Bahria University Libraries: Recent submissions

  • DDOS ATTACK DETECTION BASED ON REDUCED FEATURE SET USING SUPERVISED LEARNING ALGORITHM 
    Khan, Abdullah Iqbal Reg # 48445; Hamza, Muhammad Reg # 48446; Zaheer, Faizan Reg # 48437 (Bahria University Karachi Campus, 2020)
  • SEGMENTATION OF RETINAL VEINS PATTERNS USING MORPHOLOGICAL OPERATORS 
    Khan, Mohib Ali Reg # 48512; Siddiqui, Muhammad Ahmed Reg # 50559 (Bahria University Karachi Campus, 2020)
    The purpose of this project is to develop an efficient system based on Artificial Intelligence that detects the distortion with human eye retinal vessels. This project will help doctors to identify the diseases by ...
  • BAHRIA UNIVERSITY FACULTY EXAM DUTY MANAGEMENT SYSTEM (WEB APPLICATION) 
    Batool, Hira Reg # 48534; Dildar, Saba Reg # 48516; Khalid, Zia Reg # 48449 (Bahria University Karachi Campus, 2020)
    Allocation of duties to different invigilators during examination is a problem and concern during examination. A good duty chart for invigilators ensures both faculty and the management ofthe institute is pleased with ...
  • EMR (ELECTRONIC MEDICAL RECORD) MANAGEMENT USING BLOCKCHAIN 
    Maaz, Syed Muhammad Reg # 48405; Hammad, Syed Reg # 48505; Tahir, Sohail Reg # 48503 (Bahria University Karachi Campus, 2020)
    This project works on principles of blockchain to implement a secure channel for medical records transaction of patients on a single portal which can be accessed by organization, doctors and patients to interact with the ...
  • TEXT CLASSIFICATION USING TF-IDF AND MACHINE LEARNING ALGORITMS 
    Khan, Faraz Ahmed Reg # 48474; Hussain, Zaeem Shakir Reg # 48438; Rehman, Abdul Reg # 48414 (Bahria University Karachi Campus, 2020)
    The reason for the creation ofthis system is the need for the classification ofthe newspaper articles. For the desired purpose we have collected many newspaper articles from many different newspapers. The article will ...
  • REAL TIME PATIENT SPECIFIC ECG CLASSIFICATION USING MACHINE LEARNING 
    Hussain, Azkar Reg # 48458; Ali, Aamir Reg # 48401; Rehan, Neha Reg # 48541 (Bahria University Karachi Campus, 2020)
    This project is based on Machine Learning on an ECG signal in real time. The ECG signal is passed through some defined procedures that allow removal of noise. This After data is then passed through a thresholding algorithm ...
  • BUMBLEE BEE PE ROBOT 
    Omer, Rumafah Reg # 48520; Ali, Syed Taimour Reg # 48551; Khan, Muhammad Waqas Reg # 48455 (Bahria University Karachi Campus, 2020)
    Robotics is an industry or a field that is emerging all over the globe. One ofthe most fascinating areas in robotics is humanoid robots. These robots are well sophisticated robots that perform tasks similar to humans ...
  • DECISION SUPPORT SYSTEM FOR FINDING TECHNICIAN ON THE BASIS OF MULTIPLE FACTORS 
    Hasan, Syed Ibad Reg # 48508; Anwar, Rabiha Reg # 48448; Khan, Muhammad Saad Reg # 48472 (Bahria University Karachi Campus, 2020)
    Through several researches and surveys, we have found out that there is a growing need of service providers in Pakistan and people have suggested thal an application should be developed to provide them with such facilities ...
  • DETECTION OF RESPIRATORY DISEASES USING AUDIO RECORDINGS 
    Tariq, Muhammad Saad Reg # 48507; Ilyas, Rana Zeeshan Reg # 48495; Ahmed, Syed Areeb Reg # 48480 (Bahria University Karachi Campus, 2020)
    The main goal of this work was to design a method for automatic detection of various respiratory diseases using audio recordings. Prior attempts at automated classification of adventitious respiratory sounds have tried ...
  • VIDEO GAME GENRE PREDICTION USING VISUAL DATA (VIDEO GAME TRAILER FRAMES) 
    Ali, Aashir Reg # 48473; Hai, Attia tul Reg # 48515; Taj, Asma Reg # 48532 (Bahria University Karachi Campus, 2020)
    Activity is an important part of day-by-day existence. On average, human beings spend about 20% to forty% in their free time having a laugh. (Csikszentmihalyi 1997). The 1990's have been a time of intense television ...
