Bahria University Libraries: Recent submissions

  • Hardware Implementation of Grain-128 Cryptographic on FPGA 
    Taha Zafar, 01-133192-130; Tayyab Ali, 01-133192-134 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    With the rapid advancement of digital communication, securing the transmission of data has become a crucial concern. Encryption, a process of cryptography, is commonly used to ensure data privacy and prevent unauthorized ...
  • Performance Enhancement Of Automatic Modulation Classification Using Deep Learning 
    Muhammad Awais, 01-133192-147; Mahad Tariq, 01-133192-054; Ehtisham Jafar, 01-133192-029 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Machine learning has been transformed by deep learning, a potent branch of artificial intelligence. Because of its capacity for processing and learning from big volumes of data, it has grown in popularity. Deep learning ...
  • Programmable AC/DC Power Supply 
    Talha Abid, 01-133192-131; Qasim Ali, 01-133192-163; Syed Ashir Ali, 01-133192-127 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Every electrical and electronic appliance is designed to work perfectly at a certain input voltage. In Pakistan, household electrical and electronic appliances are designed to work properly at 220VAC, 50Hz and most of the ...
  • Pakistan Economic Survey 2022-23 
    Finance Division, Government of Pakistan (Finance Division, Government of Pakistan, 2023)
  • Unmanned Aerial Vehicles Swarm UAVs 
    Muhammad Sheharyar Khan, 01-133192-095; Talha Bin Tahir Butt, 01-133192-133; Usman Ali, 01-133192-165 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    An unmanned aerial vehicle(UAV), commonly known as a drone, is an aircraft without any human pilot, crew, or passengers on board. UAVs are a component of an aircraft system, which includes adding a ground-based controller ...
  • EE Managerial App 
    Shayan Arshad, 01-133192-125; M.Shahzad, 01-133192-161; Akbar Niazi, 01-133192-157 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This Application EE Managerial APP is capable of sending immediate notifications and announcements from the department to students, Faculty, the ASA office or the HOD office where needed. This will be very helpful and play ...
  • Multi Input Multi Output Dc To Dc Converter 
    Syed Ibne Ali Abbas, 01-133192-129; Mubeen Hassan Riaz, 01-133192-145; Arslan Malik, 01-133192-020 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    It is widely used because of its fundamental role in power age, energy capacity, vehicle, foothold, security, aircraft, utility frameworks, flexible electronic gadgets, frameworks reconciliation, and energy productivity ...
  • Behavioral Analysis for Complex/ Dense IoT Network for Authenticated Sensing Results Using Machine Learning 
    Muhammad Mubashir Khalid, 01-244212-010 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    The rapid advancement of technology has propelled the Internet of Things (IoT) to new heights, demanding a strong focus on device security. Machine Learning (ML) algorithms play a vital role in collecting and analyzing ...
  • 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 ...