Publications
A Hybrid Deep Learning Framework for Automated Dental Disorder Diagnosis from X-Ray Images
Automated project scheduling from UML sequence diagrams using OCR and critical path analysis
Decoding Multi-Omics Signatures in Lower-Grade Glioma Using Protein–Protein Interaction-Informed Graph Attention Networks and Ensemble Learning
Dual-Attention EfficientNet Hybrid U-Net for Segmentation of Rheumatoid Arthritis Hand X-Rays
EfficientNet-B3-Based Automated Deep Learning Framework for Multiclass Endoscopic Bladder Tissue Classification
Explainable fusion of EfficientNetB0 and ResNet50 for liver fibrosis staging in ultrasound imaging
Integrating multiomics data using a correlation based graph attention network for subtype classification in lower grade glioma
Progression-Aware and Explainable CNN–Transformer Framework for Multiclass Alzheimer’s Disease Staging Using MRI
Aggregated Catalyst Physicochemical Descriptor-Driven Machine Learning for Catalyst Optimization: Insights into Oxidative-Coupling-of-Methane Dynamics and C2 Yields
Progression-Aware and Explainable CNN–Transformer Framework for Multiclass Alzheimer’s Disease Staging Using MRI
CancerNet-W: A Symmetry-Driven Adaptive Deep Learning Pipeline with Dynamic Learning Rate Control for Early Breast and Cervical Cancer Detection
CancerNet-W: A Symmetry-Driven Adaptive Deep Learning Pipeline with Dynamic Learning Rate Control for Early Breast and Cervical Cancer Detection
CancerNet-W: A Symmetry-Driven Adaptive Deep Learning Pipeline with Dynamic Learning Rate Control for Early Breast and Cervical Cancer Detection
A Hybrid Deep Learning Framework for Automated Dental Disorder Diagnosis from X-Ray Images
An enhanced hybrid artificial bee colony and genetic algorithm for multi-objective workflow scheduling in the cloud
Progressive Attention-Enhanced EfficientNet–UNet for Robust Water-Body Mapping from Satellite Imagery
Machine Learning Framework for HbA1c Prediction: Data Enrichment, Cost Optimization, and Interpretability Through Stratified Regression and Multi-Stage Feature Selection
Integrating multiomics data using a correlation based graph attention network for subtype classification in lower grade glioma
Explainable fusion of EfficientNetB0 and ResNet50 for liver fibrosis staging in ultrasound imaging
Explainable fusion of EfficientNetB0 and ResNet50 for liver fibrosis staging in ultrasound imaging
A Score-Fusion Method Based on the Sine Cosine Algorithm for Enhanced Multimodal Biometric Authentication
Efficient multi-finger vein recognition using layer-wise progressive MobileNet fine-tuning and a Dense-Head Probabilistic Siamese Network
Automated project scheduling from UML sequence diagrams using OCR and critical path analysis
Automated project scheduling from UML sequence diagrams using OCR and critical path analysis
A Multi-Stage Hybrid Learning Model with Advanced Feature Fusion for Enhanced Prostate Cancer Classification
A Multi-Stage Hybrid Learning Model with Advanced Feature Fusion for Enhanced Prostate Cancer Classification
RAUM-GANs: a multi-layer GAN-enhanced framework for accurate multiple sclerosis lesion segmentation in MRI
Dual-Attention EfficientNet Hybrid U-Net for Segmentation of Rheumatoid Arthritis Hand X-Rays
Decoding Multi-Omics Signatures in Lower-Grade Glioma Using Protein–Protein Interaction-Informed Graph Attention Networks and Ensemble Learning
SAFF-ConvNeXt: A Scale-Aware Feature Fusion and SE-Attention Enhanced ConvNeXt Framework for Kidney Disease Detection in Medical Imaging
Leveraging Fuzzy C-Means and EfficientNetB0 for Improved ECG Image Classification
A keyless multimodal-based user authentication scheme using generative adversarial networks
Impact on Human Mental Behavior After Retirement Using Supervised Machine Learning Based on Decision Tree and Neural Network
Ethical AI in Healthcare: Integrating Zero-Knowledge Proofs and Smart Contracts for Transparent Data Governance
Cardiovascular disease detection: A hybrid machine learning-AI framework for personalized diagnosis and risk assessment
EfficientNet-B3-Based Automated Deep Learning Framework for Multiclass Endoscopic Bladder Tissue Classification
EfficientNet-B3-Based Automated Deep Learning Framework for Multiclass Endoscopic Bladder Tissue Classification
Automated Eye Disease Diagnosis Using a 2D CNN with Grad-CAM: High-Accuracy Detection of Retinal Asymmetries for Multiclass Classification
Enhancing Early Detection of Oral Squamous Cell Carcinoma: A Deep Learning Approach with LRT-Enhanced EfficientNet-B3 for Accurate and Efficient Histopathological Diagnosis
FracFusionNet: A Multi-Level Feature Fusion Convolutional Network for Bone Fracture Detection in Radiographic Images
