Bahria University Libraries: Recent submissions

  • Model Predictive Control Based Energy Management System of Clustered Micro grids 
    Jawad Tariq, 01-244211-004 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    As the energy sector undergoes a major transition towards renewable energy-based systems, new challenges arise due to the intermittent, stochastic, and distributed nature of power production and consumption. In response ...
  • Adaptive Neural Network Method For An Exoskeleton Device Control 
    Shoaib Zia, 01-244211-010 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Patients with brachial plexus injuries or those involving the spinal cord often experience a loss of hand function. They need a tool that can assist them in resuming normal life by regaining some use of their hands. ...
  • Power Quality Enhancement of Sensitively Loaded Grids Connected to Textile Industry 
    Muhammad Kashif Shahzad, 01-244211-007 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Ensuring high-quality power is an essential element to achieve seamless and effective functionality of industrial systems. However, weak grids with low power quality can lead to unstable power supply, equipment malfunction, ...
  • Optimal Power Flow In Regional Distribution Feeders With Simultaneous Penetration of DGs And EVs 
    Mahnoor Bangash, 01-244211-005 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Expansion of the distribution network, increase in load demand and incurable power losses in the distribution network have resulted to dis balanced the power-demand cycle. In order to deal with an unexpected increase in ...
  • A Crypto Accelerator of Binary Edward Curves for Securing Low-resource Embedded Devices 
    Asher Sajid, 01-244211-016 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Innovating information security applications including the Internet of things, wireless sensor networks, cloud computing, and radio frequency identification frequently use asymmetric cryptographic methods. Elliptic curve ...
  • Tecno-Economic Feasibility Of Installing PV Based Electric Vehicles Charging Stations In Public Parking Lots For Pakistan 
    Amjad Khalil Abid, 01-244202-004 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    As the global population and industrialization continue to grow, the demand for energy is increasing at a rapid pace. It is projected that between 2018 and 2050, worldwide power utilization will rise by nearly 50%. ...
  • IOT Covid Bot 
    Husnain Shafqat, 01-133182-035; Nabeel khan, 01-133182-071; Waqar Ahmad, 01-133182-131 (Electrical Engineering, Bahria University Engineering School Islamabad, 2019)
    By following to human social distance norms, transmission of COVID-19 may be avoided. It is possible to identify pairs of individuals who are not preserving a social distance limit of roughly six feet between them by using ...
  • AI-Based Reconstruction for fast MRI 
    Umair Zaheen, 01-132192-045; Hamza Khan, 01-132192-011 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    AI-based reconstruction for fast MRI is the most up-to-date way to make magnetic resonance imaging (MRI) faster. This method uses deep learning techniques to build high-quality MRI pictures from under-sampled k-space data. ...
  • Missing Person Finder Using Deep Learning 
    Bismillah Asnam, 01-132192-007; Zeeshan Ali, 01-132192-039 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The increasing number of Missing persons in public spaces such as train stations, airplane terminals, and malls presents a significant challenge for law enforcement agencies and security personnel. In response to this ...
  • Pothole Detection Using Deep Learning 
    Muhammad Raif Ali, 01-132192-027; Muhammad Touseef Shahzad, 01-132192-041 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Potholes on roads are one of the reasons for road accidents and deploying detection units on all roads for better maintenance is difficult. Deep learning-based pothole detection is a more effective method to easily detect ...
  • Mental Workload Detection And Assessment Using Brain Signals 
    Irfan Haider, 01-132182-035; Muhammad Wamiq, 01-132192-029; Dua Mudassar, 01-132192-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Electroencephalogram (EEG) signals can be used to identify mental workload, which is a difficult topic with important industrial and medical implications. In this article, we offer a method for identifying a person's mental ...
  • Autonomous Pick And Place Robotic Arm With Object Detection And Recognition 
    Muhammad Zeshan Malik, 01-132192-030; Saqib Maqsood Shaikh, 01-132192-034; Sulaiman Imran Ahmed, 01-132192-037 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Current robotics pick and place automation is done specifically for each environment and task without much human interaction in a workspace. A collaborative pick-and-place robot is a type of robot that can work alongside ...
  • Deep Learning based Object Detection for Vehicles in Local Urban Traffic 
    Khawaja Hassaan Moiz, 01-132192-014; Ali Amer, 01-132192-004 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The Project focuses on developing a model and a system to detect local urban traffic using a custom locally captured dataset. It captures video feed from a vehicular mounted Camera on a rotatable stabilized platform, which ...
  • E-Safety- “Anti-Theft System On Motorway” 
    Hamza Bin Akhtar, 01-132182-034; Zil-e-Huma, 01-132182-058; Syed Muhammad Ali Imran, 01-132192-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    An anti-theft system for a motorway is a security system that helps prevent unauthorized vehicles from entering the motorway. The system utilizes a network of cameras and image processing algorithms to automatically detect ...
  • Human Identification Using Gait Recognition 
    Muhammad Huzaifa Hassan Khan, 01-132192-043; Muhammad Hassan Khalid, 01-132192-022 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Gait recognition is a way used to recognize individuals based on their walking style. Unlike other identification techniques, gait recognition can be performed from a distance using video footage without requiring the ...
  • Deep Learning-Based Interpreter For Sign Language 
    Muhammad Osama Tahir, 01-132192-026; Maria Akhtar, 01-132192-016 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Organizational effectiveness is the dearth need in this hyper-competitive era. Survival and competitiveness depend upon effective communication. Communication is acquiring the desired feedback through the meaningful and ...
  • Clean Water Generator Using Humidity And Electrolysis 
    Saif Ullah Kamil, 01-132182-027; Muhammad Noman Khan, 01-132192-025; Muhammad Luqman, 01-132192-051 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Water is one of the most important resources while access to clean drinkable water has become a global challenge. The goal of this final-year project is to develop a novel design of an atmospheric water generator that ...
  • Vehicle Classification Software Solution for Commonality and ISO Standards 
    Khurram Idrees, 01-132192-015; Muhammad Danial, 01-132192-020; Muhammad Tariq Butt, 01-132192-028 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Cars are an essential part of modern life, providing people with a convenient and efficient means of transportation. Cars have also had a significant impact on society, contributing to the growth of the automotive industry ...
  • Investigating Mental Workload Through EEG Patterns 
    Abbas Khan, 01-132192-002; Ali Sohail, 01-132192-017 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Workload, or the amount of cognitive processing required to complete a task, has a big impact on productivity, security, and general well-being. A method for detecting mental workload uses electroencephalography (EEG) ...
  • Automated Fruit Grading And Sorting System 
    Kashif Chiragh, 01-132192-013; M.Abdul Rafey, 01-132192-018; Ch Zubair Imran, 01-132192-040 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The agricultural sector of any country represents its economic growth. In the current era efficient, effective and fast detection of fruits grading and sorting is a concern which affects its market and also alters the ...