MS: Recent submissions

  • asad 
    Tariq, Ayesha (, 2021)
  • Unreal and Counterfeit News Prediction Using Machine Learning 
    Rehman, Asad Ur (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Fake news prediction is still a challenging problem. Fake news becomes a very important issue and latest research topic in 2016, this topic becomes more and more important especially after the US presidential election ...
  • Efficient Contact Tracing for Pandemic Using Blockchain 
    Bari, Nida (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Blockchain technologies have been benefiting many industries by being decentralized, secure and confidential. They offer great potential in pandemic impacted scenarios as well. Contact tracing helps to mitigate the ...
  • Phishing email detection using learning vector quantization 
    Mumtaz, Aqsa (College of Electrical & Mechanical Engineering (CEME), NUST, 2020)
    Phishing attack is defined as the attempt to get valuable information such as password, credit card information by gaining the trust of the users in electronic communication. Phishing detection system could possibly protect ...
  • Detection and Diagnosis of Psychological Disorders through Decision Rule Set Formation 
    Umar, Anila (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Mental illness has long term influences on people’s relationships, health, education and profession. According to WHO, psychological disorders are continuously growing its burden for the past few years throwing serious ...
  • Automated Integration of Heterogenous databases 
    Safdar, Mamoona (College of Electrical & Mechanical Engineering (CEME), NUST, 2020)
    In integration of heterogeneous databases, data integrate from different sources. It is very challenging task because data model and representation of data varies in different relational databases. It will be more ...
  • Classification of Cassava leaf Diseases Using Deep Neural Networks 
    Maryum, Alina (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    In recent years, deep learning has gained much popularity over traditional machine learning techniques in terms of accuracy and precision when trained on substantial amount of data. In this research, a state-of-the-art ...
  • Deep Learning Based Automatic Target Detection and Localization in Thermal Infrared Imagery 
    Safdar, Aon (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    Automatic Target Detection (ATD) and Recognition (ATR) from Thermal Infrared (TI) imagery in defense and surveillance domain is a challenging computer vision (CV) task in comparison to commercial autonomous vehicle ...
  • An Automated Anti-Cheat Framework for Online Exams in Pakistan 
    Fatima, Taskeen (College of Electrical & Mechanical Engineering (CEME).NUST, 2022)
    In the past few decades E-learning in higher education is increased and play vital role in pandemic like COVID-19. Particularly, online examinations are conducted on e-learning platforms that leads to save time and other ...
  • A Model-Driven Framework for Design and Analysis of Fog Based e-Health System 
    Anjum, Rubia (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    The ehealth intervention is being used on a daily basis as the increase in the disease data such as diabetes, heart disease, lungs, neurological disorders, malignancies, and others. As a result, the volume of patient ...
  • An Automated Questions Bank Generation and Assessment Framework for Post Graduate Software 
    Gull, Nayab (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    The evolution in E-Learning technologies establishes the significance of automation in students’assessment process. Particularly, researchers and practitioners are devising newmethodstoautomatically perform students’ ...
  • A Model-Driven Framework for Embedded Systems Design Verification through Portable Test & Stimulus Standard (PSS) 
    Minhas, Muhammad Asim (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    System on Chip (SOC) verification starts when each component/subsystem of the SOC is unit tested separately. These unit-level tests may be written using different languages/platforms. When these components are integrated ...
  • An Intelligent Framework for effective Sentimental Analysis in Urdu Language 
    Masood, Maria (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    In recent times, Sentiment analysis has become a significant means for framing a successful business and can be very helpful in predicting customer trends to help organizations in their decision-making process. Though ...
  • Automatic Detection and Classification of Scoliosis From Spine X-Rays Using Transfer Learning 
    Amin, Arslan (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    In the last few years, the data is increasing in healthcare day by day. A manual system cannot reach to handle this big amount of data. An AI approach is organized to detect different features of medical data with an ...
  • Automatically Categorizing Software Technologies 
    Khan, Suleman (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    The following research aims to create an automatic detection of programing language. Taking source codes of a programing language as an input and giving output the names of the programming languages of the respective ...
  • A Novel Task Description Granularity Variation Technique to Improve Software Quality in Agile Software Development 
    Rehman, Ammar Ur (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    Ever since the first bug was detected in the year 1947, there have been millions of bugs to date causing the loss of millions of dollars. Sometimes a single bug can cause a loss of millions of dollars as in the case of ...
  • Establishing test-to-code traceability links using dynamic and static techniques for C# Applications 
    Saleem, Mudassar (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    With the fast-paced development such as DevOps and other agile development methodologies, the code is rapidly changing with the incoming requirements and it is really hard to maintain the quality of a software. Unit tests ...
  • Software Requirement Prioritization using Artificial Bee Colony Algorithm 
    Noor, Ayet E (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    Requirement Prioritization plays an important role in the software development. To achieve effective outcome, a variety of techniques have been employed to prioritize software requirements. There are two disagreeing ...
  • Children’s Spontaneous Facial Expression Recognition Using Deep Learning Methods 
    Laraib, Unqua (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    For a child to incorporate himself into the society as a productive individual, it is vital that his emotional development is sound. In recent years, the emergence of several real-world applications has shifted the focus ...
  • Educational Conversational Solution Using Contact Center AI 
    Ali, Muhammad Shahroze (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    Deep Learning-based chatbot systems have seen increased adaption in the educational domain in recent years owing to increased sophistication in the Artificial Intelligence (AI) domain. However, most communication between ...

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