Outputs (9)

A novel data-centric AI approach based on sensitivity and correlation analyses for multi-organ plant disease classification (2025)
Journal Article

With advancements in deep learning (DL), most research on classification problems has focused on developing or modifying DL models, known as model-centric artificial intelligence (AI) approaches. However, this approach is time-consuming and overlooks... Read More about A novel data-centric AI approach based on sensitivity and correlation analyses for multi-organ plant disease classification.

An Improved Optimized Link State Routing Protocol for Optimum Quality of Service Device-to Device Routing and Energy Efficiency (2025)
Thesis

The Fifth generation (5G) and Beyond 5G (B5G) cellular network's traffic load is certain to
expand significantly in the near future as a result of its flexibility, high speed, increased
bandwidth, better connectivity and low latency. One such techn... Read More about An Improved Optimized Link State Routing Protocol for Optimum Quality of Service Device-to Device Routing and Energy Efficiency.

Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools (2025)
Book

This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis (CAD). The book explores and highlights the latest advancements, methodologies, applications, and tools in... Read More about Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools.

Gas pipeline defect detection based on improved deep learning approach (2025)
Journal Article
Zhang, T., Ma, C., Liu, Z., ur Rehman, S., Li, Y., & Saraee, M. (2025). Gas pipeline defect detection based on improved deep learning approach. Expert systems with applications, 267, Article 126212. https://doi.org/10.1016/j.eswa.2024.126212

The working conditions of gas pipelines directly impact urban populations and factory operations. However, accurate and rapid detection of gas pipeline defects is challenging. To improve the accuracy of gas pipeline defect detection, we propose an im... Read More about Gas pipeline defect detection based on improved deep learning approach.

A Context-Aware Data Mining Method Recommender for Enhanced Insight Relevance: A Case study Approach (2025)
Thesis

Abstract Classical data mining approach struggle to produce insights that relates to a practical situation being analysed. Determining an appropriate data mining method is resource intensive and more of a trial-and-error strategy. The thesis proposed... Read More about A Context-Aware Data Mining Method Recommender for Enhanced Insight Relevance: A Case study Approach.

Metaverse Innovation Canvas: A Tool for Extended Reality Product/Service Development (2025)
Presentation / Conference Contribution

This study investigated the factors contributing to the failure of augmented reality (AR) and virtual reality (VR) startups in the emerging metaverse landscape. Through an in-depth analysis of 29 failed AR/VR startups from 2016 to 2022, key pitfalls... Read More about Metaverse Innovation Canvas: A Tool for Extended Reality Product/Service Development.

A hybrid fused-KNN based intelligent model to access melanoma disease risk using indoor positioning system (2025)
Journal Article

The Indoor Positioning System (IPS) based technology involves the positioning system using sensors and actuators, where the Global Positioning System (GPS) lacks. The IPS system can be used in buildings, malls, parking lots and several other applicat... Read More about A hybrid fused-KNN based intelligent model to access melanoma disease risk using indoor positioning system.

Enhancing Infrared Small Target Detection: A Saliency-Guided Multi-Task Learning Approach (2025)
Journal Article

Object detection in infrared images poses a considerable challenge due to its small-scale targets, low contrast and poor signal-to-clutter ratio, often resulting in a high false alarm rate. To improve the detection accuracy on infrared small targets,... Read More about Enhancing Infrared Small Target Detection: A Saliency-Guided Multi-Task Learning Approach.

AeroGlan: A Smart and Sustainable Plant Species Estimator For Organic And Localized Air Filtering (2025)
Journal Article

Introduction: Human health is significantly compromised by air pollution, especially by local air quality. The majority of our society spends their lives in a confined geographical location, which if subjected to air pollution can expose them to long... Read More about AeroGlan: A Smart and Sustainable Plant Species Estimator For Organic And Localized Air Filtering.