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All Outputs (80)

GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis (2025)
Journal Article

Alzheimer's disease (AD) is commonly defined by a progressive decline in cognitive functions and memory. Early detection is crucial to mitigate the devastating impacts of AD, which can significantly impair a person's quality of life. Traditional meth... Read More about GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis.

A Novel Ensemble Empirical Decomposition and Time–Frequency Analysis Approach for Vibroarthrographic Signal Processing (2025)
Journal Article

Purpose
Person-centred physiotherapy in Intensive Care Units (ICU) supports patients’ early rehabilitation. Yet little is known about the activity required to enable person-centred physiotherapy in this setting. This study explores the experiences a... Read More about A Novel Ensemble Empirical Decomposition and Time–Frequency Analysis Approach for Vibroarthrographic Signal Processing.

Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM (2025)
Journal Article

Background: Brain tumor categorization on MRI is a challenging but crucial task in medical imaging, requiring high resilience and accuracy for effective diagnostic applications. This study describe a unique multimodal scheme combining the capabilitie... Read More about Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM.

A Web 3.0 Integrated Blockchain Enabled Access System Augmented by Meta-Heuristic Cognitive Learning Framework for Mitigating Threats in IoT Enabled Consumer Electronic Devices (2025)
Journal Article

Consumer Electronic Devices have become an open network model because of the infusion of the Internet of Things (IoT) and other communication technologies such as 5G/6G. Though these devices have provided the high-end sophistication even to common pe... Read More about A Web 3.0 Integrated Blockchain Enabled Access System Augmented by Meta-Heuristic Cognitive Learning Framework for Mitigating Threats in IoT Enabled Consumer Electronic Devices.

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.

Empowering Consumer Healthcare Through Sensor-Rich Devices using Federated Learning for Secure Resource Recommendation (2025)
Journal Article

When implementing zero-trust edge computing, offloading computational tasks and data access through traditional model training and usage approaches can lead to increased latency. Since the traditional methods often involve extensive communication wit... Read More about Empowering Consumer Healthcare Through Sensor-Rich Devices using Federated Learning for Secure Resource Recommendation.

Machine learning-driven intelligent water quality assessment for enhanced drinking safety and real-time consumer awareness (2025)
Journal Article

As to the sphere of smart water management and managing water Internet of Things (IoT) systems, water condition safety for drinking is very important. The proposed methodology, known as the Smart Water Consumption Monitoring System (SWCMS), is based... Read More about Machine learning-driven intelligent water quality assessment for enhanced drinking safety and real-time consumer awareness.

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.

Improved Alzheimer's Detection with a Modified Multi-Focus Attention Mechanism using Computational Techniques (2024)
Journal Article

Alzheimer disease is a common type of dementia which shrinks the brain cells and eventually causes death. It disturbs the life quality of patients with progressive symptoms such as memory loss, conversation, etc. It is vital to identify the disease e... Read More about Improved Alzheimer's Detection with a Modified Multi-Focus Attention Mechanism using Computational Techniques.

Federated Learning Framework for Consumer IoMT-Edge Resource Recommendation Under Telemedicine Services (2024)
Journal Article

Medical IoT devices and Telemedicine computation is the growing domain and further involving biomedical computation via machine learning ecosystem has generated an insightful results and analysis. The resources sharing and availability in computing a... Read More about Federated Learning Framework for Consumer IoMT-Edge Resource Recommendation Under Telemedicine Services.

Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques (2024)
Journal Article

The precise classification of breast ultrasound images into benign, malignant, and normal categories represents a critical challenge in medical diagnostics, exacerbated by subtle interclass variations and the variable quality of clinical imaging. Sta... Read More about Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques.

Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering (2024)
Journal Article
Mughal, F. R., He, J., Das, B., Dharejo, F. A., Zhu, N., Khan, S. B., & Alzahrani, S. (2024). Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering. Scientific Reports, 14, Article 28746. https://doi.org/10.1038/s41598-024-78239-z

In the rapidly growing Internet of Things (IoT) landscape, federated learning (FL) plays a crucial role in enhancing the performance of heterogeneous edge computing environments due to its scalability, robustness, and low energy consumption. However,... Read More about Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering.

Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis. (2024)
Journal Article
Sathya, R., Mahesh, T. R., Bhatia Khan, S., Malibari, A. A., Asiri, F., Rehman, A. U., & Malwi, W. A. (in press). Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis. Frontiers in Medicine, 11, 1487713. https://doi.org/10.3389/fmed.2024.1487713

The classification of brain tumors from medical imaging is pivotal for accurate medical diagnosis but remains challenging due to the intricate morphologies of tumors and the precision required. Existing methodologies, including manual MRI evaluations... Read More about Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis..

Exploring Topic Coherence with PCC-LDA and BERT for Contextual Word Generation (2024)
Journal Article
Rachamadugu, S. K., Pushphavathi, T., Khan, S. B., & Alojail, M. (2024). Exploring Topic Coherence with PCC-LDA and BERT for Contextual Word Generation. IEEE Access, 12, 175252 - 175267. https://doi.org/10.1109/access.2024.3477992

In the field of natural language processing (NLP), topic modeling and word generation are crucial for comprehending and producing texts that resemble human languages. Extracting key phrases is an essential task that aids document summarization, infor... Read More about Exploring Topic Coherence with PCC-LDA and BERT for Contextual Word Generation.

Redefining retinal vessel segmentation: empowering advanced fundus image analysis with the potential of GANs (2024)
Journal Article

Retinal vessel segmentation is a critical task in fundus image analysis, providing essential insights for diagnosing various retinal diseases. In recent years, deep learning (DL) techniques, particularly Generative Adversarial Networks (GANs), have g... Read More about Redefining retinal vessel segmentation: empowering advanced fundus image analysis with the potential of GANs.