain network and must be carefully planned while integrating with Internet ...
Two-Timescale Multi-Objective Volt/Var Optimization Considering Distributed Energy Resources In Active Distribution Networks
(Electrical Engineering, 2021 , Master Thesis)
The high penetration of distributed energy resources (DERs) introduces several challenges to the power network. They may cause a high level of voltage variation, sudden over/under-power generation, high power losses, and ...