MSCS: Recent submissions

  • Towards making semantic web more collaborative for novice users 
    Haider, Aqeel; Supervised By Dr. Arif Raza (MCS, 2014-03)
    Day by day semantic metadata is increasing and it is becoming more difficult to search the required data and get the accurate information. Tools are developed for performing different operations over the semantic web, ...
  • Analysis and Design of Requirements and Usability Aspects in Android Applications for Visually Impaired Persons 
    Ashraf, Anam; supervised by Dr. Sarmad Sadik (MCS, 2015-02)
    In this era of information and communication, technology has become indispensable for people with blindness. It is noticed that for visually challenged users, the progress has been much slower as compared to normal people. ...
  • Histogram equalization using weighted transformation function for contrast enhancement 
    Jabeen, Asma; Supervised by Dr. Naima Iltaf (MCS, 2015-12)
    Images are everywhere and play significant role in our everyday life and scientific research. Captured images may not be in good quality because of some undesirable conditions such as bad lighting, and capturing devices ...
  • Blockchain against Power Theft: A Consensu 
    Naheed, Amna; Supervised by Dr. Ayesha Maqbool. (MCS, 2019-09)
    Power is considered as bone for life, life line of a country’s economy; a key instrument for the socio-economic evolution of any country. Pakistan is in severe energy crisis which is sadly obstructing the economic growth. ...
  • Study and implementation of efficient algorithms for collective communication operation for message passing in Java 
    Khan, Mansoor Ahmed; Supervised by Dr. Hammad Afzal (MCS, 2014-04)
    Parallel programming is an emerging trend for writing parallel applications for compute clusters with multiple processing cores not only for the scientific community but also for the research students and industry. Message ...
  • Designing a Learning Aid to Assist the Dyslexic Children With Writing Difficulties 
    Tariq, Rabbia; supervised by Dr. Seemab Latif (MCS, 2015-02)
    Dyslexia is a learning disability which makes the individuals unable to develop the age appropriate and ability appropriate reading and writing skills often negatively affecting both their academic achievements and ...
  • Blockchain against Power Theft: An Architecture 
    Khalid, Sana; Supervised by Dr. Ayesha Maqbool. (MCS, 2019-09)
    Energy plays a very significant role for economic growth of any country. Defensible economic growth entails the ample and continual accessibility of energy. Pakistan is facing energy diffidence which is solemnly hampering ...
  • Super-Resolution of single image using wavelets and interpolation based hybrid technique 
    Sarwar, Tabinda; Supervised By Dr. Fahim Arif (MCS, 2014-03)
    Super-resolution is a technique of producing a high-resolution (HR) image from one or more low-resolution (LR) images. Classical interpolation based magnification techniques like nearest-neighbor, bilinear and bicubic ...
  • Restricting Unauthorized use of Facebook 
    Kanwal, Maria; Supervised by Dr. Seemab Latif (MCS, 2015-11)
    Facebook is one of the popular social networking sites among people. It was founded in Feb 2004 by Harvard sophomore Mark Zuckerberg. Initially it was only used by Harvard students, but then it was expanded and now everyone ...
  • Usability Evaluation and Interface Design of Mobile Educational/ Learning Applications for Children 
    Tahir, Rabail; supervised by Dr. Fahim Arif (MCS, 2015-01)
    Mobile technology is increasingly recognized as an integral learning tool for even children. According to many experts, introducing children to mobile technology at a young age provide them with a solid foundation they ...
  • A Framework for Predicting Optimal Tuning Parameters for GPU Compute Kernels using Machine Learning 
    Mahmood, Khawir; Supervised by Dr. Hammad Afzal. (2019-09)
    Finding optimal tuning parameters for Graphics Processing Unit (GPU) Compute Kernels is typically undertaken as an optimization problem solved through search techniques. Due to the unknown nature of the optimization surface, ...
  • An Improved pyramid and sampling based image matting technique 
    Amin, Benish; Supervised by Dr. Naima Iltaf (MCS, 2015-11)
    Image/video matting aims to extract the foreground object from the image. It is widely used technique in various applications like video and image editing that needs background replacement and to distinguish foreground ...
  • Enhanced Visual Environment for Young Dyslexic Readers 
    Altaf, Amna; supervised by Dr. Seemab Latif (MCS, 2015-01)
    Dyslexia is defined as a neurological reading disability characterized by difficulties with word recognition, poor decoding abilities and poor spellings. Dyslexia is a learning disability which initially shows itself by ...
  • Integrated requirement prioritization model for open source software 
    Rahman, Ataur; Supervised by Dr. Arif Raza (MCS, 2013-09)
    Requirements elicitation is a process of understanding, finding, extracting, evolving and discovering needs of stakeholders. One of the important requirements elicitation activities is requirements prioritization. To develop ...
  • Robust Cell Image Analysis Techniques 
    Sukhia, Komal Nain; Supervised by Dr. Naima Iltaf (MCS, 2015-08)
    White blood cells (leukocytes) play an important role in the diagnosis of different diseases. The automatic detection of white blood cells is an unsolved issue in the field of medical imaging. Researchers from the fields ...
  • Deep Fusion Approach Towards Kinship 
    Jahangir, Tayyaba; Supervised by Dr. Hammad Afzal. (MCS, 2019-10)
    Living in the modern age of technology where there are high slogans of face analytics, data mining, social media analysis, Kinship verification finds its way from the automatic tagging of pictures,videos to the ...
  • Identification of SPAM Emails Using Fuzzy Logic Based Categorization for an Intelligent Email Response System 
    Hanif, Najma; Supervised by Dr. Muhammad Mukaram Khan. (MCS, 2019-07)
    Email is the simplest and most consistent way of communication. Emails are used for fast and reliable communication at both personal and organizational levels, including academic institutions. Some organizations have ...
  • Eulerian Video Magnification 
    Farooq, Maemoona; Supervised by Dr. Abdul Ghafoor. (MCS, 2015-03)
    There are certain changes in this world which fall below the visible spectrum of human beings, thus cannot be perceived with the naked eye. These subtle changes may contain useful information. Our goal is to magnify these ...
  • Co-Clustering Based Hybrid Collaborative Filtering Model 
    Aamana; Supervised by Dr. Naima Iltaf. (MCS, 2019-06)
    Recommender systems are intellectual systems of information filtering that makes relevant suggestions for customers. Main purpose by generating relevant information for customers to improve their experience. Recommendations ...
  • Email Classification Using Deep Learning 
    Altaf, Amna; Supervised by Dr. Muhammad Mukaram Khan. (MCS, 2019-08)
    With the advent of business intelligence and big data, the machines have started sharing the workload of humans in various domains of work. In this study the task of email classification has been addressed through deep ...

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