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Diagnosing Out-of-Control Signals of Multivariate Control Chart based on Variable Length PSO-SVM

Revista română de informatică și automatică = Romanian journal of information technology and automatic control, 2021-09, Vol.31 (3), p.5-17

2021

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Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method

Hydrological sciences journal, 2020-09, Vol.65 (12), p.2116-2127

2020

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Modified Ant Colony Optimization for Human Recognition in Videos of Low Resolution

Revue d'Intelligence Artificielle, 2022-10, Vol.36 (5), p.731-736

2022

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Predicting Psychosomatic Disorders Arising from Intensive Exposure to Social Networks - Using Machine Learning Techniques

Revue d'Intelligence Artificielle, 2023-02, Vol.37 (1), p.29-37

2023

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Electromyography Signal Analysis for the Detection of TMJ Disorder Using Classification Models and Multivariate Analysis

Revue d'Intelligence Artificielle, 2022-06, Vol.36 (3), p.503-508

2022

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A Novel Approach in Bio-Medical Image Segmentation for Analyzing Brain Cancer Images with U-NET Semantic Segmentation and TPLD Models Using SVM

Traitement du signal, 2022-04, Vol.39 (2), p.419-430

2022

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Probability‐enhanced sufficient dimension reduction for binary classification

Biometrics, 2014-09, Vol.70 (3), p.546-555

2014

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Deep Learning-Assisted SVMs for Efficacious Diagnosis of Tomato Leaf Diseases: A Comparative Study of GoogleNet, AlexNet, and ResNet-50

Ingénierie des systèmes d'Information, 2023-06, Vol.28 (3), p.639

2023

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Disease Feature Recognition of Hydroponic Lettuce Images Based on Support Vector Machine

Traitement du signal, 2022-04, Vol.39 (2), p.617-625

2022

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Efficient Feature Based Melanoma Skin Image Classification Using Machine Learning Approaches

Traitement du signal, 2022-10, Vol.39 (5), p.1663

2022

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A Hybrid Model: Multiple Feature Selection Approach Using Transfer Learning for Bacteria Classification

Traitement du signal, 2022-12, Vol.39 (6), p.2123-2131

2022

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ECG Signal Classification Using DWT, MFCC and SVM Classifier

Traitement du signal, 2023-02, Vol.40 (1), p.335-342

2023

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Predicting Cancer Survival Using Multilayer Perceptron and High-Dimensional SVM Kernel Space

Ingénierie des systèmes d'Information, 2022-10, Vol.27 (5), p.829-834

2022

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A Hybrid Model Particle Swarm Optimization Based Mammogram Classification Using Kernel Support Vector Machine

Traitement du signal, 2022-06, Vol.39 (3), p.915-922

2022

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Improved Diverse Gaussian HMM and SVM ML Technique for Sensor Fault Detection and Classification in Air Quality Monitoring System

Ingénierie des systèmes d'Information, 2023-02, Vol.28 (1), p.105-111

2023

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Integrating an artificial intelligence approach with k-means clustering to model groundwater salinity: the case of Gaza coastal aquifer (Palestine)

Hydrogeology journal, 2017-12, Vol.25 (8), p.2347-2361

2017

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Prediction of Chronic Kidney Disease with Machine Learning Models and Feature Analysis Using SHAP

Revue d'Intelligence Artificielle, 2023-04, Vol.37 (2), p.493

2023

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Stabbing of Intrusion with Learning Framework Using Auto Encoder Based Intellectual Enhanced Linear Support Vector Machine for Feature Dimensionality Reduction

Revue d'Intelligence Artificielle, 2022-10, Vol.36 (5), p.737-743

2022

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Deep and Statistical Features Classification Model for Electroencephalography Signals

Traitement du signal, 2022-10, Vol.39 (5), p.1517

2022

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Investigation of Epileptic Seizure Signatures Classification in EEG Using Supervised Machine Learning Algorithms

Traitement du signal, 2023-02, Vol.40 (1), p.43-54

2023

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Role of Deep Learning in Improving the Performance of Driver Fatigue Alert System

Traitement du signal, 2022-04, Vol.39 (2), p.577-588

2022

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Identifying optimal biomarker combinations for treatment selection via a robust kernel method

Biometrics, 2014-12, Vol.70 (4), p.891-901

2014

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Microwave Characterization Using Ridge Polynomial Neural Networks and Least-Square Support Vector Machines

IEEE transactions on magnetics, 2011-05, Vol.47 (5), p.990-993

2011

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IEEE_Xplore

Adaptive production control system for a flexible manufacturing cell using support vector machine-based approach

International journal of advanced manufacturing technology, 2013-07, Vol.67 (1-4), p.969-981

2013

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A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam

Hydrological sciences journal, 2022-05, Vol.67 (7), p.1065-1083

2022

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Diagnosing Out-of-Control Signals of Multivariate Control Chart based on Variable Length PSO-SVM

Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method

Modified Ant Colony Optimization for Human Recognition in Videos of Low Resolution

Predicting Psychosomatic Disorders Arising from Intensive Exposure to Social Networks - Using Machine Learning Techniques

Electromyography Signal Analysis for the Detection of TMJ Disorder Using Classification Models and Multivariate Analysis

A Novel Approach in Bio-Medical Image Segmentation for Analyzing Brain Cancer Images with U-NET Semantic Segmentation and TPLD Models Using SVM

Probability‐enhanced sufficient dimension reduction for binary classification

Deep Learning-Assisted SVMs for Efficacious Diagnosis of Tomato Leaf Diseases: A Comparative Study of GoogleNet, AlexNet, and ResNet-50

Disease Feature Recognition of Hydroponic Lettuce Images Based on Support Vector Machine

Efficient Feature Based Melanoma Skin Image Classification Using Machine Learning Approaches

A Hybrid Model: Multiple Feature Selection Approach Using Transfer Learning for Bacteria Classification

ECG Signal Classification Using DWT, MFCC and SVM Classifier

Predicting Cancer Survival Using Multilayer Perceptron and High-Dimensional SVM Kernel Space

A Hybrid Model Particle Swarm Optimization Based Mammogram Classification Using Kernel Support Vector Machine

Improved Diverse Gaussian HMM and SVM ML Technique for Sensor Fault Detection and Classification in Air Quality Monitoring System

Integrating an artificial intelligence approach with k-means clustering to model groundwater salinity: the case of Gaza coastal aquifer (Palestine)

Prediction of Chronic Kidney Disease with Machine Learning Models and Feature Analysis Using SHAP

Stabbing of Intrusion with Learning Framework Using Auto Encoder Based Intellectual Enhanced Linear Support Vector Machine for Feature Dimensionality Reduction

Deep and Statistical Features Classification Model for Electroencephalography Signals

Investigation of Epileptic Seizure Signatures Classification in EEG Using Supervised Machine Learning Algorithms

Role of Deep Learning in Improving the Performance of Driver Fatigue Alert System

Identifying optimal biomarker combinations for treatment selection via a robust kernel method

Microwave Characterization Using Ridge Polynomial Neural Networks and Least-Square Support Vector Machines

Adaptive production control system for a flexible manufacturing cell using support vector machine-based approach

A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam

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