Thesis/Dissertation Repository Engineering School Islamabad: Recent submissions

  • OPTIMAL COMMUNAL DEMAND RESPONSE PROGRAM USING BATTLE ROYALE OPTIMIZATION ALGORITHM 
    NADEEM KHAN, 01-244191-015 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    Presently, power distribution structure depends on conventional design of power grid and deployment which is not fulfilling the energy requirement of the 21stcentury. As the electrical system is shifting from conventional ...
  • Simulation & Modeling of 3-D Solar Irradiance for Improved EV Performance 
    Muhammad Aleem Uz Zaman, 01-244191-021 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    With the recent development and success of Vehicle integrated photovoltaic (VIPV), the efficiencies and power capacities of EVs (electric vehicles) and PHVs (plugin hybrid vehicles) has extremely improved. Especially VIPV ...
  • HARDWARE IMPLEMENTATION OF CONVOLUTIONAL NEURAL NETWORKS FOR MODULATION CLASSIFICATION 
    ADNAN JANNAT, 01-244191-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    In modern wireless communication, adaptive devices are needed to overcome different challenges. Adding artificial intelligence to these adaptive devices can further increase their capabilities. One of its aspects is that ...
  • PREDICTION OF KPIs RELATED TO CLOs/PLOs 
    FAHAD HASSAN ZAMAN, 01-244192-003 (Electrical Engineering, Bahria University Engineering School Islamabad, 2021)
    Knowledge is one of the key elements through which a provides a familiarity, understanding and awareness of different facts, skills, and entity. Unfortunately, nowdays knowledge institutes are operational just for the ...
  • MODEL PREDICTIVE CONTROL OF BIDIRECTIONAL AC-DC CONVERTER FOR ENERGY STORAGE SYSTEM 
    SOHAIL AZIZ, 01-244201-011 (Electrical Engineering, Bahria University Engineering School Islamabad, 2022)
    In this paper, the Algorithm of Model Predictive Control for controlling bi-directional AC to DC converters and their optimization in Energy Systems is proposed to enhance the efficiency and transfer of power in Energy ...
  • Fake News Detection Using Deep Learning 
    Rafi Ullah Khan, 01-242182-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)
    Classification of fake news content is one of the challenging problems of Natural Language Processing (NLP). In classification of fake news detection, the classes of true and fake news are predefined in which the news ...
  • Image Forgery Detection Using Natural Scene Statistics 
    Ali Ahsan, 01-242182-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2021)
    A copy-move image forgery is the most common type of image tampering. It can be done by copying a part of an image and paste on another part of the same image. Therefore, it can be one of the challenging tasks to find ...
  • MANAGING CYBER THREATS AND VULNERABILITIES OF DATA ON CLOUD: BEST PRACTICES AND MITIGATION STRATEGIES 
    Asma Hafeez, 01-246182-002 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    Cloud computing is coming forth as one of the most efficient, adaptable and fastest internet technologies in the industry. The focus of this paper is to bring to light the best strategies to manage the security threats ...
  • THE IMPACT OF CUSTOMER PERCEPTION WITH REGARDS TO COUNTRY OF ORIGIN ON LOCAL APPLIANCES MANUFACTURING 
    SHANZA KHAN, 01-246182-013 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    Is customer perception based on country of origin effect a threat or an opportunity? This question is examined observing brand factors including brand association, brand loyalty and perceived quality, which contribute ...
  • IMPACT OF DISSOCIATION OF SOFTWARE DEVELOPERS IN PARTICIPATIVE DECISION MAKING (PDM) BY MANAGEMENT ON PRODUCT PERFORMANCE: A STUDY OF PAKISTAN’S SOFTWARE INDUSTRY 
    Sumayya Iftikhar, 01-246191-013 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    Participative decision making (PDM) is one of the most essential factors in context of an organization. It is defined as ‘the art of involvement of employees in decision making to accomplish organizational objectives’. ...
  • IMPACT OF COVID-19 ON SME’S OF PAKISTAN 
    Rabia Naz Ali, 01-246191-010 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    COVID-19 has seriously affected the world's economy and is influencing businesses in ways we cannot comprehend right now. Different companies faced different challenges and recorded unexpected profits and losses. Businesses ...
  • Factors Affecting The Adoption of Solar PV Net Metering System: Case Study IESCO 
    Muhammad Ahmad Iqbal, 01-246182-018 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    Energy crisis in Pakistan is causing power outages that affects the household sector, industrial and commercial sector also the price of electricity is not stable and increases time to time. This energy crisis can be ...
  • Implementing Positive Lean Manufacturing in Automotive Industry: A Case Study 
    Muhammad Sajjad, 01-246192-009 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    In the current competitive economic environment, the survival of industries in the global market can only be possible if production is done with high quality and minimum cost. The human factor is the main component of ...
  • IDENTIFICATION OF THE MOST INFLUENTIAL ORGANIZATIONAL FACTORS PROMOTING GLASS CEILING PRACTICES IN IT SECTOR OF PAKISTAN – A CASE STUDY OF FEDERAL ORGANIZATIONS 
    Samia Aslam, 01-246192-013 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    The glass ceiling is an invisible barrier that does not let female engineers to attain positions at executives’ level despite of their knowledge, skills and expertise. It is badly affecting the career progression of female ...
  • CONTRACT ENABLED TESTING OF MICROSERVICES 
    Asma Farooq, 01-241192-003 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    A Microservice is an architectural style of developing an application consists of independent single-function modules with distinct interfaces and functionalities. These independent modules are deployed on different ...
  • FAULT LOCALIZATION OF CLASS USING DEEP LEARNING TECHNIQUES 
    Huzaifa Ahmed, 01-241191-007 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    The fault identification or prediction of faulty program’s essential but expensive process to maintain the quality and reliability of the software. Deep learning based fault prediction has been intensively studied recently ...
  • FAULT MODEL BASED TESTING APPROACH FOR WEB SYSTEMS USING COMPOSITE FINITE STATE MACHINES 
    Urooj Sajjad, 01-241192-015 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    Testing is an important part of any development mechanism to analyze and ensure the quality and reliability of software[1]. The safety of web systems is a major challenge because of their complexity and rapidly changing ...
  • USABILITY EVALUATION FRAMEWORK FOR MOBILE GAMES FOR LDERLY PEOPLE 
    Muqadas Kalsoom, 01-241192-019 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    The success of mobile game is measured based on the experiences of its players. Usability of mobile games is of great importance because their success depends on the principles of usability. The criteria for judging the ...
  • MULTICLASS IMBALANCED CLASSIFICATION OF QURANIC VERSES USING DEEP LEARNING APPROACH 
    AQSA NOOR, 01-241191-003 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    Quran is the sacred book of Muslims and a source of guidance for them. It discusses topics related to religion and worldly affairs by which Quranic verses can be categorized. Some topics in the Quran have been talked ...
  • A Hybrid Approach for Classification and Feature Extraction Using Machine Learning Techniques 
    Asim Alvi, 01-241182-057 (Software Engineering, Bahria University Engineering School Islamabad, 2021)
    Artificial intelligence (AI) solutions are used to help make choices that include a high precision of choices they recommend and a deep understanding of choices so that the chiefs can trust them. Verifiable, non-emblematic ...

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