Musaed Alhussein
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View article: AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis
AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis Open
Introduction The advent of large language models and their applications have gained significant attention due to their strengths in natural language processing. Methods In this study, ChatGPT and DeepSeek are utilized as AI models to assis…
View article: Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning
Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning Open
Semi-Supervised Partial Label Learning (SPLL) aims to learn from both partial label data where each instance is associated with a candidate label set and unlabeled data. Most SPLL methods work by generating pseudo-candidate labels for unsu…
View article: Intelligent VANET-based traffic signal control system for emergency vehicle prioritization and improved traffic management
Intelligent VANET-based traffic signal control system for emergency vehicle prioritization and improved traffic management Open
View article: Harnessing deep learning to analyze climate change impacts on crop production
Harnessing deep learning to analyze climate change impacts on crop production Open
View article: Optimizing Seminal Quality Prediction Using Machine Learning with Data Preprocessing and Feature Selection
Optimizing Seminal Quality Prediction Using Machine Learning with Data Preprocessing and Feature Selection Open
Due to the increasing prevalence of medical diseases, accurately diagnosing patients has become a significant challenge. Medical data is often raw and unstructured, requiring normalization to convert it into a suitable format for disease p…
View article: Correction to: A Novel Interpretable Graph Convolutional Neural Network for Multimodal Brain Tumor Segmentation
Correction to: A Novel Interpretable Graph Convolutional Neural Network for Multimodal Brain Tumor Segmentation Open
View article: Enhancing Social Media User Engagement Through Personalized Content Classification
Enhancing Social Media User Engagement Through Personalized Content Classification Open
In the fast-evolving world of social media, user engagement is key to platform success. This study presents a novel approach to enhancing engagement through advanced classification algorithms for personalized content delivery, moving beyon…
View article: Corrections to “Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook”
Corrections to “Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook” Open
Presents corrections to the paper, Corrections to “Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook”.
View article: An AI-Enabled Framework for Transparency and Interpretability in Cardiovascular Disease Risk Prediction
An AI-Enabled Framework for Transparency and Interpretability in Cardiovascular Disease Risk Prediction Open
View article: Quantum Inspired Adaptive Resource Management Algorithm for Scalable and Energy Efficient Fog Computing in Internet of Things (IoT)
Quantum Inspired Adaptive Resource Management Algorithm for Scalable and Energy Efficient Fog Computing in Internet of Things (IoT) Open
View article: Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model Open
Diabetic retinopathy (DR) is a severe complication of diabetes that affects the retinal structures and can lead to significant visual impairment or even blindness. Early diagnosis is crucial for reducing and preventing the progression of t…
View article: Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone
Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone Open
The investigation of the flow patterns of a trihybrid nanofluid flow situated in the conical gap that is created among a revolving disc and a stationary cone computationally examined in this study. Three different types of nanoparticles, A…
View article: Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone
Computational Behavior of Trihybrid Casson Nanofluid Blood Flow Occurring Inside the Conical Gap Between the Rotating Disk and the Cone Open
The investigation of the flow patterns of a trihybrid nanofluid flow situated in the conical gap that is created among a revolving disc and a stationary cone computationally examined in this study. Three different types of nanoparticles, A…
View article: A Mobile Deep Learning Classification Model for Diabetic Retinopathy
A Mobile Deep Learning Classification Model for Diabetic Retinopathy Open
The pupil, iris, vitreous, and retina are parts of the eye, where any defect due to physical damage or chronic diseases to these parts of the eye can lead to partial vision loss or complete blindness. Changes in retinal structure due to di…
View article: Dynamic selectout and voting-based federated learning for enhanced medical image analysis
Dynamic selectout and voting-based federated learning for enhanced medical image analysis Open
Federated learning (FL) is a promising technique for training machine learning models on distributed, privacy-aware datasets. Nevertheless, FL faces difficulties with agent/client participation, model performance, and the heterogeneous nat…
View article: Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats
Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats Open
Ransomware is a type of malware that locks access to or encrypts its victim’s files for a ransom to be paid to get back locked or encrypted data. With the invention of obfuscation techniques, it became difficult to detect its new variants.…
