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BEE (BUES-FYP): Recent submissions

  • Muhammad Hamid Raza, 01-133182-059; Wajahat Khan, 01-133192-137 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This project endeavors to create a cutting-edge method for identifying movements performed during basketball games through the use of Fast R-CNN and deep learning techniques. The proposed system takes frames extracted from ...
  • Muhammad Sameer Ul Hassan, 01-133192-092; Osama Bin Shahab, 01-133192-162; Muhammad Meeran Tayyab, 01-133192-169 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Total Knee Replacement (TKR) Surgery is a commonly performed orthopedic procedure, especially among aging populations. However, the rehabilitation period that follows the surgery is often perceived as lengthy and burdensome. ...
  • Osama Bin Altaf, 01-133192-106; Muhammad Aniq Siddiqui, 01-133192-066; Sarosh Ghalib, 01-133192-122 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Every year thousands of people get stroke attacks. In which some lose the ability to move their muscles. Some of those stroke survivors lose the ability to move their fingers completely or partially. We present a delicate ...
  • Muhammad Zeeshan Aslam, 01-133192-103; Abdullah Bin Sadiq, 01-133192-007; Muhammad Saad Mughal, 01-133192-088 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Data acquisition is a system that gathers input and output data parameters from field sensors, analyses the data, creates the required control actions for operation, and keeps track of the collected data on a mobile ...
  • Hassan Zulfqar, 01-133192-042; Aftab Ali, 01-133192-011 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    In the past, manual detection of cracks and discontinuities in railway tracks was not only time-consuming but also prone to inaccuracies. To address this issue, a robot was developed for the easy, accurate, and cost-effective ...
  • Danyal Aslam, 01-133192-028; Faseeh ur Rehman, 01-133192-032; Muhammad Talha Imran, 01-133192-097 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Video sensors with higher resolution have been developed, however, environmental factors, encoding, and storage technologies often cause distortions in video quality. As a result, the recording or video may become unusable. ...
  • Saad Khan, 01-133192-119; Kashif Taj, 01-133192-086; M.Ashar Ishaq, 01-133192-057 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    A coma is an unresponsive condition of unconsciousness for the sufferer. These patients need constant care and observation. In this project, we put forth a technique for automatically and continually logging patient data ...
  • Huraira Arshad, 01-133192-176; Amna Manzoor, 01-133192-167; Rehan Zaheer, 01-133192-114 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Medical imaging data in today’s healthcare information systems is an essential part of diagnostics. Securing medical imaging data plays a critical role in the current time but today it is a complex task of maintaining data ...
  • Osama Khan, 01-133192-107; Abdul Moiz, 01-133192-003; Mohsin IIyas Abbasi, 01-133192-059 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    The objective of this postulation project is to foster shrewd glasses that are explicitly made to assist with people who are visually impaired by perceiving items and offering hear-able guidance. Current innovations, for ...
  • Zainab Batool, 01-133192-139; Hanif Ullah, 01-133192-170; Samrah Khan, 01-133192-121 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This research project focuses on developing a power electronics-based test bench drive for stepper motors to improve their working efficiency, reliability, and accuracy. The project aims to achieve better output from the ...
  • Muhammad Sabhee Khan, 01-133192-090; Shabbar Hussain, 01-133192-124; Muhammad Ali Hassan, 01-133192-065 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    In this work, a new deinterleaving algorithm that can be used as a part of an ESM system and its implementation by using an FPGA is studied. The function of the implemented algorithm is interpreting the complex electromagnetic ...
  • Muhammad Bilal, 01-133192-069; Muhammad Shamim, 01-133192-094; Muhammad Farhan, 01-133192-077 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    A digital twin is a virtual representation of a physical object or system used for simulation, analysis, and monitoring. It uses data from sensors and other sources to create a digital model of the object or system, allowing ...
  • Raja Abdul Wahab Zamir, 01-133192-109; Hassan Abbas, 01-133192-040; Talha Ahmed, 01-133192-132 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Predicting stock prices accurately is very important in ever-changing political and economic situations in order to minimize risks and maximize returns.Due to the high rate of returns, liquidity, and dividends investors ...
  • Faizan Ahmad, 01-133192-030; Sawera Aslam, 01-133192-123; Hamna Shakil, 01-133192-037 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    We are currently witnessing the dawn of a new industrial revolution, characterized by the rapidly changing industrial landscape. In this revolution, RISC-V has emerged as a widely used term to describe the development of ...
  • Aitzaz Saleem, 01-133192-062; Hassan Abbas, 01-133192-041 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    The Classification Of Surface EMG Signals Through Machine Learning project aims to develop an accurate and efficient system for the classification of surface electromyography (EMG) signals to validate the treatment of ...
  • Ayesha Anwar, 01-133192-026; Hannia Maqsood, 01-133192-039; Kamran Shahid, 01-133192-051 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    In this technological era, Moore’s law is now considered as a bottle's neck in the growth trends of digital electronic due to tunneling at the sub-atomic level. Quantum computers are considered as a solution to this ...
  • Abdul Moiz, 01-133192-002; Abdullah Zamir, 01-133192-010; Majid Mumtaz, 01-133192-058 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    The use of cryptographic techniques is crucial for securing resource-constrained devices and IoT networks that often have limited computing power and memory. However, due to their resource constraints, these devices are ...
  • Arsalan Latif, 01-133192-019; Aimen Mughall, 01-133192-014; Iqra Nadeem, 01-133192-047 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Robots without additional sensors automatically stop when a collision is detected, which causes unneeded downtime and wear and tear on the installation. With the aid of the time-of-flight vision camera Kinect V2 along with ...
  • Muhammad Aqib Akhlaq, 01-133192-067; Raja Muhammad Soban Farooq, 01-133192-111; Muhammad Umer Saleem, 01-133192-171 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This project aims to design and implement a more accurate and hysteretic Automatic Voltage Regulator (AVR). Supply voltage in rural areas continues to be below necessary levels. This poses a serious threat to sophisticated ...
  • Muhammad Aaiz, 01-133192-060; Muhammad Farhan, 01-133192-076; Najeeb Malik, 01-133192-104 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Video quality assessment is conducted blindly using extracted features from multimedia content, as there is no reference available. However, using NR-based methods to evaluate video quality can be difficult since the ...

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