Explanipedia

A Novel Fragmentation-based Approach for Accurate Segmentation of Small-sized Brain Tumors in MRI Images Open

Mohd Anjum, Sana Shahab, Shabir Ahmad, Taeg Keun Whangbo · 2025

Aims: In the dynamic landscape of healthcare, integrating Artificial Intelligence paradigms has become essential for sophisticated brain image analysis, especially in tumor detection. This research addresses the need for heightened learnin…

A Comprehensive Survey on Multi‐Facet Fog‐Computing Resource Management Techniques, Trends, Applications and Future Directions Open

Salman Khan, Ibrar Ali Shah, Shabir Ahmad, Javed Ali Khan, Muhammad Shahid Anwar , et al. · 2025

Due to the recent advancements in high‐speed networks, underlying hardware computing resources and resource scheduling algorithms, Cloud computing has emerged as a popular computing paradigm globally providing end‐user services such as inf…

Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review Open

Faisal Ahmed Khan, Ibrar Ali Shah, Sadaqat Jan, Shabir Ahmad, Taeg Keun Whangbo · 2025

This systematic literature review analyzes machine learning (ML)-based techniques for resource management in fog computing. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, this paper focu…

A Comprehensive Survey on Real-Time Image Super-Resolution for IoT and Delay-Sensitive Applications Open

M. J. Aashik Rasool, Shabir Ahmad, Sevara Mardieva, Sumaiya Akter, Taeg Keun Whangbo · 2024

In contemporary computer vision, deep learning-based real-time single image super-resolution approaches have gained significant attention for their ability to enhance the resolution of images in real time. These approaches are interconnect…

Effectiveness of Ultrasound-Guided Regional Anaesthesia in Paediatric Patients Undergoing Urological Surgeries: A Systematic Review Open

Shabir Ahmad, Hanan Elzeblawy Hassan, Saba Akram, S. M. A. Zaidi, Aftab Ahmed , et al. · 2024

Recent research in anatomy and ultrasound has highlighted the importance of a technique named ultrasound-guided regional anaesthesia in pediatric anaesthesia, due to its approach to enhancing nerve visualization and targeted nerve blockade…

Impact of Deep Diaphragmatic Breathing with Virtual Reality on Blood Pressure in Patient with Hypertension: A mini Review Open

M. Younan, Ahmed M. Ahmed, Shabir Ahmad, Heba Ali Abdel Ghaffer · 2024

Virtual Reality (VR) offers a promising drug-free approach to relaxation for people with psychiatric issues. Studies show VR relaxation not only helps manage stress but also promotes positive emotions and decreases blood pressure. Compared…

Swarm Learning Empowered Federated Deep Learning for Seamless Smartphone-Based Activity Recognition Open

Harun Jamil, Jian Yang, Faisal Jamil, Shabir Ahmad · 2024

In the landscape of smartphone-based human activity recognition (S-HAR), adopting Federated Deep Learning (FDL) introduces challenges, notably in communication inefficiencies and data confidentiality. These issues stem from the requisite s…

Aggregated Pattern Classification Method for improving neural disorder stage detection Open

Mohd Anjum, Sana Shahab, Shabir Ahmad, Sami Dhahbi, Taeg Keun Whangbo · 2024

Background Neurological disorders pose a significant health challenge, and their early detection is critical for effective treatment planning and prognosis. Traditional classification of neural disorders based on causes, symptoms, developm…

KONet: Toward a Weighted Ensemble Learning Model for Knee Osteoporosis Classification Open

M. J. Aashik Rasool, Shabir Ahmad, Sabina Umirzakova, Taeg Keun Whangbo · 2024

Knee osteoporosis (KOP) is a skeletal disorder characterized by bone tissue degradation and low bone density, leading to a high risk of bone fractures in the knee area. The traditional method for identifying knee osteoporosis is knee radio…

Pixelcraftsr: Pixel-Level Lightweight Single Image Super-Resolution with Multi-Agent Reinforcement Learning Approach Open

