Mohammed Shuaib
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View article: MoX: an explainable hybrid deep-learning model for integrating multi-omics data to predict event-free survival in neuroblastoma prognosis
MoX: an explainable hybrid deep-learning model for integrating multi-omics data to predict event-free survival in neuroblastoma prognosis Open
Neuroblastoma, a challenging pediatric cancer, requires effective prediction models to improve patient outcomes. This paper introduces MoX, a hybrid deep-learning model designed to predict event-free survival (EFS) in neuroblastoma patient…
View article: Twined ensemble framework for network security: integrating Random Forest, AdaBoost, and Gradient Boosting for enhanced intrusion detection
Twined ensemble framework for network security: integrating Random Forest, AdaBoost, and Gradient Boosting for enhanced intrusion detection Open
An Intrusion Detection System (IDS) is crucial for safeguarding networks against cyber threats. This research presents a novel Twined Ensemble model, specifically designed to enhance intrusion detection performance using the NSL-KDD datase…
View article: Enhanced Early Parkinson’s Classification: A Transfer Learning Approach Using Augmented Hand Drawing Records
Enhanced Early Parkinson’s Classification: A Transfer Learning Approach Using Augmented Hand Drawing Records Open
Parkinson's disease (PD) is a brain disorder affecting motor control due to damage in the basal ganglia, leading to the death of about 60% of neurons and a significant drop in dopamine. This results in motor impairments like tremors and ma…
View article: AlzheimerViT: harnessing lightweight vision transformer architecture for proactive Alzheimer’s screening
AlzheimerViT: harnessing lightweight vision transformer architecture for proactive Alzheimer’s screening Open
Background Alzheimer’s is a disease in the human brain characterized by gradual memory loss, confusion, and alterations in behavior. It is a complex and continuously degenerative disorder of the nervous system, which still has early detect…
View article: A multi-scale convolutional LSTM-dense network for robust cardiac arrhythmia classification from ECG signals
A multi-scale convolutional LSTM-dense network for robust cardiac arrhythmia classification from ECG signals Open
Cardiac arrhythmias are irregular heart rhythms that, if undetected, can lead to severe cardiovascular conditions. Detecting these anomalies early through electrocardiogram (ECG) signal analysis is critical for preventive healthcare and ef…
View article: Detecting anomalies in smart wearables for hypertension: a deep learning mechanism
Detecting anomalies in smart wearables for hypertension: a deep learning mechanism Open
Introduction The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) usi…
View article: Emotion-Aware Ensemble Learning (EAEL): Revolutionizing Mental Health Diagnosis of Corporate Professionals via Intelligent Integration of Multi-Modal Data Sources and Ensemble Techniques
Emotion-Aware Ensemble Learning (EAEL): Revolutionizing Mental Health Diagnosis of Corporate Professionals via Intelligent Integration of Multi-Modal Data Sources and Ensemble Techniques Open
In this contemporary landscape of corporate environments, the increasing prevalence of mental health challenges necessitates the development of innovative diagnostic methodologies. This research introduces the Emotion-Aware Ensemble Learni…
View article: Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and Tools
Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and Tools Open
The development of reliable software depends heavily on the effective collaboration between teams responsible for development and testing. Despite ongoing efforts, many software programs still contain bugs that can lead to financial losses…
View article: Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices
Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices Open
This research addresses the critical issue of cryptojacking attacks, a significant cybersecurity threat where malicious actors covertly exploit computational resources for unauthorized cryptocurrency mining, particularly in wireless sensor…
View article: Prospects of Computational Intelligence in Society: Human-Centric Solutions, Challenges, and Research Areas
Prospects of Computational Intelligence in Society: Human-Centric Solutions, Challenges, and Research Areas Open
The future of society could be shaped by artificial intelligence (AI), which is a part of soft computing that deals with probabilistic reasoning, neural networks, fuzzy logic, and evolutionary algorithms. This paper focuses on issues that …
View article: Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT(N) protein biomarkers
Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT(N) protein biomarkers Open
Introduction Machine learning (ML) algorithms and statistical modeling offer a potential solution to offset the challenge of diagnosing early Alzheimer's disease (AD) by leveraging multiple data sources and combining information on neurops…
View article: A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery
A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery Open
Brain tumors occur due to the expansion of abnormal cell tissues and can be malignant (cancerous) or benign (not cancerous). Numerous factors such as the position, size, and progression rate are considered while detecting and diagnosing br…
View article: A Transfer Learning Approach: Early Prediction of Alzheimer’s Disease on US Healthy Aging Dataset
A Transfer Learning Approach: Early Prediction of Alzheimer’s Disease on US Healthy Aging Dataset Open
Alzheimer’s disease (AD) is a growing public health crisis, a very global health concern, and an irreversible progressive neurodegenerative disorder of the brain for which there is still no cure. Globally, it accounts for 60–80% of dementi…
View article: A trustworthy hybrid model for transparent software defect prediction: SPAM-XAI
A trustworthy hybrid model for transparent software defect prediction: SPAM-XAI Open
Maintaining quality in software development projects is becoming very difficult because the complexity of modules in the software is growing exponentially. Software defects are the primary concern, and software defect prediction (SDP) play…
View article: Graph-Based Hotspot Detection of Socio-Economic Data Using Rough-Set
Graph-Based Hotspot Detection of Socio-Economic Data Using Rough-Set Open
The term hotspot refers to a location or an area where the occurrence of a particular phenomenon, event, or activity is significantly higher than in the surrounding areas. The existing statistical methods need help working well on discrete…
