MS: Recent submissions

  • Semantic Segmentation in Human Retinal Images 
    Qurrat-ul-Ain (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Three leading causes of blindness in the world are diabetic retinopathy, glaucoma and macular degeneration. Vision loss due to these diseases can easily be avoided by early diagnosis and treatment. Many systemic and ocular ...
  • Statistical Model Checking of Relief Supply Location and Distribution in Natural Disaster Management 
    Sohaiba Iqbal (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Examining the e cacy of natural disaster management readiness and response activities is challenging due to the randomized behaviors and uncertainties of natural disaster. These uncertainties are captured by stochastic models ...
  • Automated System for Detection of Diabetic Retinopathy and Age Related Macular Degeneration in Retinal Images 
    Muhammad Zubair Afzal (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Computer vision has an extraordinary reputation in medical diagnostic in the current age and it covers a wide range of diseases related to human beings, animals, and what not. The human retina is a vital part of the eye ...
  • Analysis of Cervical X-Ray Images for Vertebra Localization and Segmentation 
    Umair Waqas (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    This study is related to Image segmentation and region selection which plays an important role in the fields of medical imaging, object recognition, and computer vision. We are specifically interested in Vertebra ...
  • Crime Prediction using Data Mining Techniques 
    Ammad Azam Tarar (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    This thesis addresses the problem of predicting crime and crime types. It is a challenging issue to predict crime as criminals do not follow predefined patterns. Criminals are always looking for places where there is less ...
  • Energy- Aware Distributed Simulation for Mobile Platforms: An Empirical Study 
    Fahad Maqbool (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    The rapid increase of the computing power on embedded and handheld de- vices has made these devices attractive for many applications including sim- ulation systems. There are a number of Parallel Discrete Event ...
  • Estimation of Geo-Location of an Image Using Affective Image Classification 
    Muhammad Bilal Khan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Images have always been affecting viewers on an emotional level by portraying so much in a single frame. These emotions have been involved in human decision making. Machines can also be made emotionally intelligent using ...
  • Scene Classifi cation on Large-Scale Places Dataset 
    Mehwish Malik (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    People seamlessly perceive a massive amount of information, regarding the scene while they observe a scene, such as objects, surfaces, objects interaction and many more is in just a few seconds. Also, they can reason ...
  • Gait Based Emotion Recognition Using Inertial Data 
    Muhammad Arslan Hashmi (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Emotion recognition is an active area of research in the domain of human computer interaction. Computers can interact better with humans if they can explicitly understand human emotions. Most of the existing state of ...
  • Action Detection and Annotation in Videos 
    Aneeqa Ejaz (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Action detection has been a hot topic for last many years. Despite the recent advances in computer vision especially deep learning techniques, action detection in realistic videos is still a problem far from being solved. ...
  • A Mobile- Cloud Framework for Context-aware and Mobility-driven Recommender for Smart Markets 
    Muhammad Aftab Khan (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Context and challenges: In recent years, smart city systems have emerged as solutions that transform the conventional cities and societies into information and communication (ICT) driven cities. Smart city systems o er ...
  • Instance-Aware Simplification of Textured 3D Models 
    Sadia Tariq (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Optimization of user generated contents of Virtual Worlds has remained an issue under consideration since the evolution of 3D graphics and such graphical worlds. Numerous approaches have been made in multiple directions ...
  • Decision support system for early detection of Glaucoma in retinal images 
    Muhammad Nauman Zahoor (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Glaucoma is the second leading cause of blindness worldwide. With lack of symptoms, Patients affected with the disease remain completely unaware and by the time they realize it, it is already too late as the damage done ...
  • Auto-Optimization of Business Rules Through Business Process Mining for Improved System Performance 
    Faqeer ur Rehman (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Data mining techniques exist that have the ability to extract useful knowledge from the available event logs. Over the years, there has been a tremendous enhancement in the IT sector. Organizations are moving towards ...
  • An affective classifi cation approach for detecting emotions evoked in static food images 
    Yusra Tahir (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    To make machine emotionally intelligent and to have a ective decision making, emotion is one of the basic human attribute which is used in a ective classi cation . In this research work food images are used to evoke ...
  • Locality aware distributed processes scheduling to improve e ciency using machine learning techniques 
    Saad Zaheer (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Cloud provides a shared computing space on a pay-as-you-go model. Due to this sharing, it is di cult to execute the task e ciently in terms of time. Several factors play its parts such as process scheduling and computing ...
  • A Joint Optimization of End to End Person Re-identification in Visual Surveillance 
    Saadia Batool (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Person re-identification (re-id) deals with matching images of the same person over multiple non-overlapping camera views. It is applicable in searching a specific individual over multiple cameras. Commonly task of re-id ...
  • Prediction of Postpartum Depression Using Machine Learning Techniques 
    Burhan Ud Din Abbasi (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    People post frequent updates on the social media platforms regarding their activities, likes and dislikes that adds the element of uniqueness and per- sonalization to the content. This study explores how data-driven ...
  • A dynamic framework to profile vehicle movements using crowd sourcing 
    Attiq ur Rehman (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Innovation expansion empowers its acceptance in each field of life making it simpler to embrace the most recent headway for social maintainability. The ideas of smart homes/urban communities have been developing for a long ...
  • Gene Filtering and Classification of Microarray data 
    Aneeqa Ali (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Microarrays have been widely used by scientific community to study and analyze the expression of large number of genes simultaneously. The advance of microarray technology provides a huge amount of genomic data which ...

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