Prediction of circRNA–miRNA Interaction Using Graph Attention Network Based on Molecular Attributes and Biological Networks
Real-Time Forest Fire Detection, Monitoring, and Mitigation to Safeguard Humanity Using YOLO and Federated Learning
Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM
FracFusionNet: A Multi-Level Feature Fusion Convolutional Network for Bone Fracture Detection in Radiographic Images
Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM
Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM
Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM
Decentralized Identity Management in Cloud Computing: A Blockchain-Based Solution With Automatic Provisioning Techniques
Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
Addressing Class Overlap in Sonic Hedgehog Medulloblastoma Molecular Subtypes Classification Using Under-Sampling and SVD-Enhanced Multinomial Regression
Efficient Arabic Essay Scoring with Hybrid Models: Feature Selection, Data Optimization, and Performance Trade-offs
Leveraging Fuzzy C-Means and EfficientNetB0 for Improved ECG Image Classification
Addressing Class Overlap in Sonic Hedgehog Medulloblastoma Molecular Subtypes Classification Using Under-Sampling and SVD-Enhanced Multinomial Regression
Enhancing Early Detection of Oral Squamous Cell Carcinoma: A Deep Learning Approach with LRT-Enhanced EfficientNet-B3 for Accurate and Efficient Histopathological Diagnosis
Leveraging Fuzzy C-Means and EfficientNetB0 for Improved ECG Image Classification
Leveraging Fuzzy C-Means and EfficientNetB0 for Improved ECG Image Classification
A robust tuned EfficientNet-B2 using dynamic learning for predicting different grades of brain cancer
Optimized YOLOv8 for Enhanced Breast Tumor Segmentation in Ultrasound Imaging
Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging
Optimized YOLOv8 for Enhanced Breast Tumor Segmentation in Ultrasound Imaging
A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer
A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer
A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer
Leveraging LSTM and ensemble classifiers for enhanced food waste classification
A robust tuned EfficientNet-B2 using dynamic learning for predicting different grades of brain cancer
Automated Eye Disease Diagnosis Using a 2D CNN with Grad-CAM: High-Accuracy Detection of Retinal Asymmetries for Multiclass Classification
Prediction of circRNA–miRNA Interaction Using Graph Attention Network Based on Molecular Attributes and Biological Networks
Aggregated Catalyst Physicochemical Descriptor-Driven Machine Learning for Catalyst Optimization: Insights into Oxidative-Coupling-of-Methane Dynamics and C2 Yields
Aggregated Catalyst Physicochemical Descriptor-Driven Machine Learning for Catalyst Optimization: Insights into Oxidative-Coupling-of-Methane Dynamics and C2 Yields
Ensemble deep learning for Alzheimer’s disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models
Ensemble deep learning for Alzheimer’s disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models
Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness
Innovative Tailored Semantic Embedding and Machine Learning for Precise Prediction of Drug-Drug Interaction Seriousness
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
An Intracranial Brain Hemorrhage's Identification and Classification on CT Imaging using Fuzzy Deep Learning
A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
A Robust EfficientNetV2-S Classifier for Predicting Acute Lymphoblastic Leukemia Based on Cross Validation
Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review
KidneyNet: A Novel CNN-Based Technique for the Automated Diagnosis of Chronic Kidney Diseases from CT Scans
Stego-Image Synthesis Employing Data-Driven Continuous Variable Representations of Cover Images
A Robust EfficientNetV2-S Classifier for Predicting Acute Lymphoblastic Leukemia Based on Cross Validation
KidneyNet: A Novel CNN-Based Technique for the Automated Diagnosis of Chronic Kidney Diseases from CT Scans
KidneyNet: A Novel CNN-Based Technique for the Automated Diagnosis of Chronic Kidney Diseases from CT scans
A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine-Tuning of Vision Transformer Models
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique
Computational challenges and solutions: Prime number generation for enhanced data security
An Accurate Deep Learning-Based Computer-Aided Diagnosis System for Gastrointestinal Disease Detection Using Wireless Capsule Endoscopy Image Analysis
An Accurate Deep Learning-Based Computer-Aided Diagnosis System for Gastrointestinal Disease Detection Using Wireless Capsule Endoscopy Image Analysis
