MSCS: Recent submissions

  • Development of scene text detection technique 
    Jabeen, Umaira; Supervised by Dr Abdul Ghafoor. (MCS, 2018-07)
    Text is the one of the compelling innovations of the society. It has portrayed an important role in human vivacity since antediluvian times. As the text contains very important semantic information that is used in diverse ...
  • Evaluating and Redesigning of Android Application for Deaf and Dumb to Overcome Existing Usability Heuristics Loopholes 
    Ahmed, Saadia; supervised by Dr. Fahim Arif (MCS, 2015)
    The field of Software engineering has been serving man kind in various ways. The recent transformation of mobile phones into smart-phones is also a blessing of software technology. In Pakistan 7.40 of the disabled population ...
  • Formal Verification of Embedded Systems 
    Ali, Sajjad; Supervised by Dr. Fahim Arif (MCS, 2015-07)
    In this thesis, we address the issue of model-based early design verification of systems engineering applications expressed using System Modeling Language (SysML). This thesis describes the formal specification and ...
  • Communication Aid for Autistic From Pictures to English sentences 
    Ifzal, Saira; supervised by Dr. Seemab Latif) (MCS, 2015-04)
    Over past few years, Natural Language Generation has been receiving a lot of attention from researchers for various applications but English sentence generation for Autistics communications has received minimal attention. ...
  • Feature extraction, feature selection and classification of electroencephalography signals 
    Umbreen, Bukhtawar (MCS, 2017-09)
    Brain‘s electrical activity recorded as Electroencephalography Signals (EEG) opens window to explore brain‘s functioning. EEG is a current focus of the modern research to detect the human‘s perception state, classify brain ...
  • Model free object tracker 
    Ali, Saqib; Supervised by Dr. Abdul Ghafoor. (MCS, 2017-09)
    In recent times, a lot of focus has been diverted to model free object tracking instead of model based. Model free tracking requires no prior model of object of interest. The object is represented by its location and ...
  • Twitter Hashtag Recommendation Using Topic Modeling 
    Abbas, Raja Adil; Supervised by Dr. Naima Iltaf (MCS, 2018-08)
    Twitter is one of those social networking websites which is part of daily routine in the lives of the people around the world. As per the quarter first of 2018 it has more than 336 million active user which is overwhelming ...
  • Transformation of color on different images 
    Masood, Afsheen; Supervised by Dr.Imran Rashid. (MCS, 2017-10)
    Color transfer among images is a challenging problem. Because of color distribution complexity, its difficult to escape from corruptive artifacts in color transfer result. Current advanced methods emphasis mainly on the ...
  • Identifying source printers of documents using image processing & machine learning 
    Malik, Talha Arshad; Supervised by Dr. Hammad Afzal_ (MCS, 2017-08)
    Different types of printed documents are used a lot in our day to day activities. Those documents include financial, legal, identity, currency and other types of sensitive documents. Printing has become very convenient and ...
  • Multi-Exposure Image Fusion 
    Naseem, Saad; Supervised by Dr. Abdul Ghafoor (MCS, 2018-08)
    There is information in scene that normal camera is unable to capture using photography due to presence of under and over exposed regions in scene. Our goal is to capture all the information present in scene even the ...
  • Building Detection from Aerial Images 
    Rashed, Hina; Supervised by Dr. Naveed Iqbal Rao (MCS, 2018-08)
    Automatic building extraction from aerial and satellite imagery is highly challenging due to extremely large variations of building appearances. Moreover, the detection of homes with complex structures patterns from images ...
  • Efficient recommender system for cold start items 
    Anwaar, Fahad; Supervised by Dr Abdul Ghafoor. (MCS, 2017-10)
    Recommender system is a particular type of intelligent system which predicts the rating or preference of an item that a user would like to give. It is based on information filtering process which simply filter out the ...
  • A Predictive classifier for crowd funding success prediction using project attributes 
    Ahmed, Nabeel; Supervised by Dr. Hammad Afzal (MCS, 2017-08)
    It won’t be an overstatement to say that, an internet service has become a commodity, a part and requirement of every household. This omnipresence of the internet has brought about major shifts in our lifelong ways, that ...
  • Requirement Engineering for Security Issues in Cloud Computing 
    Faizan, Fiza Saher; Supervised by Dr. Seemab Latif (MCS, 2018-07)
    The world is tremendously changing with the advancement in technology. In the world of Information Technology (IT), the most famous technology is Cloud Computing. Cloud computing is an architecture for permitting an ...
  • Novel Approach of Reverse Engineering of Object Oriented Code to ALF by 
    Nawaz, Asad; Supervised by Dr. Tauseef Ahmed Rana (MCS, 2018-08)
    In Model Driven Software Engineering (MDSE), Action Language for Foundational UML (ALF) is a new standard for specifying the structure and behavior of a system textually. Our work explores the usability of ALF after doing ...
  • Development of a new multifocus image fusion techniques 
    Anjum, Saiqa; Supervised by Dr Abdul Ghafoor. (MCS, 2017-08)
    A scene to be photographed, usually includes objects at varying distances from camera. Depth-of-field (DOF) of camera is the range of distance, within which object appear to be sharper in the photograph. One way to ...
  • Development of New Quality Metric for Assessment of Decolorization 
    Tanveer, Mohsan; Supervised by Dr. Abdul Ghafoor (MCS, 2018)
    Decolorization also well-known as color2gray image conversion is useful for monotone display and printing of images. Meaningful structure may vanish when a color image is transformed to a gray-scale image. Despite of its ...
  • Development of Lung Disease Classification Technique 
    Khalid, Maida (MCS, 2018)
    Automating medical diagnosis classifying Lung tissues mapping them to their relevant diseases has been a challenging task despite numerous of research been conducted. We have targeted four major lung symptoms, they are ...
  • Efficient coordination in agent based traffic control and management 
    Khan, Hina; Supervised by Dr. Fahim Arif (MCS, 2014-08)
    This paper presents a new multi agent based approach applying computational intelligence concepts to implement a cooperative and well coordinated, Multiagent system for real-time traffic control and management of a complex ...
  • Design and implementation of a framework to aggregate feedbacks about consumer products from social media 
    Astafnas, Mehreen; Supervised by Dr. Hammad Afzal (MCS, 2018-08)
    With the growth in business’s competitive environment, organizations are obliged in tracking consumer’s data so that they can gain success in their business’s aspects. With the advancement in technology of 21st century, a ...

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