Thesis/Dissertation Repository Engineering School Islamabad: Recent submissions

  • ACCEPTANCE LEVEL OF ELECTRIC VEHICLES IN PAKISTAN: CONSUMER’S PERSPECTIVE 
    Muhammad Yousuf, 01-246181-005 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Recourses scarcity and global warming are some of the biggest challenges face by the world. The major focus of invention has been shifted towards an innovative and alternate solution to these resources. One of the major ...
  • DETERMINING IMPACT OF INSTITUTIONAL PRESSURES ON ENERGY SAVING BEHAVIOR OF PAKISTAN’S MANUFACTURING INDUSTRY 
    Hamid Ali, 01-246181-001 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Industrial sector in Pakistan is the second largest consumer of energy. Industries, especially those with huge usage of energy, are reflected as main segment towards energy utilization. In our research, we precisely built ...
  • ANOMALY DETECTION IN VIDEO FOOTAGE OF VTSS USING DEEP LEARNING 
    Sardar Waqar Khan, 01-241172-060 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    From Past few years, the vast numbers of cameras are installed in various public and private areas for security, monitoring abnormal human activities, and traffic. The detection and recognition of abnormal activity in a ...
  • QUESTION GENERATION FROM KNOWLEDGE GRAPH WITH PRESCRIBED DIFFICULTY LEVEL 
    Warda Rizwan, 01-241171-041 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Automatic question generation in Knowledge Graphs (KG) is a novel idea. KG is the graphical representation of knowledge bases where knowledge base is world knowledge. Intelligent Tutoring System (ITS) is a computer program ...
  • Robust Visual Object Tracking 
    Muhammad Faisal Bashir, 01-241172-013 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    It is very easy for humans to recognize the object and to follow it till their sight range, but with the advancement of technology, we want to take this work through machines so that we can get better results according ...
  • A Conceptual Framework for Blockchain Based Land Registry Systems 
    Muhammad Irfan Khalid, 01-241172-038 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Research community in blockchain has been working on development of efficient, secure and reliable decentralized systems. While many centralized systems exist, building an efficient, secure and decentralized system is a ...
  • An Empirical Approach for cost effectiveness of requirements management and critical factors in Agile 
    Mehreen Aftab, 01-241172-007 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Requirements management is an extensive, exhaustive process comprising of many stages within it. Why requirements are so pivotal, it’s because of their crucial worth that is requirements act as a baseline of any project. ...
  • ENERGY CONSUMPTION FORECASTING BY GREY PREDICTION MODELS AND ARTIFICIAL NEURAL NETWORKS IN A GREY SYSTEM: A COMPARATIVE ANALYSIS 
    Faizan Zafar, 01-241172-036 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Forecasting energy consumption for short-term to make better decisions is becoming one of the basic needs for all industries. For this purpose many Machine Learning techniques are being used. More prominent and widely ...
  • A COMPARATIVE ANALYSIS OF DATA AUGMENTATION APPROACHES FOR MRI SCAN IMAGES OF BRAIN TUMOR 
    Muhammad Farhan Safdar, 01-241172-014 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Machine Learning (ML) is a rapidly growing subfield of Artificial Intelligence (AI). It is used for different purposes in our daily life such as face recognition, speech recognition, text translation in different languages, ...
  • ROLE OF SSLA IN USER MIGRATION 
    UBAID BIN ZAFAR, 01-241172-057 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    In this present era, people are socially quite active. Thus, the average usage of Social Networking Services (SNSs) is increasing day by day. As there exist hundreds and thousands of such sites, so it's not uncommon to ...
  • Automatic classification of Cardiac Ischemia through Principle Component Analysis and Artificial Neural Network 
    Ali Haider, 01-241172-048 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Accurate detection of cardiac ischemia is very crucial stage of Electrocardiogram (ECG) for diagnosis and treatment of cardiac arrhythmia. ECG when done manually can take a lot of time if there is a large amount of data ...
  • MULTI SENSOR DATA FUSION 
    Waqar Khalid, 01-241172-032 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    The objective of our research is to design a multi radar data fusion algorithm which accepts the input from multiple disparate radars and fuse them to generate a precise and reliable picture for air traffic controllers. ...
  • A Framework to Detect Hate Speech in the Pashto Language from Social Media 
    Aftab Alam Janisar, 01-241171-002 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    From the last few years, researchers are very much attracted to sentiment analysis and especially towards hate speech detection because in other different languages procreation of hate speech has compelling and symbolic ...
  • TEST CASE MINIMIZATION APPROACH FOR RELIABLE REGRESSION TESTING FOR WEB-BASED SYSTEMS 
    Rubab Sheikh, 01-241172-022 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Software testing is performed to ensure the correct operations of any software application. Different software testing techniques have been presented so far for this purpose. Regression testing is used to ensure the ...
  • Development of an Ontology of C# Language for Intelligent Tutoring Systems 
    Anjum Iqbal, 01-241171-005 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    C# is one of the popular programming languages which is taught in many institutes of computer science and software engineering. The traditional way of teaching and learning C# language in these institutes is a challenging ...
  • ROBOTIC SOFTWARE ARCHITECTURE CHALLENGES, RESEARCH TRENDS AND KNOWLEDGE MANAGEMENT 
    Sana Amin, 01-241172-024 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Robotic software is an arrangement of coded directions and guidelines that tell mechanical device and electronic framework referred, together as a robot, to facilitate and perform different daily life difficult functions. ...
  • Requirements Prioritization Model in Agile Software Development Process: Scrum as Case Scenario 
    Muhammad Sannan Butt, 01-241171-021 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    The following research work is based on requirements prioritization techniques and relationship in context of the modern software development methodologies (Agile, Scrum, Extreme Programming) and precisely how these ...
  • A Novel Approach to Generate Knowledge Graph from Unstructured Text 
    Imran Fida, 01-241171-011 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Intelligent Tutoring System (ITS) is a technology that uses Artificial Intelligence and Machine Learning techniques to provide an adaptive learning environment. ITS records learner’s interactions during the study process ...
  • Safety and Security of Cyber-Physical System: A Security Framework 
    Shahbaz Ali Imran, 01-241171-037 (Software Engineering, Bahria University Engineering School Islamabad, 2019)
    Although, we have seen rapid growth in the study, development and deployment of Cyber-Physical System in past decades. However, security threats are always there and numbers of security threats have also been improved, ...
  • On Fault Localization using Machine Learning Techniques 
    Haad Ali, 01-241181-008 (Software Engineering, Bahria University Engineering School Islamabad, 2020)
    Software fault prediction is helpful in early detection of faults, in reducing testing cost and in improving resulting software quality. Software fault prediction considering extracted data from previously tested ...

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