MSCS: Recent submissions

  • Two-Fold Domain Image Denoising 
    Zulfiqar, Ammara; Supervised by Dr. Abdul Ghafoor (MCS, 2018-05)
    Image denoising has become an important sub domain of image processing with its applications and uses far reaching and eternally evolving. It is an important and rather an unescapable pre-processing step used in various ...
  • Comparitive Analysis of Design Patterns for Aircraft Mission Computer Application 
    Nasim, Muhammad Zeeshan; Supervised By Dr. Faheem Arif (MCS, 2014-08)
    Designing of airborne systems is one of the most critical and important area. Latest software and hardware technologies enable us to design and develop start of the art real time system like fighter aircraft, unmanned ...
  • Video Saliency Detection Incorporating Local Descriptor 
    Nauman, Muhammad; Supervised by Dr. Abdul Ghafoor (2018-03)
    Human eye and brain is one of the most important parts of the Human Vision System. The eye captures visual data and transmit it to the brain for making it more informative to the respective person. Human Vision System ...
  • Analyzing the bias in public opinion and media reports for events in different geographical areas 
    Ahmed, Kanwal; Supervised by Dr. Abdul Ghafoor. (MCS, 2017-08)
    News media is considered as voice of public which represent opinion of people. Sometimes it is observed that news media is biased in case of some certain topic. Now a days people use social media as a major source for ...
  • Attention Model in Recommender Systems 
    Qamber, Asad Billal; Supervised by Dr. Naima Iltaf. (MCS, 2020-09)
    Information available online is already very huge and it is also constantly growing. Presenting relevant information or information that is of interest to the user is not as easy as it sounds. To help users find information ...
  • Framework to cluster structured data and a recovery mechanism 
    Khalid, Amna; Supervised by Dr. Hammad Afzal (MCS, 2014-09)
    Analytic business applications are the trend defining applications; they also define the worth of data at a particular time. For any business organization it is important to keep record and log every day business activities, ...
  • Motion Adjustment, Target Discovery and Tracking Under Violent Atmospheric Conditions 
    ur Rehman Akhtar, Muhammad Sohail; Supervised by Dr. Naveed Iqbal Rao (MCS, 2018-03)
    Discovery of a moving object in a video is simple if the image sequences are stable but will be hard if the captured images are spatially and temporally deformed. It is even more difficult if the target is just few pixels ...
  • Development of a New Object Recoloring Technique 
    Shahzadi, Aisha; Supervised by Dr. Abdul Ghafoor (MCS, 2017-04)
    The processing on noisy images is quite a difficult task, whether they are to be segmented or recolored. If the noisy images are lit by multiple illuminants, the issue of processing such images is more tough. It also ...
  • Automatic detection of isolated airstrips in satellite images 
    Kausar, Anbreen; Supervised By Dr. Naveed Iqbal Rao (MCS, 2014-09)
    Automatic Object Recognition in satellite images is a significant task in Computer Vision Applications. Airstrip detection in satellite images is a complex task due to several variations present in the capture process, ...
  • Development of image quality assessment measure 
    Murtaza, Syed; Supervised by Dr. Abdul Ghafoor. (MCS, 2017-08)
    Without the actual images as reference, human as an observer can simply detect the quality without quantifying a distorted image. Quality assessment with no reference is a very challenging and difficult task in modern ...
  • Development of Brightness Compensation and Contrast Enhancement Technique for Liquid Crystal Displays 
    Khan, Zobia; Supervised by Dr. Abdul Ghafoor (MCS, 2017-03)
    Liquid Crystal Display (LCD) is among the significant inventions of the 21st century, for the display of images. It requires a backlight in order to display different images or frames of a video. The use of power is quite ...
  • A Gradient Routing Protocol For Wireless Sensor Networks With Mobile Sinks Using Zone Based Approach 
    Safdar, Veena; Supervised By Dr. Faisal Bashir (MCS, 2014-08)
    Low power and lossy networks (LLNs) are the active area of research due to their large number of potential applications in different environments like health, environment monitoring and entertainment domain. Many protocols ...
  • A-Semi automatic decision support system for predicting heart failure using advanced classification techniques 
    Khan, Muhammad Subhan; Supervised by Dr. Hammad Afzal (MCS, 2017-08)
    Heart failure is considered as one of the major reasons of death worldwide. The amount of deaths from heart failure surpasses the amount of deaths resulting from any other causes. This point makes heart disease as one of ...
  • A Hybrid Scheme for Detection of Salient Regions 
    Annum, Rabbia; Supervised by Dr. Abdul Ghafoor (MCS, 2017-03)
    Salient region detection intends to find visually important and noticeable regions in visual scenes; as such regions hold significant information and straightforwardly capture human attention. Identified salient objects ...
  • Improved Predictive Models for Thoracic Surgery Using Datamining Techniques 
    Iqbal, Zafar; Supervised by Dr. Hammad Afzal (MCS, 2017-02)
    Data mining is extraction of hidden, useful and precious data from large and high dimensional databases. This field is gaining significant recognition, particularly in medical domain, due to the availability of large amount ...
  • Usability Requirements For Deaf And Mute For Sign Language Translation System 
    Iqbal, Sundas; Supervised By Dr. Fahim Arif (MCS, 2014-08)
    The research was conducted to find out usability requirements of deaf and mutes for better understanding of sign language so that they make consistent signs which could be used as input of a translation machine. The main ...
  • AutomatedUser Requirement Extraction from Reddit using Machine Learning 
    Iqbal, Moniba; Supervised by Dr. Hammad Afzal. (MCS, 2020-09)
    There are a lot of social platforms, where thousands of people discuss many topics. Some of the discussions are worthy and rich sources of gathering requirements of applications. Among these, Reddit is a valuable source ...
  • Efficient Hierarchical Graph-Based Segmentation for Tumor Detection in Magnetic Resonance Images 
    Safdar, Madeha; Supervised by Dr. Naveed Iqbal Rao (MCS, 2016-10)
    Segmentation of medical images hold a very important position where prior to surgery and post-surgery decisions need to be taken for initializing the recovery process and to reduce the time to be taken in recovery. Tumor ...
  • An improved seamless image cloning technique 
    Nadeem, Imran; Supervised by Dr. Abdul Ghafoor. (MCS, 2017-08)
    Creating an image with the help of two images, with seamless boundaries is called seamless image cloning.Image cloning is very useful task for computer graphics and image editing, which requires, producing an image by ...
  • A Framework At Data As Service (DAAS) Layer, For Handling Interoperability And Security In Data Integration 
    Aftab, Shoohira; Supervised By Dr. Hammad Afzal (MCS, 2014-08)
    Data integration is a known technique to provide uniform view on sets of heterogeneous data sources. It not only provides better analysis of data but also facilitates users to query without any knowledge on the heterogeneous ...

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