MSCS: Recent submissions

  • Incorporating Machine Learning Techniques to Predict Risk Assessment in Project Timeline Management 
    Aslam, Maryam; Supervised by Dr. Yawar Abbas Bangash (MCS, 2022-10)
    Numerous project management applications have made extensive use of machine learning algorithms wherein risk assessment module plays an important role in project timeline management. In order to increase the likelihood ...
  • Design Model for Developing Virtual Reality Based Systems for Dyslexia 
    Tariq, Ayesha; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2022-10)
    Virtual Reality (VR is a computer-generated simulated environment that may be similar to or different from the real world), has given a paradigm shift to the technological world. From the world of just images and 2d objects, ...
  • An Automated Dental Lesion Detection System Based on Deep Learning 
    Fatima, Anum; Supervised by Dr. Hammad Afzal. (MCS, 2022-10)
    Artificial intelligence (AI) has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray imaging systems have enabled dental clinicians ...
  • Personality Detection using Deep Learning Techniques 
    Ali, Sarah; Supervised by Dr. Hammad Afzal. (MCS, 2022-09)
    Personality refers to the distinguishing set of qualities of an individual that impacts their attitude, habits, behaviors and pattern of thoughts. Personality traits have been shown to have governing effect on major ...
  • Urdu Summarization using Pre-trained Language Models 
    Munaf, Raja Mubashir; Supervised by Dr. Hammad Afzal. (MCS, 2022-07)
    Ever increasing influx of data over the internet has become a reality which is faced with a challenge of sifting through and extracting meaningful information. During the last two decades, users are being overwhelmed ...
  • Electricity Theft Dectection Via Deep Learning 
    Farid, Sehrish; Supervised by Dr. Naima Iltaf (MCS, 2022-09)
    Electricity theft is a major problem facing many countries around the world. Its adverse effects include loss in revenue for power distribution companies and government economy, the distribution quality of electricity, ...
  • An End to End Adverse Drug Reactions Extraction Modelan 
    Malik, Nimra Tassawar; Supervised by Dr. Naima Iltaf (MCS, 2022-09)
    According to WHO, Adverse drug reactions (ADRs) can be considered as any harmful and undesired consequences of a drug that occur after a patient takes the normal or prescribed doses of drug used for prevention, diagnosis, ...
  • A CBSE Framework to Support System Development with Changing Requirements 
    Hafeez, Raana; Supervised by Dr. Tauseef Ahmad Rana (2022-09)
    Over a period of time, Component-Based Software Engineering (CBSE) has emerged as a strong and widely accepted approach in the field of software engineering. This approach focuses on improving the drawbacks/ disadvantages ...
  • Image-To-Image Translation using Generative Adversarial Networks 
    Noor, Muntaha; Supervised by Dr. Asim Dilawar Bakhshi (MCS, 2022-09)
    Due to the exceptional efficiency of deep learning algorithms and the availability of vast amounts of data, the jobs of evaluating and comprehending digital images for various computer vision applications have gotten a lot ...
  • NLP Based Framework for Selecting SDLC Models in Software Development Process 
    Majeed, Aania; Supervised by Dr. Yawar Abbas Bangash (MCS, 2022-08)
    Requirement engineering plays a significant part in SDLC requirements. The classification of needs is one of the most important aspects of the requirement engineering process. Requirements classification can be done ...
  • Blockchain Governance: A Model for Optimal Decision Making using Game Theory 
    Akram, Rabia; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2022-08)
    Blockchain is an “immutable ledger” a cutting-edge emerging technology that stores and tracks all kinds of data. Whereas Blockchain governance is a decentralized process of proposing, accepting, and rejecting change. Being ...
  • A Process for Development of Mobile Augmented Reality Applications Using Component Based Approach in Layered Architectures 
    Malik, Nabeel; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2022-08)
    Augmented Reality (AR) is a growing field which involves the interaction of physical objects that exist in the real world with those that exist in the digital space. Despite the recent fame, it is still a new domain which ...
  • A Standard for Static Code Analysis of Critical Systems 
    Shaukat, Rida; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2022-09)
    The worth and precision of a software system is determined by the quality of source code and the degree to which the source code under consideration, satisfies the software quality parameters. As a matter of fact, until ...
  • Improved Frame Stitching For UAV Captured Videos 
    Rahman, Shaoor; Supervised by Dr. Abdul Ghafoor (MCS, 2022-08)
    Image stitching combines multiple overlapping image by aligning them to create a large FOV image. The key to achieve the better image stitching is based on better alignment along with better blending of image. This research ...
  • An Improved Auditing Model for Data Remanence in Cloud Computing 
    Saleem, Rabia; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2022-08)
    The Cloud Computing concept is still under development and is being hampered by problems that are preventing people from adopting it and advancing it. The biggest worry has been a lack of security in terms of data and ...
  • Programming for Everyone: A Visual Programming Toolkit 
    Rahman, Mufti Anees Ur; Supervised by Dr. Fahim Arif. (MCS, 2022-08)
    Computer Programming is the backbone of the software industry. This industry is evolving and progressing minute by minute and is arguably one of the most important and impactful trends of the coming years. As the demand ...
  • Recommending Batch of Experts to Questions on Stackoverflow 
    Muzaffar, Aiman; Supervised by Dr. Hammad Afzal. (MCS, 2022-08)
    order to assist the process of questions answering on CQA (Community Question Answering) websites, this paper proposes an improved methodology of batch recommendation of answerers (experts) to questions called BESF (BERT ...
  • Disaster events identification from Social Media Data using Deep machine learning techniques 
    Javed, Iqra; Supervised by Dr. Hammad Afzal. (MCS, 2022-08)
    Social media has seen a boom in recent years, with its users growing worldwide.The ubiquitous nature of social media has made it a useful tool to extract useful information regarding disasters. As in case of any disaster, ...
  • Illumination Enhancement of Low Light Color Images 
    Aslam, Shakeela; Supervised by Dr. Fahim Arif. (MCS, 2022-08)
    Image capture under non-uniform light conditions may lose information in the underexposed portion of an image and make the image information invisible to the eye. Due to their poor quality and low visibility, low-illuminated ...
  • Improved Copy Move Image Forgery Detection Techniques 
    Unknown author (MCS, 2022-08)
    In this revolutionized world where images are being used as proofs, image authentication has become a challenge today. Easily available image editing tools and softwares have made it easy for people to forge an image. Some ...

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