MS: Recent submissions

  • Code Clone Detection in C Language Programs using Supervised Learning 
    Ain, Qurat Ul (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Code cloning refers to the duplication of source code. It occurs as a result of copy paste activity without or with minor modification into another section of code. It is the most common way of reusing source code in ...
  • Using Social Network Analysis to Form Efficient Project Teams 
    Ahmad, Mahreen (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    For the successful software project management and success of a project, many studies have been done but still many of the software projects cannot end up well. Among many critical factors, we have identified “Project ...
  • Using Blockchain for Electronic Health Records 
    Shahnaz, Ayesha (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Blockchain have been an interesting research area for a long time and the benefits it provides have been used by a number of various industries. Similarly, the healthcare sector stands to benefit immensely from the ...
  • A Model-Driven Framework to Generate Data and Presentation Layers’ Scaffolding Code for multiplatform Applications 
    Inayatullah, Mohammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    The use of web and mobile applications is growing very rapidly in the modern era. Due to high end demand of such applications, the software stakeholders want the applications to be available on both mobile and web. In ...
  • A framework to Optimize ORM Data Retrieval using Indexed Search Engines 
    Sultan, Tassaddaq (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Database management Systems (DBMS) are one the most critical component of a software application. Searching data from DBMS is an enormous part in software performance. Text search engines are also used for searching, but ...
  • Improving Social Network Analysis to Enhance the Identification of Influential Nodes 
    Majeed, Sadia (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    In online social networks, social influence plays a vital role. Information in social networks propagates virally, as a consequence of this social networks are used to spread influence for multiple reasons including viral ...
  • Deep Learning to Improve Sentiment Analysis 
    Noureen, Rabia (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    The amount of unstructured data on the internet is increasing with each passing day. People express their opinions on social media, blogs, and forums in different ways. Therefore, the need to process that unstructured ...
  • Performance comparison of different TCP Variants in IP and MPLS Networks 
    Kazmi, Madiha (College of Electrical & Mechanical Engineering (CEME), NUST, 2009)
    This project presents an analysis of the Transmission Control Protocol (TCP) and its different variants on IP and MPLS (Multi-protocol Label Switching) networks. TCP provides a trustworthy end-to-end data transfer under ...
  • Manual Testing Execution Time Estimation 
    Khawar, Muhammad Imran (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    In software development practices of software industry. Testing plays a crucial role in the software development life cycle and it does so by verifying and validating the software’s quality. Since testing is thought to ...
  • Analysis of Design Parameters on the Performance of SC-CP DFE Communication System 
    AHMAD, AQEEL (College of Electrical & Mechanical Engineering (CEME), NUST, 2009)
  • Source Code Plagiarism Detection 
    Ijaz, Farhan (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Source code plagiarism is defined as, an act of stealing/copying whole or a part of someone else’s code and presenting it as one’s own. This issue is mostly seen in academics where students copy their home assignments ...
  • Weight and Cluster based Testcase Prioritization Technique 
    Khalid, Zumar (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    “Software testing has a significant importance to achieve maximum quality to satisfy the customers and concerned stakeholders. A test case is designed to perform set of actions with intend of finding errors and verify ...
  • Image Popularity Prediction (IPP) Over Time Using Machine Learning Techniques 
    Shahid, Amna (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    The destiny of social media images depends upon their popularity: some of the uploaded images/videos get a lot of fame among people while others just get completely unnoticed. Why is this so? This work addresses this ...
  • A Novel Image Steganographic Framework for Efficient Embedding Capacity and Stego Quality 
    Aslam, Muhammad Adnan (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Internet has emerged a major platform to support many activities in our daily life. However, the countless facilities offered by Internet brings numerous challenges thereof. One of the major challenge is regarding security ...
  • Building a Biomedical Onthology on COVID-19 
    Shafique, Sehar (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    The purpose of this thesis research work is to cater the requirements, techniques, and findings of implementing an ontology for the domain of COVID-19. This task is achieved by using a data source named UMLS in order to ...
  • Classification of Cardiac Disorders using PCG Signal Analysis 
    Iqtidar, Khushbakht (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Coronary Artery Diseases (CADs) are a dominant cause of worldwide fatalities. The development of accurate and timely diagnosis routines is imperative to reduce these risks and mortalities. Coronary angiography, an invasive ...
  • A Novel Data Extraction Framework Using Natural Language Processing (DEFNLP) Techniques 
    Hussain, Tayyaba (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Evidence through data is critical if government is to address many threats facing society, including; pandemics, climate change, Alzheimer’s disease, child hunger, increasing food production, maintaining biodiversity, ...
  • Detection of correct placement and presence of tubes on chest x-rays using Efficient Net 
    Abbas, Moneeb (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    In recent years the sudden rise of data in healthcare has gained huge attraction towards artificial intelligence. (AI), Powerful algorithms can detect essential features of medical data and assist doctors with the fast ...
  • Convolutional Neural Network Based Thermal Image Classification 
    Ashfaq, Qirat (College of Electrical & Mechanical Engineering (CEME), NUST, 2020)
    Classification of Thermal Images has been extensively used for its significant applications in many fields. There are many problems with the visible spectrum like object shadows, clothes or the body of human being matches ...
  • Zero Shot Vehicle Re-Identification 
    Nasir, Muhammad Zohaib (College of Electrical & Mechanical Engineering (CEME), NUST, 2020)
    Vehicle re-identification is very useful in intelligent traffic monitoring systems. Its application is not just limited to vehicle monitoring or surveillance but having an efficient vehicle re-identification procedure ...

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