Electrical Engineering: Recent submissions

  • Neural Network Based Classification of Dental Diseases Using Augmentation Techniques 
    Afzal, Rameesa (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Due to the advancement in deep learning models, they have established a strong foothold in the field of medicine. Dentists are relying increasingly on classification models that employ deep learning. Deep neural ...
  • Networking Benefits of Time Domain Hybrid Modulation Formats in Transparent WDM Optical Networks 
    Shahzad, Farooq (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Rapid increase in data rate intensive applications result in the progressive growth of IP traffic volume, especially in backbone network. To fulfill the requirement of high traffic demand, many operators are searching ...
  • Performance Comparison of AI Algorithms on GPUs and FPGA Based AI Platforms 
    Shahzad, Mustafa (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    AI based machine learning algorithms, that form the backbone of modern object detection systems, are computationally very demanding and hence it becomes very difficult for general purpose low-power embedded devices ...
  • Unwanted Artefact Removal from Images 
    Tariq, Muhammad Hamza (School of Electrical Engineering and Computer Science (SEECS), NUST, 2023)
    Shadows are the artefacts which are present in nature and if present in images they might be a source of hindrance for various Computer Vision tasks including object detection, tracking as well as segmentation, scene ...
  • Data Encoding Technique to Enhance the Reliability of STT-MRAM Memory 
    Jafri, S. M. Murtaza Haider (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Spin-Transfer Torque Magnetic Random Access Memory (STT-MRAM) has emerged as a promising technology for future memory systems due to its non-volatility, high endurance, and low power consumption. However, STT MRAM has ...
  • Deep Learning Based Malicious Traffic Detection in IoT Network 
    Bilal, Muhammad Ahmad (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    So far from their inception, Internet of Things (IoT) devices have been a breakthrough in the technology. These devices are well-connected; they generate and consume data which involves transmission of data back and forth ...
  • Design and Development of an Efficient Rotman Lens Beam former for the Applications of 5G and Beyond 
    Ali, Muhammad Saad (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    With the development of 5G and beyond applications, there is an increased demand for high data rate communication. High band allocations up to mm-waves ensure these high data requirements. Among different beamforming ...
  • Nonlinear Controller Based MPPT Using Quadratic Buck Boost Converter 
    Javaid, Muhammad Usama (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Due to the decreasing natural resources and increasing demand of energy by consumers, it becomes necessary to look for the environmental friendly alternatives. Solar energy provides the best alternative to the fossil ...
  • Password Composition Policies In The Developing World 
    Khan, Saad Ahmed (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Passwords are an important entity in website security. The first barrier between the attacker and the host is the password.Password composition policy (PCP) is the rule upon which a website lets its host or client to ...
  • Efficient Metasurface-based Absorber for Microwave Applications 
    Zarin, Syed Wahab (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Metasurfaces are the artificial periodic surfaces which provide desirable properties not due to to their materials but due to their shapes. The metasurface can be technically engineered to obtain different device based ...
  • Optical Signal Processing based Regeneration for Free Space Optical Links 
    Ahmad, Zaheer (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Relay nodes that are proposed for extending the length of free space optical links are generally based upon simple optical amplifiers.In this thesis i have proposed an all-optical relay that performs regeneration of ...
  • Nonlinear Controller Design for Prevention and Control Of Tuberculosis 
    Bilal, Muhammad (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Tuberculosis is an infectious disease that is caused by bacteria called mycobacterium. It affects mainly lungs of the human body, but it can also affect other organs of the body like spinal cord, brain and bones etc.It ...
  • Performance Analysis of mmWave drone-assisted 5G Hybrid Heterogeneous Network 
    Jan, Muhammad Asim (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Unmanned aerial vehicles (UAVs) provide us with the ability for rapid, on demand, and infrastructure-less deployment. This capability can be exploited to meet the rising demands of futuristic fifth generation (5G) and ...
  • Health Counselling Using Wearable Cameras 
    Mudassir, Maham (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Human movement acknowledgment is a huge part of numerous creative and human-conduct based frameworks. The capacity to perceive different human exercises empowers the development of smart control systems. Normally ...
  • Deep Learning-based Analysis of Oral Cancer 
    Majeed, Mahad (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Can smartphone imaging hardware act as a substitute for WSI scanners in automated computational pathology? How much (if any) performance degradation is observed in deep learning algorithms when they are trained on ...
  • Modelling of Blood Glucose Regulation in Type I Diabetes and its Control Using Adaptive Integral Robust Backstepping and Terminal Synergetic 
    Mughal, Iqra Shafeeq (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Type I diabetes is a chronic disease which occurs when the immune system of a human body loses beta cells found in pancreatic islets, as a result of which insulin is not released enough into the body for glucose to enter ...
  • How to Detect Small Objects using Deep Learning 
    Humayun (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Object detection and classification has become the hall-mark of machine learning and grabbed the attention of computer vision research community for several years. However, detecting small objects in large images ...
  • Minimizing Redundancy in Social Media Data 
    Athar, Fatima (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Social media is a huge hub for multimedia transfer. Many messaging applications have been introduced for transferring multimedia. Most of the data transfer on social media is multimedia and user might get that data ...
  • Analysis of Energy storage system for Renewable Energy fed Power Grid 
    Ahmad, Farooq (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Growing penetration of renewable sources of energy possess more challenges and uncertainties, and impact assessment of their aiding energy storage systems is needed more than ever. The research will be targeted to draw ...
  • Optimizing the Transaction Times for NOMA-Based Mobile Edge Computing 
    Kiani, Anam Yasir (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Non orthogonal multiple access (NOMA) and mobile edge computing (MEC) are evolving as key enablers for future fifth generation (5G) networks as this combination can provide high spectral efficiency, massive connectivity, ...

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