MSCS: Recent submissions

  • Research Based Brain Health Application Addressing Dementia In Pakistan 
    Khan, Ayesha; supervised by Dr. Fahim Arif (MCS, 2016-08)
    In today’s world a lot of attention is being channelled towards the betterment of mentally disordered people and it is made sure that the problems they face are brought to the forefront. Dementia is the type of mental ...
  • Embedding part of speech information in word2VEC for text classification 
    Farooq, Rumesa; Supervised By : Dr. Hammad Afzal (MCS, 2019-02)
    In this research, we present a novel approach to enhance Text Classification task using improved word representations that embed linguistic information (i.e. POS Tags). Word2vec is the vector based word representation, can ...
  • Implementation and Usablity Evaluation of Mobile Educzational application for Childern 
    Maqsood, Muhammad Farhan; supervised by Dr. Fahim Arif (MCS, 2016-08)
    Educational applications on mobile devices are very useful for enhancing learning capabilities of children. Learning effectiveness directly depends upon the user interface of these applications. The more usable and attractive ...
  • Video frame interpolation utilizing phase information 
    Sundas; Supervised by Supervised By Dr. Abdul Ghafoor (MCS, 2019-02)
    Videos with low frame rate lacks the visual quality element and unable to meet the standards of new multimedia systems. Our goal is to develop an algorithm which interpolate the intermediate frame between two existing ...
  • Agent Based Information Retrieval In Government Sector Websites Of Pakistan 
    Tahir, Mutahira Naseem; supervised by Dr. Fahim Arif (MCS, 2016-08)
    In this era of information technology, technology becomes an inseparable entity in human lives. The information technology and information and communication technology is diversely affecting the human lives both in positive ...
  • Efficient recommender system using implicit data 
    Ahmad, Suhaj; Supervised by Dr. Naima Iltaf (MCS, 2019-10)
    Recommender systems (RSS) endeavour to determine user preferences and acquire them to anticipate user wants. The main purpose of the systems recommendation is to suggest things that are important for the consumer, for ...
  • Application of genetic algorithm approach on the software reliability growth models 
    Minhas, Samreen; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2019-09)
    Reliability of a software system is the probability to operate without failure for a particular time period under certain environmental conditions. Software Reliability Models are the tools that are used to predict the ...
  • “Software Requirement Engineering”, A New Leave Towards the Silver Bulle 
    Kanwal, Hafiza Tehmina; supervised by Dr. Fahim Arif (MCS, 2016-06)
    The world has been advancing at a very fast and so does the technology. With the advancements of hardware the software industry has also been progressing at an incredible rate nut that still does not mean that the software ...
  • Software Testing Approach for X-Man Component Model 
    Ibrahim, Rozeena; Supervised by Dr. Tauseef Ahmed Rana (MCS, 2019-09)
    Software component is a manageable program units responsible for specific functionality. Complex systems are created by divide and conquer strategy. Component based software development (CBSD) is a software development ...
  • Camera Calibration Using Human Face as a 2D Planar Object 
    Nasir, Mahvish; Supervised By Dr. Naveed Iqbal Rao (MCS, 2016-04)
    Camera Calibration is a central step in computer vision, machine vision and photogrammetry applications that deduce metric knowledge about an object’s size, shape and location from 2D digital images. Therefore it has become ...
  • A Model for entity and relation extraction for biomedical text 
    Aziz, Sartaj; Supervised by Dr. Hammad Afzal (MCS, 2019-08)
    Adverse drugs reaction is potentially risky issue which may lead to illness or death in patients. Adverse Drug Event (ADE) extraction is important problem in biomedical research. Existing work mostly use neural network ...
  • Supervised Topic Modelling in Urdu Language for Domain Lexicon Generation 
    Mehboob, Aziya; Supervised by Dr. Hammad Afzal. (MCS, 2019-05)
    Urdu is the 8th largest spoken language in the world with more than 140 million speakers in subcontinent. It is a national language of Pakistan and an official language of six Indian states. Despite its abundant usage, ...
  • Regression and edge preservation based face image super-resolution 
    ain, Qurat ul; Supervised by Dr. Abdul Ghafoor. (MCS, 2019-08)
    The basic objective of Super Resolution (SR) techniques are to generate a High Resolution (HR) image from one or more Low Resolution (LR) images. Due to its vast applications in real world SR is becoming a very active ...
  • Predicting trust using reputation features 
    Saleem, Farah; Supervised by Dr. Hammad Afzal. (MCS, 2018-01)
    Recommender systems are increasingly being used in e-commerce websites for solving the problem of finding right kind of information. Collaborative filtering is considered as most promising method for recommendation because ...
  • Internet of things reference architecture 
    Karrar, Syed Haider; Supervised by Dr.Imran Rashid. (MCS, 2018-11)
    Internet and web expansion into the physical reality was made possible through various aspects which come under the umbrella of the term widely used nowadays i.e. “Internet-of-Things” explained in simpler terms as situations ...
  • Wide Spectrum iOS Application addressing Autistic Requirement and Usability Issues 
    Khan, Sehrish; supervised by Dr. Fahim Arif (MCS, 2016-03)
    Mentally Challenged people are garnering increasing attention and steps are being undertaken to ensure that their interests are brought into the forefront. Technology can serve to facilitate them as much as any other person. ...
  • Trust management system for the internet of things (IOT) 
    Hamdani, Syed Wasif Abbas; Supervised by Dr. Naima Iltaf. (MCS, 2018-12)
    The Internet of Things comprises of diverse network of homogeneous and heterogeneous objects (Things) that are exchanging data continuously and can be accessed through networks ubiquitously. The IoT nodes consist of limited ...
  • Detecting Semantically Similar Sentences using Deep Learning Techniques 
    Malik, Madiha Yousaf; Supervised by Dr. Hammad Afzal. (MCS, 2019-04)
    In this research, we present a novel approach to enhance Text Classification task using improved word representations that have sentence embeddings. Word2vec is the vector based word representation, can be manipulated ...
  • Image fusion of panchromatic and multispectral images 
    Farnaz, Aneela; Supervised by Dr Abdul Ghafoor. (MCS, 2018-11)
    In computer vision, image fusion is an eminent and orthodox research topic. Fusion of panchromatic image (PAN) and multispectral image (MS) on pixel level results in high resolution MS image as compared to original MS ...
  • Crime forecasting using data mining techniques 
    Malik, Sunia (MCS, 2015)
    Crime affects our society dearly in many different ways. The major challenge faced by Law Enforcement agencies is quickly and efficiently analyzing voluminous amount of data for proper investigation process. To control ...

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