M. J. Aashik Rasool, Shabir Ahmad, S. M. A. Sharif, Sevara Mardieva, Taeg Keun Whangbo · 2024

Gamified approach towards optimizing supplier selection through Pythagorean Fuzzy soft-max aggregation operators for healthcare applications Open

Sana Shahab, Mohd Anjum, Ashit Kumar Dutta, Shabir Ahmad · 2024

The soft-max function, a well-known extension of the logistic function, has been extensively utilized in numerous stochastic classification methodologies, such as linear differential analysis, soft-max extrapolation, naive Bayes detectors,…

Lightweight image super-resolution for IoT devices using deep residual feature distillation network Open

Sevara Mardieva, Shabir Ahmad, Sabina Umirzakova, M. J. Aashik Rasool, Taeg Keun Whangbo · 2023

The 5th industrial revolution is characterized by an extensive interconnection of embedded devices, which offer a range of services, including the monitoring of their environments. Images captured from remote cameras require enhancements f…

Enhancing the Super-Resolution of Medical Images: Introducing the Deep Residual Feature Distillation Channel Attention Network for Optimized Performance and Efficiency Open

Sabina Umirzakova, Sevara Mardieva, Shakhnoza Muksimova, Shabir Ahmad, Taeg Keun Whangbo · 2023

In the advancement of medical image super-resolution (SR), the Deep Residual Feature Distillation Channel Attention Network (DRFDCAN) marks a significant step forward. This work presents DRFDCAN, a model that innovates traditional SR appro…

STATISTICAL ANALYSIS OF MALARIAL PARASITES IN HUMAN POPULATION OF DISTRICT MARDAN KHYBER-PAKHTUNKHWA PAKISTAN. Open

Fazl Ur Rahman, Muhammad Fawad, Inayat Ullah, Farhat Sunny, Shabir Ahmad , et al. · 2023

A mosquito serves as the illness's primary vector, and the genus Plasmodium's intracellular protozoan parasites invade red blood cells to generate the systemic vector-borne disease known as malaria. Due to its potential for fast progressio…

Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy Open

Sabina Umirzakova, Shabir Ahmad, Sevara Mardieva, Shakhnoza Muksimova, Taeg Keun Whangbo · 2023

Strong efforts have been undertaken to enhance the diagnosis and identification of diseases that cause facial paralysis, such as Bell's palsy and stroke, because of their detrimental social effects. Stroke is one of the most serious and po…

Education 5.0: Requirements, Enabling Technologies, and Future Directions Open

Shabir Ahmad, Sabina Umirzakova, Ghulam Mujtaba, Muhammad Amin, Taeg Keun Whangbo · 2023

We are currently in a post-pandemic era in which life has shifted to a digital world. This has affected many aspects of life, including education and learning. Education 5.0 refers to the fifth industrial revolution in education by leverag…

Preventing overloaded dissemination in healthcare applications using NonDelay tolerant dissemination technique Open

Mohd Anjum, Sana Shahab, Taeg Keun Whangbo, Shabir Ahmad · 2023

Wearable Sensors (WSs) are widely used in healthcare applications to monitor patient health. During the data transmission, dissemination requires additional time to transmit the details with minimum computation difficulties. The existing t…

An Efficient Optimization Technique for Training Deep Neural Networks Open

Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo · 2023

Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has p…

Deep learned vectors’ formation using auto-correlation, scaling, and derivations with CNN for complex and huge image retrieval Open

Ahmad Naeem, Tayyaba Anees, Khawaja Tehseen Ahmed, Rizwan Ali Naqvi, Shabir Ahmad , et al. · 2022

Deep learning for image retrieval has been used in this era, but image retrieval with the highest accuracy is the biggest challenge, which still lacks auto-correlation for feature extraction and description. In this paper, a novel deep lea…

AI-Enabled Cybernetic Analytics of Security Models for Smart Serious Games-Based Mobile Operating Systems Open

Abid Ali, Faisal Jamil, Taeg Keun Whangbo, Shabir Ahmad · 2022

Smart serious games are games which are primarily designed for a serious job such as education and training rather than entertainment. Mobile Phones are an essential enabler of smart serious games. Over the past few years, there has been a…