An Accurate Deep Learning-Based Computer-Aided Diagnosis System for Gastrointestinal Disease Detection Using Wireless Capsule Endoscopy Image Analysis
Enhancing Breast Cancer Detection in Ultrasound Images-An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Adaptive Dynamic Learning Rate Optimization Technique for Colorectal Cancer Diagnosis Based on Histopathological Image Using EfficientNet-B0 Deep Learning Model
Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network
Intracranial Brain Hemorrhage's Identification and Classification on CT Imaging using Fuzzy Deep Learning
Advanced Deep Learning Fusion Model for Early Multi-Classifcation of Lung and Colon Cancer Using Histopathological Images
Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images
Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network
Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI)
Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI)
Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI)
Adaptive Dynamic Learning Rate Optimization Technique for Colorectal Cancer Diagnosis Based on Histopathological Image Using EfficientNet-B0 Deep Learning Model
Machine Learning based Systems for Intrusion Detection in VANETs
Machine Learning-Based Systems for Intrusion Detection in VANETs
Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
An Efficient Deep Learning Approach for DNA-binding Proteins Classification from Primary Sequences
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
Olive Leaf Disease Detection via Wavelet Transform and Feature Fusion of Pre-trained Deep Learning Models
Olive Leaf Disease Detection via Wavelet Transform and Feature Fusion of Pre-trained Deep Learning Models
Transformative synergy: SSEHCET—bridging mobile edge computing and AI for enhanced eHealth security and efficiency
Performance Evaluation of Multiple Machine Learning Models in Predicting Power Generation for a Grid-Connected 300 MW Solar Farm
A deep transfer learning model for green environment security analysis in smart city
Employing a hybrid lion-firefly algorithm for recognition and classification of olive leaf disease in Saudi Arabia
Multi-layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation
Breast Ultrasound Images Augmentation and Segmentation Using GANs with Identity Block and Modified U-Net 3+
Artificial Cognition for Detection of Mental Disability: A Vision Transformer Approach for Alzheimer’s Disease
Hybrid Malware Variant Detection Model with Extreme Gradient Boosting and Artificial Neural Network Classifiers
An Approach for Cancer-Type Classification using Feature Se-lection Techniques with Convolutional Neural Network
Strengthening Cloud Security: An Innovative Multi-Factor Multi-Layer Authentication Framework for Cloud User Authentication
Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review
Enhancing diabetic retinopathy classification using deep learning
Improved Siamese Palmprint Authentication using Pre-trained VGG16-Palmprint and Element-wise Absolute Difference
A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG
Deep learning-enhanced diabetic retinopathy image classification
Towards a Secure Technology-Driven Architecture for Smart Health Insurance Systems: An Empirical Study
Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques
Home Advances in Systems Engineering Conference paper Securing Electronic Health Records (EHR) from Tampering Using Blockchain
Ranking of Web Search for Best Link Identification by Using Hierarchy of Web Page Content
Reliable prediction of software defects using Shapley interpretable machine learning models
Advancing database security: a comprehensive systematic mapping study of potential challenges
DOI: https://doi.org/10.1007/s11276-023-03436-z(0123456789().,-volV)(0123456789().,-volV)
Enhancement of Diabetic Retinopathy Prognostication Using Deep Learning, CLAHE, and ESRGAN
YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images
A fully automatic fine tuned deep learning model for knee osteoarthritis detection and progression analysis
Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB
Deep learning models for multilabel ECG abnormalities classification: A comparative study using TPE optimization
Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB
Spatial Decision Support System for Residential Solar Energy Adoption
A New Approach for Cancer Prediction based on Deep Neural Learning
Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP
Improving Healthcare Facilities in Remote Areas Using Cutting-Edge Technologies
Diagnosing Melanomas in Dermoscopy Images Using Deep Learning
A New Approach for Cancer Prediction based on Deep Neural Learning
YOLO-Based Deep Learning Model for Pressure Ulcer Detection and Classification
YOLO-Based Deep Learning Model for Pressure Ulcer Detection and Classification
