• Glaucoma Screening along with Referral Justification using Large Deep Learning Model 

  Batool, Kanwal (College of Electrical & Mechanical Engineering (CEME), NUST, 2025-02)

  The novel addition of artificial intelligence to the current diagnostic methods is the screening and management of glaucoma. The main diagnostic method uses ophthalmoscopy to assess the optic nerve and tonometry to detect ...
• A Novel Technique to Increase Productivity in Pakistan Software Industry by Enhancing Impact of Software Producers' Cultural and Geographical Distribution 

  Riyasat, Sana (College of Electrical & Mechanical Engineering (CEME), NUST, 2025-01-21)

  Unlike many previous studies, this research explores the complex relationships between cultural factors, community activities, and technical processes in software development across various contexts. The paper systematically ...
• A Model-Driven Framework to Recommend E-prescriptions 

  Ayaz, Mahnoor (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-12-31)

  E-prescription systems are the way of using computing devices to input, amend or review medication prescriptions. These systems are difficult to manage and develop as low-level implementations are carried out separately ...
• KNOWLEDGE-DISTILLATION DRIVEN TRANSFORMER MODEL FOR REPORT GENERATION OF SPINE RADIOGRAPHS 

  Mukhtar, Asmat (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)

  The spine radiographs are important for the identification of various diseases – these include, but are not limited to fractures, tumors, and degenerative diseases affecting the spine. These images assist healthcare ...
• A Model Driven Framework for Ambiguity Detection in SRS 

  Behzad, Momina (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-10-29)

  The ambiguity detection in natural language processing (NLP) is critical to enhance the performance of the requirement based applications. There is lexical ambiguity, which is the complexity arising from confusing part ...
• Python Code Re-use Recommendation Based on Software Requirements Using Natural Language Processing 

  Farooqi, Hareem (2024-09-27)

  Code reuse serves as a critical activity in the software development world as it encourages efficiency and reduces redundancy while resulting in improved quality software products. Nowadays, with a regular change in ...
• Empirical Investigation of Human and Social Factors Influencing the Productivity of Software Development Teams in Pakistan 

  Ali, Fatimah (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)

  Software development stands as the most important pillar of the IT industry, having a significant influence on the progress and betterment of our daily lives. In this context, the productivity of software development ...
• Multi-location Smartphone-based Activities of Daily Life Recognition using Deep Learning Techniques 

  Saeed, Natasha (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-09-02)

  The rapid growth of the elderly population has underscored the importance of accurately recognizing Activities of Daily Living (ADLs) for effective health monitoring and timely interventions, particularly in regions such ...
• Fundamental Research on Automated Approach in Detecting Contradictions in Requirements 

  Maqsood, Muhammad Faizan (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-30)

  Dialectics, in philosophy, and logic, is the art of examining or discussing the truth of assumptions through the opposition of opposite ideas, resulting in the reconciliation of them. The three-stage dialectic process ...
• Optimized K-Medoid: A Comprehensive Approach to Medoid Discovery and Finding Optimal K 

  Chaudhry, Mahnoor (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-28)

  Clustering is an unsupervised learning algorithm used to partition data and has wide application in machine learning and other data studies. This research seeks to address the issue of over-exhaustiveness within K-Medoids ...
• A Novel Approach for Efficient Clustering Using Predefined Clusters and Hierarchical Clustering (PECHC) 

  Mahnoor (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-28)

  Clustering techniques play a pivotal role in data analysis, facilitating the exploration and organization of complex datasets into meaningful groups. This study proposes a novel approach to the predefined clusters and ...
• Untitled 

  (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-20)
• A Hybrid Requirement Elicitation Technique for Android Application 

  Tasleem, Waqas (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-20)

  The challenges of requirement elicitation in Android application development within Pakistani software houses, as identified in our prior study, highlighted the necessity for a more structured approach. This case study ...
• Enhancing End-to-End Communication Security in IoT Devices Using Model Driven Engineering 

  Zahid, Rimsha (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-21)

  The Internet of Things (IoT) has transformed the way software and hardware interact, enabling users to control devices remotely. In environments like smart homes, offices, and industrial setups, diverse sensors generate ...
• Towards the Scalable and Conflict Resilient Software Product Lines in Automotive Embedded Systems 

  Mukhtar, Danish (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-21)

  Software Product Lines (SPLs) revolutionize development by strategically sharing common features while accommodating variations, crucial for adaptability in diverse scenarios. Variability, the software's ability to adjust ...
• Electronic Health Records System Based on Quorum Blockchain 

  Khan, Muzna (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-20)

  This study explores the integration of Quorum blockchain, a permissioned blockchain developed by JPMorgan Chase, as an alternative to the critical challenges faced by the healthcare system in electricity. In the changing ...
• Novel Approach for Handling Class and Attribute Noise in Lines-of-Code 

  Israr, Usama Bin (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08)

  Attribute and class noise is a pervasive issue in software quality interpretation that has caught ample consideration due to its substantial impression on classification algorithms. This study delves into composite ...
• An Unsupervised NLP Approach for Cross-lingual Urdu-English Text Summarization: A Framework 

  Shafiq, Zertashia (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08-06)

  We live in an era where there is linguistic diversity and global interconnectedness. In order to move forward, the ability to bridge language barriers is paramount to facilitate cross-cultural communication. This research ...
• Efficient Deployment of Object Detection Model (YOLO) on NVIDIA Jetson Devices Through Model Quantization 

  Minallah, Haady um (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-07-29)

  This thesis investigates the effective implementation of the YOLO object recognition model on NVIDIA Jetson through the application of model quantization techniques. Specifically, the research focuses on Quantization-Aware ...
• Deceptive Operations in Document Repositories: Manipulating Clustering Outcomes Against Adversaries 

  Abbas, Sayyed Shozib (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-07-24)

  This research investigates the efficacy of replacement and shuffling techniques to enhance the confidentiality and integrity of sensitive information within diverse document types. The study introduces the Deceptive ...

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