Outputs (70)

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.

Integration of Focused Ultrasound and Dynamic Imaging Control System for Targeted Neuro-modulation (2025)
Journal Article

Background
Transcranial Direct Current Stimulation (tDCS) and Transcranial Magnetic Stimulation (tMS) have received widespread clinical use as techniques within a Non-Invasive Brain Stimulation (NIBS) domain, whose primary focus is modulation of neu... Read More about Integration of Focused Ultrasound and Dynamic Imaging Control System for Targeted Neuro-modulation.

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.

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.

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.

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.