View article: E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers
E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers Open
Cloud data centers present a challenge to environmental sustainability because of their significant energy consumption. Additionally, performance degradation resulting from energy management solutions, such as virtual machine (VM) consolid…
View article: IoT-driven accessibility: A refreshable OCR-Braille solution for visually impaired and deaf-blind users through WSN
IoT-driven accessibility: A refreshable OCR-Braille solution for visually impaired and deaf-blind users through WSN Open
The spectacular concept of integrating OCR with the Internet of Things (IoT) and Wireless Sensor Networks (WSN), presented in this study, intends to increase the autonomy and social inclusion of people with visual impairments and deaf-blin…
View article: Optimising barrier placement for intrusion detection and prevention in WSNs
Optimising barrier placement for intrusion detection and prevention in WSNs Open
This research addresses the pressing challenge of intrusion detection and prevention in Wireless Sensor Networks (WSNs), offering an innovative and comprehensive approach. The research leverages Support Vector Regression (SVR) models to pr…
View article: Enhancing Precision Agriculture and Land Cover Classification: A Self-Attention 3D Convolutional Neural Network Approach for Hyperspectral Image Analysis
Enhancing Precision Agriculture and Land Cover Classification: A Self-Attention 3D Convolutional Neural Network Approach for Hyperspectral Image Analysis Open
Hyperspectral imagery, capturing information beyond the visible spectrum, is essential for many remote sensing applications. This paper introduces a novel approach utilizing a 3D Convolutional Neural Network (CNN) enhanced with self-attent…
View article: Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding
Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding Open
Attributed networks are prevalent in the current information infrastructure, where node attributes enhance knowledge discovery. Anomaly detection in attributed networks is gaining attention for its potential uses in cybersecurity, finance,…
View article: An internet of things enabled machine learning model for Energy Theft Prevention System (ETPS) in Smart Cities
An internet of things enabled machine learning model for Energy Theft Prevention System (ETPS) in Smart Cities Open
Energy theft is a significant problem that needs to be addressed for effective energy management in smart cities. Smart meters are highly utilized in smart cities that help in monitoring the energy utilization level and provide information…
View article: Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification
Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification Open
Dementias that develop in older people test the limits of modern medicine. As far as dementia in older people goes, Alzheimer’s disease (AD) is by far the most prevalent form. For over fifty years, medical and exclusion criteria were used …
View article: Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain
Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain Open
The emergence of the Internet of Things (IoT) and its subsequent evolution into the Internet of Everything (IoE) is a result of the rapid growth of information and communication technologies (ICT). However, implementing these technologies …
View article: Multihop Uplink Communication Approach Based on Layer Clustering in LoRa Networks for Emerging IoT Applications
Multihop Uplink Communication Approach Based on Layer Clustering in LoRa Networks for Emerging IoT Applications Open
LoRa technology is widely used in the Internet of things network applications. It enables low-volume data transmission via small wireless devices. The principle of LoRa networks (an LPWAN technology: Low Power Wide Area Network) is to tran…
View article: A Hybrid Framework of Blockchain and IoT Technology in the Pharmaceutical Industry: A Comprehensive Study
A Hybrid Framework of Blockchain and IoT Technology in the Pharmaceutical Industry: A Comprehensive Study Open
The pharmaceutical company is key to having a strong healthcare system, and excellent healthcare is essential for every society and economy. However, there are significant concerns with medication safety and security as a result of fake an…
View article: An Overview of Blockchain and IoT Integration for Secure and Reliable Health Records Monitoring
An Overview of Blockchain and IoT Integration for Secure and Reliable Health Records Monitoring Open
The Internet of Things (IoT) and blockchain (BC) are reliable technologies widely employed in various contexts. IoT devices have a lot of potential for data sensing and recording without human intervention, but they also have processing an…
View article: An Optimized, Dynamic, and Efficient Load-Balancing Framework for Resource Management in the Internet of Things (IoT) Environment
An Optimized, Dynamic, and Efficient Load-Balancing Framework for Resource Management in the Internet of Things (IoT) Environment Open
Major problems and issues in Internet of Things (IoT) systems include load balancing, lowering operational expenses, and power usage. IoT devices typically run on batteries because they lack direct access to a power source. Geographical co…
View article: Fuzzy Decision-Making Method based Evaluation of Smart Healthcare Management
Fuzzy Decision-Making Method based Evaluation of Smart Healthcare Management Open
The smart medical system is becoming a health policy service that employs wearables, online services and mobile devices to connect to the internet continuously and connect patients, technology and healthcare centers, and then cope efficien…
View article: Unbalanced Credit Card Fraud Detection Data: A Machine Learning-Oriented Comparative Study of Balancing Techniques
Unbalanced Credit Card Fraud Detection Data: A Machine Learning-Oriented Comparative Study of Balancing Techniques Open
The number of individuals who use credit cards has increased dramatically in recent decades, as has the volume of credit card fraud transactions. Consequently, banks and credit card companies must be able to classify fraudulent credit card…
View article: Navigation and Speed Regulation Aimed at Travel through Immersive Virtual Environments: A Review
Navigation and Speed Regulation Aimed at Travel through Immersive Virtual Environments: A Review Open
The recent technical and interaction breakthroughs within the virtual reality (VR) sector have marked a new age. This has also led to a huge advancement of technology in the arena of Virtual environment locomotion. Fixed movement speeds ar…