A Transfer Learning Approach for Clinical Detection Support of Monkeypox Skin Lesions
A Transfer Learning Approach for Clinical Detection Support of Monkeypox Skin Lesions
Satellite Image Categorization Using Scalable Deep Learning
A fully automatic fine tuned deep learning model for knee osteoarthritis detection and progression analysis
A-Tuning Ensemble Machine Learning Technique for Cerebral Stroke Prediction
A-Tuning Ensemble Machine Learning Technique for Cerebral Stroke Prediction
A Prediction Model for studying the Impact of Separated Families on Students using Decision Tree
Deep Learning-based prediction of Diabetic Retinopathy using CLAHE and ESRGAN for Enhancement
A Blockchain-Enabled Framework for Improving the Software Audit Process
Groundwater Management Based on Time Series and Ensembles
Groundwater Management Based on Time Series and Ensembles of Machine Learning
The Internet of Things Healthcare Monitoring System Based on MQTT Protocol
Secure Global Software Development: A Practitioners' Perspective
Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network
Robustness Fine-Tuning Deep Learning Model for Cancers Diagnosis Based on Histopathology Image Analysis
Computer-Aided Diagnosis System for Blood Diseases Using EfficientNet-B3 Based on a Dynamic Learning Algorithm
Improved Siamese Palmprint Authentication Using Pre-Trained VGG16-Palmprint and Element-Wise Absolute Difference
Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis using Supervised Classification
Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection
A Granular Computing Classifier for Human Activity with Smartphones
A Granular Computing Classifier for Human Activity with Smartphones
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Improving the Safety and Security of Software Systems by Mediating SAP Verification
Improving the Safety and Security of Software Systems by Mediating SAP Verification
Delivering Digital Healthcare for Elderly: A Holistic Framework for the Adoption of Ambient Assisted Living
Towards a Readiness Model for Secure Software Coding
A Comprehensive Review of Face Morph Generation and Detection of fraudulent Identities”, MDPI Applied Sciences
Melanoma Detection Using Deep Learning-Based Classifications
Computer-Aided Diagnosis for Early Signs of Skin Diseases Using Multi Types Feature Fusion Based on a Hybrid Deep Learning Model
Computer-Aided Diagnosis for Early Signs of Skin Diseases Using Multi Types Feature Fusion Based on a Hybrid Deep Learning Model
A flexible framework for requirement management (FFRM) from software architecture toward distributed agile framework,
Enhancing Sentiment Analysis via Random Majority Under-Sampling with Reduced Time Complexity for Classifying Tweet Reviews
Enhancing Sentiment Analysis via Random majority Under-sampling with Reduced Time Complexity for Classifying Tweet Reviews
Software-as-a-Service Security Challenges and Best Practices: A Multivocal Literature Review
Software-as-a-Service Security Challenges and Best Practices: A Multivocal Literature Review
Enhancing Sentiment Analysis via Random Majority Under-Sampling with Reduced Time Complexity for Classifying Tweet Reviews
A criterion for the global convergence of conjugate gradient methods under strong Wolfe line search
A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification
Smart Traffic Management System for Metropolitan Cities of Kingdom Using Cutting Edge Technologies
Smart Traffic management system for metropolitan cities of kingdom using cutting edge technologies
Superlative feature selection based image classification using deep learning in medical imaging
Framework for Improved Sentiment Analysis via Random Minority Oversampling for User Tweet ReviewClassification
Expansion of the olive crop based on modeling climatic variables using Geographic Information system (GIS) in Aljouf Region KSA
Predicting Students’ Engagement in Online Courses Using Machine Learning
Deep learning model for selecting suitable requirements elicitation techniques
A Trust-Based Model for Secure Routing Against RPL Attacks in Internet of Things”
Anomaly Detection Paradigm for Multivariate Time Series Data Mining for Healthcare
Unsupervised Outlier Detection in IOT Using Deep VAE
Deep LSTM Model for Diabetes Prediction with Class Balancing by SMOTE
An Efficient Deep Learning Mechanism for the Recognition of Olive Trees in Jouf Region
Security in Wireless Body Sensor Network: A Multivocal Literature Study
Optimized Scheduling Method in 6TSCH Wireless Networks
Olive Disease Classification Based on Vision Transformer and CNN Models
AI-Based Wormhole Attack Detection Techniques in Wireless Sensor Networks
