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MS(SE) (BUES): Recent submissions

  • A Comparative Study Of Embedding-Based Textual Semantic Similarity techniques For Urdu Language 
    Nazish Khursheed, 01-241221-003 (Software Engineering, Bahria University Engineering School Islamabad, 2024)
    Textual Semantic Similarity (TSS) evaluates the degree to which two sentences or short texts are semantically proportional to one another. It plays an increasingly important role in tasks such as machine translation, ...
  • Pattern Recognition and Customer Segmentation Using Feature Analysis on Postpaid Fixed Line Telecom Data 
    Sidra Urooj, 01-241212-012 (Software Engineering, Bahria University Engineering School Islamabad, 2024)
    Businesses today need to know their customers to maintain a competitive margin and run effectively. Customer Segmentation helps companies to understand their customer base such as their behaviors, demographics, and ...
  • Detection Of Thalassemia Using Blood Smear Images: A Machine Learning Approach 
    Muhammad Hammad, 01-241221-012 (Software Engineering, Bahria University Engineering School Islamabad, 2024)
    Thalassemia is one of the most common genetic disorders worldwide, particularly prevalent in populations like Asian countries and African descent. In Pakistan thalassemia trait ranges from 5.0% to 7.0%, indicating the ...
  • Thalassemia Detection Using CBC Report Through Machine Learning 
    Muhammad Rafeh Latif, 01-241221-005 (Software Engineering, Bahria University Engineering School Islamabad, 2024)
    Thalassemia, which is a hereditary blood disorder that impacts millions all over the world, requires early identification of carriers to reduce its prevalence and associated complications. Carriers, even though they often ...
  • Value Cognizant Test Case Prioritization for Regression Testing Using Integration Based Test Data 
    Faiza Asad, 01-241212-017 (Software Engineering, Bahria University Engineering School Islamabad, 2024)
    Test case prioritization (TCP) techniques are beneficial in regression testing tasks as they allow us to find test cases of high priority based on test data and metrics of previous executions. Existing TCP approaches can ...
  • Android Malware Detection Using Dynamic Feature Analysis 
    Sadia Rashid, 01-241211-009 (Software Engineering, Bahria University Engineering School Islamabad, 2024)
    Android is a widely used operating system but with its success, it also faces issues with malware threats. With advanced technology, malware is also becoming complex making it challenging to detect. Android malware detection ...
  • Business Value-based Requirement For Test Case Prioritization Using Reinforcement Learning 
    Zobia Jabeen Akhtar, 01-241212-016 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    Testing is a cost-intensive process whereas regression testing is used to find out if there is a regression in a post-evolution or post-maintenance scenario. It is expensive to run all test cases for regression testing and ...
  • Usability Engineering Framework For Evaluating Education Management Systems 
    Usman Ali, 01-241202-021 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    Software usability is a critical factor in the success and acceptance of software systems. As user expectations shift towards more usable and emotionally satisfactory experiences, evaluating the usability of software systems ...
  • Evaluation Of Usability And User Engagement Factors Preferable For Mobile Games 
    Shabana Shahbaz, 01-241211-010 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    The crucial elements in games are fun, incentive, involvement, and user engagement. Designers should, therefore, always seek out the most effective methods and strategies to maintain players' motivation and passion for the ...
  • Web and Network Vulnerability analysis Using Deep Learning 
    Sania Kanwal, 01-241202-012 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    Web applications and networks are part of everybody's life regarding online business, education, and social networks. Web and Network security is an important research topic to secure the internet against hacking attacks. ...
  • Autism Spectrum Disorder Detection In Early Ages Using Automated Machine Learning 
    Khafsa Ehsan, 01-241211-003 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by a diverse range of symptoms and levels of ability. Detection of ASD at early ages is desirable as it allows for early intervention, which ...
  • Urdu Topic Modeling Using Transformer-Based Attention Networks 
    Sabia Khan, 01-241211-008 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    Urdu, the national language of Pakistan and the one of the most widely spoken languages of the Indian sub-continent, is considered a Low-Resourced Language owing to the lack of digital resources available. There are different ...
  • Predicting Students Performance By Analyzing Their Behavior In E-Learning Systems Through Interaction Pattern Mining 
    Hira Saleem, 01-241202-018 (Software Engineering, Bahria University Engineering School Islamabad, 2023)
    This study focuses on interaction pattern mining within students' learning trajectories and addresses the impact of student interaction patterns on their performance in e-learning courses. Typically, instructors structure ...
  • 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, ...

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