  • TEXT CLASSIFICATION OF ACADEMIC SUBJECT DATA 
    Raja, Neha Reg # 48542; Khan, Saad Ahmed Reg # 48544; Zafar, Urooba Reg # 48491 (Bahria University Karachi Campus, 2020)
    The aim and objective of this project is to develop text classification algorithms to identify the text of four subjects of ll/12th grade. This report explores different techniques used for the classification of text. ...
  • DEPRESSION DETECTION USING NATURAL LANGUAGE PROCESSING 
    Aijaz, Sohaib Reg # 48478; Sahahuddin, Maaz Reg # 48521 (Bahria University Karachi Campus, 2020)
    Depression is viewed as the largest contributor lo global disability and a major reason for suicide. It has an impact on the language usage reflected in the written text. The key objective of our study is to examine Redd ...
  • PALETTE BASED IMAGE RE-COLORIZATION USING NEURAL NETWORKS 
    Ali, Syed Taban Reg # 46051; Rehman, Asim Reg # 48501; Shahrukh, Shaikh Reg # 48526 (Bahria University Karachi Campus, 2020)
    Traditionally or Manually grey scale image colorization requires a lot of time and engage user to consider very much minor details in the form of positioning various colour scribbles, performing image segmentation or ...
  • IDENTIFY SARCASTIC TWEETS WITH COMPARISON OF TEXT AND EMOJI 
    Uzair, Muhammad Reg # 48454; Zaki, Azaan Reg # 48477; Haque, Rameez ul Reg # 48470 (Bahria University Karachi Campus, 2020)
    The objective of this project is to identify the sarcastic twitter tweets with the comparison oftext and emoticons. The report investigates various techniques used for the identification of sarcastic tweets. Different ...
  • BRAIN-COMPUTER INTERFACE (BCI)-CONTROLLED UNMANNED AERIAL VEHICLE (UAV) 
    Shah, Yousuf Nabeel Reg # 48378; Qamar, Moaz Reg # 48882; Afzal, Muhammad Waqar Reg # 48910 (2020)
    Brain-computer interfacing (BCI) is a technology that is almost four decades old and it was developed solely for the purpose of developing and enhancing the impact of Neuroprosthetics. As the non-invasive EEG headsets ...
  • IMAGE BLUR ESTIMATION AND REMOVAL USING DEEP LEARNING 
    Saeed, Usman Reg # 48441; Daniyal, Muhammad Reg # 48468; Ijaz, Usman Reg # 48450 (Bahria University Karachi Campus, 2020)
    The objective of this project is to develop a system that estimates the type of image blur and removes it using deep learning. This report explores different techniques used for image blur estimation and removal. Different ...
  • ACTIVITY RECOGNITION IN EXAMINATION HALL TO PREDICT UNFAIR MEANS 
    Imam, Kanza Reg # 48461; Asim, Ibrar Reg # 48422; Afzal, Osama Reg # 48427 (Bahria University Karachi Campus, 2020)
    Automatically recognizing human’s physical activities (a.k.a human activity recognition or HAR) has emerged as a key problem to ubiquitous computing, human interaction, and human behaviour analysis. In Our project we will ...
  • TUBERCULOSIS DIAGNOSIS USING DEEP LEARNING 
    Shakeel, Shahrukh Reg # 48523; Yaseen, Muhammad Reg # 48539; Jawad, Mian Muhammad Reg # 48488 (Bahria University Karachi Campus, 2020)
    The project aims to develop a CNN model for classifying X-ray images. In this report, we introduced a deep learning-based approach to automatically detect the manifestations oftuberculosis using chest X-rays. Pakistan ...
  • AN IMPROVED VELOCITY AND DISTANCE BASED ANT COLONY OPTIMIZATION ROUTING FOR VEHILCULAR AD-HOC NETWORKS 
    Munaf, Haseeb Reg # 48483; Ammar, Syed Reg # 48494 (2020)
    For the last fifty years, finding efficient vehicle routes has been studied as a representative logistics problem. In the transportation field, finding the shortest path in a road network is a common problem. VANET ...
  • SCHOOL SELECTION DECISION SUPPORT SYSTEM 
    Hussain, Sarah Reg # 48546; Rizwan, Asma Reg # 48425 (Bahria University Karachi Campus, 2020)
    Education is one ofthe most important issues nowadays. Selecting the best school put parents in dilemma, due to the variety ofoptions offered by the institutions. Parents are influenced by various factors such as fees, ...