ECG Heartbeat Classification Using CONVXGB Model
A Comprehensive Review of Face Morph Generation and Detection of Fraudulent Identities
Agent-based medical health monitoring system
Detection of Skin-Cancer Based on skin lesion Images Using Deep Learning
Enhanced Sentiment Analysis Algorithms for Multi-Weight Polarity Selection on Twitter Dataset
Multiple Ocular Disease Diagnosis Using Fundus Images Based on Multi-Label Deep Learning Classification
Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus
Initial Stage COVID-19 Detection System Based on Patients’ Symptoms and Chest X-Ray Images
Initial stage COVID-19 detection system based on patients’ symptoms and chest X-ray images
Securing Drug Distribution Systems from Tampering Using Blockchain
Agent-Based Medical Health Monitoring System
Advanced Authentication Mechanisms for Identity and Access Management in Cloud Computing
Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model
Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm
Enabling recommendation system architecture in virtualized environment for e-learning
Real-Time Security Health and Privacy Monitoring for Saudi Highways Using Cutting-Edge Technologies
Real-Time Security Health and Privacy Monitoring for Saudi Highways Using Cutting-Edge Technologies
Numerical and Theoretical Investigation to Estimate Darcy Friction Factor in Water Network Problem Based on Modified Chun-Hui He?s Algorithm and Applications
Energy Optimization for Smart Cities Using IoT
Detection of COVID-19 Based on Chest X-rays Using Deep Learning
Autonomous Traffic System for Emergency Vehicles
Optimizing Approach of Water Allocation to Off?Takes During Reduced Flows
Digital Watermarking Scheme for Securing Textual Database Using Histogram Shifting Model
Security Threat and Vulnerability Assessment and Measurement in Secure Software Development
Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data
Optimal Deep Neural Network-Based Model for Answering Visual Medical Question
Optimal Deep Neural Network-Based Model for Answering Visual Medical Question
Industry 4.0 and Cyber Security Issues and Challenges
A Multi-Factor Authentication-Based Framework for Identity Management in Cloud Applications
A FUZZY-BASED APPROACH FOR TRAFFIC JAM DETECTION
Global Convergence of Nonlinear Conjugate Gradient Coefficients with Inexact Line Search
An Intelligent Groundwater Management Recommender System
An Intelligent Groundwater Management Recommender System
Prediction of COVID-19 Transmission in the United States Using Google Search Trends
A Deep Learning Model for Face Mask Detection
Intrusion detection systems in internet of things and mobile ad-hoc networks
An integrated approach on verification of signatures using multiple classifiers (SVM and Decision Tree): A multi-classification approach
Big social data and customer decision making in vegetarian restaurants: A combined machine learning method
Business email compromise (BEC) attacks
Hybrid smart grid with sustainable energy efficient resources for smart cities
Predicting the Need for ICU Admission in COVID-19 Patients Using XGBoost
An E-Business Event Stream Mechanism for Improving User Tracing Processes
Test case prioritization techniques in software regression testing: An overview
Internet of things and ransomware: Evolution, mitigation and prevention
Time-to-Event Analysis for Recovery from Coronavirus Disease (COVID-19): A Case Study on Wuhan and Elsewhere in China from Jan 1 to Feb 11, 2020
Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing
Design a secure IoT Architecture using Smart Wireless Networks
Predicting Life Expectancy at Birth
Towards an effective approach for architectural knowledge management considering global software development
A Silent Password Recognition Framework based on Lip Analysis
Developing Cloud Computing Time Slot-availability Predictions Using an Artificial Neural Network
Design and Implementation of Secured E-Business Structure with LTL Patterns for User Behavior Prediction
Security Assessment Model for Database Relational Designs
A Mobile App for Diagnosing Horses’ Diseases
Enterprise Architecture Security Assessment Framework (EASAF)
Framework to monitor pregnant women with a high risk of premature labour using sensor networks
A Generic Model for Assessing Multilevel Security-Critical Object-Oriented Programs
Developing Secure Systems: A Comparative Study of Existing Methodologies
Mutual Chain Authentication Protocol for SPAN Transactions in Saudi Arabian Banking
Hierarchical Security Assessment Model for Object-Oriented Programs
Assessing the Impact of Refactoring on Security-Critical Object-Oriented Designs
Security Metrics for Object-Oriented Designs
Security Metrics for Object-Oriented Class Designs