MS (CS) (BUIC-E-8): Recent submissions

  • 3D Vectorization and Generation using Generative Adversarial Networks 
    Aamir Fayyaz, 01-243172-001 (Computer Sciences BUIC, 2019)
    Generating and understanding the 3D shape of objects in the world is a crucial step for many areas of robotics. Across object categories, shapes are used for classification. Within each category, fine shape details and ...
  • Emotional State Prediction through Handwriting Analysis 
    Hafiza Ghazal Shahid, 01-243172-048 (Computer Sciences BUIC, 2019)
    Negative Emotions can cause serious health issues and detection of them through daily activities is good for wellbeing .Handwriting and drawings are the activities which requires no specific devices only pen and paper is ...
  • Handwriting Recognition for Cursive Scripts: A Case Study on Urdu Text 
    Shahbas Hassan, 01-243172-029 (Computer Sciences BUIC, 2019)
    Recognition of cursive handwritten text is a complex problem due challenges like context-sensitive character shapes, non-uniform inter and intra word spacings, complex positioning of dots and diacritics and very low ...
  • Image Based Plant Disease Detection- A deep Learning Approach 
    Sikandar Hayat, 01-243172-049 (Computer Sciences BUIC, 2019)
    Identification of plant disease is beneficial not to protect plants from diseases but also to increase the budgetary advancement of a country. The study of plant disease identification means the study of visually pattern ...
  • Identification of Author - Based on semantics and syntactic features 
    Muhammad Hassan Abbas, 01-243172-019 (Computer Sciences BUIC, 2019)
    Author identification is now a big research area from the last one decade. Author identification is figuring out the author of any given text, paragraph or big novels etc. Basic concern of it is to show the real author of ...
  • Distracted Driver Detection Using Deep Learning 
    Muhammad Ahsen Taqi Kazmi, 01-243162-021 (Computer Sciences BUIC, 2019)
    Distracted drivers are the main cause of road accidents in today's world. With the technological revolution, there are hundred of gadgets and devices that can gain the attention of a driving person and may cause serious ...
  • Deep conjunct denoising and demosaicking a hybrid approach based on deep adaptive residual learning 
    Asim Wadood, 01-243171-003 (Bahria University Islamabad Campus, 2019)
    In digital photography pipelines, Denoising and Demosaicking are the most essential key stages. In literature, Convolution neural networks-based Image demosaicking methods have exhibited tremendous achievement. Nonetheless, ...
  • Denoising and demosaicking of noisy bayer image using specialized networks 
    Emmad Zahid, 01-243171-037 (Bahria University Islamabad Campus, 2019)
    Demosaicking is the process of recreating a full colored image from incomplete colored image. In digital camera, single sensor is used to make camera cost effective. The single sensor does not capture all colors for single ...
  • Non-small cell cancer detection in lungs based on CT scan images 
    Muhammad Atif Zaman, 01-243162-002 (Bahria University Islamabad Campus, 2019)
    Lung Cancer is chronic disease causing death for human beings in almost all over the world. The identification of disease nature and response to treatment differs widely among patients. Thus it is very important to detect ...
  • Historical manuscript dating using image analysis techniques 
    Anmol Hamid (Bahria University Islamabad Campus, 2019)
    Dating historical manuscripts is a challenging task for historians and paleographers that requires specialized knowledge of scripts and writing styles, writing instruments and types of papers etc. During the last two ...
  • Document forgery detection using printer source identification 
    Maryam Bibi (Bahria University Islamabad Campus, 2019)
    In recent years, identifying source printers has gained immense popularity for forgery detection. Paper employed for agreements and contracts have greater significance and to detect forgery among these papers validates the ...
  • Classification of bone marrow cells for medical diagnosis of acute leukemia 
    Khadija Khan, 01-243162-004 (Bahria University Islamabad Campus, 2019)
    Leukemia is the cancer that starts in the blood cells due to the excess production of immature leucocytes that replace the cells with normal blood cells. Physicians rely on their experience to determine the type and subtype ...
  • Classifying sports news to improve search engine using web ontology language(OWL) 
    Masooma Zahra, 01-243171-010 (Bahria University Islamabad Campus, 2019)
    The amount of information on the internet is growing rapidly and searching relevant content is center of concern nowadays. With the growing demand for relevant search results, it is important to introduce an approach which ...
  • SDN based distributed LISP mapping system for next generation wireless networks 
    Tasneem Aslam, 01-243171-035 (Bahria University Islamabad Campus, 2019)
    Software define networking relies on decoupling of data plane and network plane. Software define Wireless Network defines how networking and computing system can be form using a combination of open software, home engineering ...
  • An ensemble approach for negative link prediction 
    Faima Abbasi, 01-243171-004 (Bahria University Islamabad Campus, 2019)
    Social network analytics is an important research area and attracts a lot of attention from researchers. A social network has graph based topology having vertices V relating to users and edges £ relating to links or ...
  • Glioblastoma tumor detection from MRI 
    Muhammad Khan, 01-243162-008 (Bahria University Islamabad Campus, 2018)
    Brain tumor is a serious life threatening disease. Early diagnosis of disease is very important for treatment. There are more than 120 types of brain tumor. It is very difficult task to classify tumor manually because of ...
  • FPGA Implementation Of Present Cipher With Self-Test Ability 
    Zeeshan Haider, 01-242161-005 (Bahria University Islamabad Campus, 2018)
    Increased complexity of VLSI circuits has led to higher occurrences of faults in Integrated Circuit (IC). Moreover, testing of huge number of devices in loT technology is an important requirement from reliability point of ...
  • Test Suite prioritization Using Q-Learning 
    Muhammad Waqar, 01-243161-015 (Bahria University Islamabad Campus, 2018)
    Regression Testing is the type of software testing which ensures that the modified part of software or code change has not adversely affected existing features or code. Basically, whenever we want to add some new features ...
  • A dynamic online learning Framework using convolutionary Neural networks 
    Maryam Aslam (Bahria University Islamabad Campus, 2018)
    Neural Networks is useful in many applications including supervised and unsupervised learning. For data mining tasks, neural models are not usually used because they mostly give incomprehensible model and requires longer ...
  • Authorship detection model Using descriptive analysis 
    Muliammad Umar Farooq, 01-243161-005 (Bahria University Islamabad Campus, 2018)
    Writing skills are very important for succeeding as a writer. Every writer has specific style and way of communicating his thoughts. This specific way can be reusing specific set of vocabulary again and again, focusing on ...

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