View article: A novel deep learning model for predicting marine pollution for sustainable ocean management
A novel deep learning model for predicting marine pollution for sustainable ocean management Open
Climate change has become a major source of concern to the global community. The steady pollution of the environment including our waters is gradually increasing the effects of climate change. The disposal of plastics in the seas alters aq…
View article: NFT Cryptopunk Generation Using Machine Learning Algorithm (DCGAN)
NFT Cryptopunk Generation Using Machine Learning Algorithm (DCGAN) Open
A non-fungible token (NFT) is a kind of digital asset that signifies ownership or proof of authenticity of a special good or piece of material, such as artwork, music, films, or tweets. This study investigates how a deep convolutional gene…
View article: DeepCGAN: early Alzheimer's detection with deep convolutional generative adversarial networks
DeepCGAN: early Alzheimer's detection with deep convolutional generative adversarial networks Open
Introduction Alzheimer's disease (AD) is a neurodegenerative disorder and the most prevailing cause of dementia. AD critically disturbs the daily routine, which usually needs to be detected at its early stage. Unfortunately, AD detection u…
View article: Navigating ambiguity: A novel neutrosophic cubic shapley normalized weighted Bonferroni Mean aggregation operator with application in the investment environment
Navigating ambiguity: A novel neutrosophic cubic shapley normalized weighted Bonferroni Mean aggregation operator with application in the investment environment Open
The Neutrosophic Cubic Shapley Normalized Bonferroni (NC-SNWBM) method represents a cutting-edge approach to decision making theory, combining three distinct mathematical frameworks the neutrosophic cubic sets (NCS), Shapley values, and th…
View article: Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis Open
View article: LMBiS-Net: A lightweight bidirectional skip connection based multipath CNN for retinal blood vessel segmentation
LMBiS-Net: A lightweight bidirectional skip connection based multipath CNN for retinal blood vessel segmentation Open
View article: Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification Open
The classification of medical images is crucial in the biomedical field, and despite attempts to address the issue, significant challenges persist. To effectively categorize medical images, collecting and integrating statistical informatio…
View article: Enhanced cardiovascular disease prediction through self-improved Aquila optimized feature selection in quantum neural network & LSTM model
Enhanced cardiovascular disease prediction through self-improved Aquila optimized feature selection in quantum neural network & LSTM model Open
Introduction Cardiovascular disease (CVD) stands as a pervasive catalyst for illness and mortality on a global scale, underscoring the imperative for sophisticated prediction methodologies within the ambit of healthcare data analysis. The …
View article: Comprehensive techno-economic analysis of a standalone renewable energy system for simultaneous electrical load management and hydrogen generation for Fuel Cell Electric Vehicles
Comprehensive techno-economic analysis of a standalone renewable energy system for simultaneous electrical load management and hydrogen generation for Fuel Cell Electric Vehicles Open
This research conducts a comprehensive analysis of renewable energy systems across five distinct geographic regions, focusing on economic power and hydrogen generation for community-based electrical load and Fuel Cell Electric Vehicles (FC…
View article: Author Correction: Markov chain-based impact analysis of the pandemic Covid-19 outbreak on global primary energy consumption mix
Author Correction: Markov chain-based impact analysis of the pandemic Covid-19 outbreak on global primary energy consumption mix Open
View article: Markov chain-based impact analysis of the pandemic Covid-19 outbreak on global primary energy consumption mix
Markov chain-based impact analysis of the pandemic Covid-19 outbreak on global primary energy consumption mix Open
The historic evolution of global primary energy consumption (GPEC) mix, comprising of fossil (liquid petroleum, gaseous and coal fuels) and non-fossil (nuclear, hydro and other renewables) energy sources while highlighting the impact of th…
View article: Individual household load forecasting using bi-directional LSTM network with time-based embedding
Individual household load forecasting using bi-directional LSTM network with time-based embedding Open
Accurate individual household load forecasting is essential for effectively managing energy demand and promoting efficient energy consumption. This study evaluates the performance of various deep learning models for individual household lo…
View article: Advanced machine learning approach for DoS attack resilience in internet of vehicles security
Advanced machine learning approach for DoS attack resilience in internet of vehicles security Open
View article: U-NeTrans at the Edge: Precision and Adaptability in Medical Image Analysis through Segment-based U-Net and Transformer Integration
U-NeTrans at the Edge: Precision and Adaptability in Medical Image Analysis through Segment-based U-Net and Transformer Integration Open
In the domain of edge computing for medical image analyses, utilizing advanced deep learning algorithms has shown promise in boosting precision and adaptability. Medical image analysis frequently requires striking a compromise between a mo…