Architecting Intelligent Smart Serious Games for Healthcare Applications: A Technical Perspective Open

Shabir Ahmad, Faisal Mehmood, Faheem Khan, Taeg Keun Whangbo · 2022

The immune system of human beings plays a pivotal role in guarding against different types of diseases. During the COVID-19 pandemic, people with weak immune systems were more likely to die. Regular physical activities and healthy food int…

An IoT-Enabled Information System for Smart Navigation in Museums Open

Muhammad Nawaz Khan, Haseeb Ur Rahman, Mohammad Faisal, Faheem Khan, Shabir Ahmad · 2021

The Internet of Things (IoT) is a new paradigm that connects objects to provide seamless communication and contextual information to anyone, anywhere, at any time (AAA). These Internet-of-Things-enabled automated objects interact with visi…

An Efficient and Reliable Algorithm for Wireless Sensor Network Open

Faheem Khan, Shabir Ahmad, Hüseyin Gürüler, Gürcan Çetin, Taeg Keun Whangbo , et al. · 2021

In wireless sensor networks (WSN), flooding increases the reliability in terms of successful transmission of a packet with higher overhead. The flooding consumes the resources of the network quickly, especially in sensor networks, mobile a…

Performance Evaluation of Topological Infrastructure in Internet-of-Things-Enabled Serious Games Open

Shabir Ahmad, Faheem Khan, Taeg Keun Whangbo · 2021

Serious games have recently enticed many researchers due to their wide range of capabilities. A serious game is a mean of gaming for a serious job such as healthcare, education, and entertainment purposes. With the advancement in the Inter…

Hybrid Renewable Energy Resources Management for Optimal Energy Operation in Nano-Grid Open

Faiza Qayyum, Faisal Jamil, Shabir Ahmad, Do‐Hyeun Kim · 2021

Renewable energy resources are deemed a potential energy production source due to their cost efficiency and harmless reaction to the environment, unlike non-renewable energy resources. However, they often fail to meet energy requirements i…

Blockchain-Based Authentication in Internet of Vehicles: A Survey Open

Sohail Abbas, Manar Abu Talib, Afaf Ahmed, Faheem Khan, Shabir Ahmad , et al. · 2021

Internet of Vehicles (IoV) has emerged as an advancement over the traditional Vehicular Ad-hoc Networks (VANETs) towards achieving a more efficient intelligent transportation system that is capable of providing various intelligent services…

Denoising Letter Images from Scanned Invoices Using Stacked Autoencoders Open

Muhammad Ibrahim, Muhammad Hanif, Shabir Ahmad, Faisal Jamil, Tayyaba Sehar , et al. · 2021

Invoice document digitization is crucial for efficient management in industries. The scanned invoice image is often noisy due to various reasons. This affects the OCR (optical character recognition) detection accuracy. In this paper, lette…

SDN Based DDos Mitigating Approach Using Traffic Entropy for IoT Network Open

Muhammad Ibrahim, Muḥammad Ḥanīf, Shabir Ahmad, Faisal Jamil, Tayyaba Sehar , et al. · 2021

The Internet of Things (IoT) has been widely adopted in various domains including smart cities, healthcare, smart factories, etc. In the last few years, the fitness industry has been reshaped by the introduction of smart fitness solutions …

Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking Open

Shabir Ahmad, Faisal Jamil, Abid Ali, Ehtisham Khan, Muhammad Ibrahim , et al. · 2021

The concept of Software-Defined Networking (SDN) evolves to overcome the drawbacks of the traditional networks with Internet Protocol (I.P.) packets sending and packets handling. The SDN structure is one of the critical advantages of effic…

A Scheduling Mechanism Based on Optimization Using IoT-Tasks Orchestration for Efficient Patient Health Monitoring Open

Naeem Iqbal, Imran Imran, Shabir Ahmad, Rashid Ahmad, Do‐Hyeun Kim · 2021

Over the past years, numerous Internet of Things (IoT)-based healthcare systems have been developed to monitor patient health conditions, but these traditional systems do not adapt to constraints imposed by revolutionized IoT technology. I…

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