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Ransomware Detection Using Machine Learning: A Survey

Big data and cognitive computing, 2023-09, Vol.7 (3), p.143

2023

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An Edge Computing-Based Preventive Framework With Machine Learning- Integration for Anomaly Detection and Risk Management in Maritime Wireless Communications

IEEE access, 2024, Vol.12, p.53646-53663

2024

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Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases

Annals of medicine (Helsinki), 2023, Vol.55 (2), p.2304108-2304108

2023

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Design and Evaluation of a Low-Power Wide-Area Network (LPWAN)-Based Emergency Response System for Individuals with Special Needs in Smart Buildings

Sensors (Basel, Switzerland), 2024-05, Vol.24 (11), p.3433

2024

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Enhancing UAV Aerial Image Analysis: Integrating Advanced SAHI Techniques with Real-Time Detection Models on the VisDrone Dataset

IEEE access, 2024-01, Vol.12, p.1-1

2024

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An Edge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With Integration of Modified LGBM and One Class-SVM Models

IEEE access, 2024, Vol.12, p.104948-104963

2024

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A Comprehensive Review on Integration Challenges, Optimization Techniques and Control Strategies of Hybrid AC/DC Microgrid

Applied sciences, 2021-07, Vol.11 (14), p.6242

2021

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Predictive Energy Management for Docker Containers in Cloud Computing: A Time Series Analysis Approach

IEEE access, 2024, Vol.12, p.52524-52538

2024

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Investigating Students' Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining Approach

Brain sciences, 2023-03, Vol.13 (3), p.456

2023

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Intrusion detection in cloud computing based on time series anomalies utilizing machine learning

Journal of cloud computing : advances, systems and applications, 2023-12, Vol.12 (1), p.127-17, Article 127

2023

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Unveiling the Future of Oral Squamous Cell Carcinoma Diagnosis: An Innovative Hybrid AI Approach for Accurate Histopathological Image Analysis

IEEE access, 2023, Vol.11, p.118281-118290

2023

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Hyperparameter Optimization for Software Bug Prediction Using Ensemble Learning

IEEE access, 2024, Vol.12, p.51869-51878

2024

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Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection

IEEE access, 2024, Vol.12, p.16431-16446

2024

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Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition

Journal of King Saud University. Computer and information sciences, 2024-04, Vol.36 (4), p.102036, Article 102036

2024

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Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy

Diagnostics (Basel), 2024-06, Vol.14 (13), p.1364

2024

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Combining the Strengths of the Explainable Boosting Machine and Metabolomics Approaches for Biomarker Discovery in Acute Myocardial Infarction

Diagnostics (Basel), 2024-06, Vol.14 (13), p.1353

2024

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Empowering Short Answer Grading: Integrating Transformer-Based Embeddings and BI-LSTM Network

Big data and cognitive computing, 2023-09, Vol.7 (3), p.122

2023

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Data Mining in Education

International journal of advanced computer science & applications, 2016-01, Vol.7 (6)

Algarni, Abdulmohsen

2016

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Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

Healthcare (Basel), 2023-10, Vol.11 (21), p.2864

2023

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TF-TDA: A Novel Supervised Term Weighting Scheme for Sentiment Analysis

Electronics (Basel), 2023-04, Vol.12 (7), p.1632

2023

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Detection and real-time analysis of influenza disease using graph data science and a multi-layer perceptron model

Journal of intelligent & fuzzy systems, 2024-04, p.1-22

2024

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Relevance Feature Discovery for Text Mining

IEEE transactions on knowledge and data engineering, 2015-06, Vol.27 (6), p.1656-1669

2015

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Mining Positive Relevance Feedback to Determine User Information Needs

Arabian Journal for Science and Engineering, 2014-12, Vol.39 (12), p.8765-8774

Algarni, Abdulmohsen

2014

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Early prediction of Student academic performance based on Machine Learning algorithms: A case study of bachelor’s degree students in KSA

Education and information technologies, 2023-12

2023

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Enhanced Steganalysis for Color Images Using Curvelet Features and Support Vector Machine

Computers, materials & continua, 2024, Vol.78 (1), p.1311-1328

2024

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Ransomware Detection Using Machine Learning: A Survey

An Edge Computing-Based Preventive Framework With Machine Learning- Integration for Anomaly Detection and Risk Management in Maritime Wireless Communications

Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases

Design and Evaluation of a Low-Power Wide-Area Network (LPWAN)-Based Emergency Response System for Individuals with Special Needs in Smart Buildings

Enhancing UAV Aerial Image Analysis: Integrating Advanced SAHI Techniques with Real-Time Detection Models on the VisDrone Dataset

An Edge Computing-Based and Threat Behavior-Aware Smart Prioritization Framework for Cybersecurity Intrusion Detection and Prevention of IEDs in Smart Grids With Integration of Modified LGBM and One Class-SVM Models

A Comprehensive Review on Integration Challenges, Optimization Techniques and Control Strategies of Hybrid AC/DC Microgrid

Predictive Energy Management for Docker Containers in Cloud Computing: A Time Series Analysis Approach

Investigating Students' Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining Approach

Intrusion detection in cloud computing based on time series anomalies utilizing machine learning

Unveiling the Future of Oral Squamous Cell Carcinoma Diagnosis: An Innovative Hybrid AI Approach for Accurate Histopathological Image Analysis

Hyperparameter Optimization for Software Bug Prediction Using Ensemble Learning

Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection

Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition

Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy

Combining the Strengths of the Explainable Boosting Machine and Metabolomics Approaches for Biomarker Discovery in Acute Myocardial Infarction

Empowering Short Answer Grading: Integrating Transformer-Based Embeddings and BI-LSTM Network

Data Mining in Education

Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

TF-TDA: A Novel Supervised Term Weighting Scheme for Sentiment Analysis

Detection and real-time analysis of influenza disease using graph data science and a multi-layer perceptron model

Relevance Feature Discovery for Text Mining

Mining Positive Relevance Feedback to Determine User Information Needs

Early prediction of Student academic performance based on Machine Learning algorithms: A case study of bachelor’s degree students in KSA

Enhanced Steganalysis for Color Images Using Curvelet Features and Support Vector Machine

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