All Outputs (183)

DeepFake Detection: Evaluating the Performance of EfficientNetV2‐B2 on Real vs. Fake Image Classification (2025)
Journal Article

ABSTRACTThe surge in digitally altered images has necessitated advanced solutions for reliable image verification, impacting sectors from media to cybersecurity. This work provides an effective method of real vs. deepfake image distinction through ut... Read More about DeepFake Detection: Evaluating the Performance of EfficientNetV2‐B2 on Real vs. Fake Image Classification.

Understanding Public Perceptions and Behaviours Towards COVID-19 Vaccination: A Multifaceted Analysis (2025)
Presentation / Conference Contribution

The rapid growth of social media platforms has led to an overwhelming influx of unstructured textual data, which provides valuable insights into public sentiment. However, analyzing this data presents significant challenges due to its informal langua... Read More about Understanding Public Perceptions and Behaviours Towards COVID-19 Vaccination: A Multifaceted Analysis.

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.

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.

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.

Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation (2024)
Journal Article

This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies... Read More about Enhancing Drug Discovery and Patient Care through Advanced Analytics with The Power of NLP and Machine Learning in Pharmaceutical Data Interpretation.

A Comparative Study on the Characteristics and Behaviours of Social Media Users in Response to Fake News on X(Twitter) (2024)
Presentation / Conference Contribution

Social media has proven to be a game- changer in providing avenues for individuals from diverse back- grounds to communicate, exchange ideas, and enable friendships and businesses to reach new heights. Despite these profound advantages, it also has i... Read More about A Comparative Study on the Characteristics and Behaviours of Social Media Users in Response to Fake News on X(Twitter).

Improvement of OLSRv2 massage format and message interval to reduce routing overhead in a D2D communication network (2024)
Presentation / Conference Contribution

Optimized Link State Routing Protocol (OLSR) is one of the most famous and widely used proactive routing protocols in Device-to-Device (D2D) communication network. The traditional OLSR and OLSRv2 experience significantly higher routing overhead due t... Read More about Improvement of OLSRv2 massage format and message interval to reduce routing overhead in a D2D communication network.

An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G (2024)
Journal Article
Bunu, S. M., Alani, O. Y., & Saraee, M. (2024). An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G. Future Internet, 16(9), Article 347. https://doi.org/10.3390/fi16090347

Some challenges when implementing the optimized link state routing (OLSR) protocol on real-life devices and simulators are unmanageable: link quality, rapid energy depletion, and high processor loads. The causes of these challenges are link state pro... Read More about An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G.

Optimizing Pandemic Control Strategies: A Deep Reinforcement Learning Approach in Public Health Management (2024)
Thesis

COVID-19, also known as the SARS-CoV-2 coronavirus, has paralysed the world and
forced people to change their lifestyles. Since COVID-19 deaths are increasing daily, the
disease has become a global public health issue. Different countries used diff... Read More about Optimizing Pandemic Control Strategies: A Deep Reinforcement Learning Approach in Public Health Management.

Features in extractive supervised single-document summarization: case of Persian news (2024)
Journal Article
Rezaei, H., Mirhosseini, S. A. M., Shahgholian, A., & Saraee, M. (2024). Features in extractive supervised single-document summarization: case of Persian news. Language Resources and Evaluation, 58(4), 1073-1091. https://doi.org/10.1007/s10579-024-09739-7

Text summarization has been one of the most challenging areas of research in NLP. Much effort has been made to overcome this challenge by using either abstractive or extractive methods. Extractive methods are preferable due to their simplicity compar... Read More about Features in extractive supervised single-document summarization: case of Persian news.

Improving Predictive Process Analytics with Deep Learning and XAI (2024)
Thesis

In this doctoral thesis, we explore the innovative application of the Tab Transformer
architecture in the realm of predictive process mining, marking a significant advancement in
forecasting subsequent events within activity sequences. Utilising th... Read More about Improving Predictive Process Analytics with Deep Learning and XAI.

Real-Time Application Of Deepfake For De-Identification Privacy Preservation And Data Protection (2024)
Thesis

In an era marked by mounting concerns over data privacy and protection, conventional
regulatory measures have proven inadequate against cyber-attacks, complicating data sharing
for research and development. Meanwhile, traditional face de-identifica... Read More about Real-Time Application Of Deepfake For De-Identification Privacy Preservation And Data Protection.

A Decentralised Peer-to-Peer Energy Trading Platform for Residential Homes (2024)
Thesis

To achieve a sustainable and low-carbon energy system, it is necessary to develop novel solutions for the way household energy is consumed. Homes that have solar photovoltaic (PV) systems, electric vehicles (EVs), and microgrids can potentially trans... Read More about A Decentralised Peer-to-Peer Energy Trading Platform for Residential Homes.