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A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges

Sensors (Basel, Switzerland), 2023-04, Vol.23 (9), p.4178

2023

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FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection

PloS one, 2023-12, Vol.18 (12), p.e0294701-e0294701

2023

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A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection

PloS one, 2022-12, Vol.17 (12), p.e0278095-e0278095

2022

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Short-term photovoltaic power production forecasting based on novel hybrid data-driven models

Journal of big data, 2023-12, Vol.10 (1), p.26-25, Article 26

2023

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A Comprehensive Review on Fake News Detection With Deep Learning

IEEE access, 2021, Vol.9, p.156151-156170

2021

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Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living

International journal of environmental research and public health, 2020-02, Vol.17 (3), p.1082

2020

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Succinylated lysine residue prediction revisited

Briefings in bioinformatics, 2023-01, Vol.24 (1)

2023

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The Disproportionate Impact of COVID-19 among Undocumented Immigrants and Racial Minorities in the US

International journal of environmental research and public health, 2021-12, Vol.18 (23), p.12708

2021

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Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach

Energies (Basel), 2020-08, Vol.13 (15), p.3930

2020

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Multi-region electricity demand prediction with ensemble deep neural networks

PloS one, 2023-05, Vol.18 (5), p.e0285456-e0285456

2023

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CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning

BMC bioinformatics, 2020-06, Vol.21 (1), p.223-13, Article 223

2020

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Unusual Driver Behavior Detection in Videos Using Deep Learning Models

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.311

2022

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Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants

Renewables : wind, water, and solar, 2024-02, Vol.11 (1), p.5-26, Article 5

2024

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A perceptible stacking ensemble model for air temperature prediction in a tropical climate zone

DISCOVER ENVIRONMENT, 2023-09, Vol.1 (1), p.1-24, Article 15

2023

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A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings

Sensors (Basel, Switzerland), 2021-06, Vol.21 (12), p.4225

2021

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The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis

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

2024

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An Improved Flood Susceptibility Assessment in Jeddah, Saudi Arabia, Using Advanced Machine Learning Techniques

Water (Basel), 2023-07, Vol.15 (14), p.2511

2023

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An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff

PloS one, 2023-06, Vol.18 (6), p.e0286155-e0286155

2023

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Condition monitoring of water pump bearings using ensemble classifier

Advances in mechanical engineering, 2022-03, Vol.14 (3)

2022

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Smart-Agri: A Smart Agricultural Management with IoT-ML-Blockchain Integrated Framework

International journal of advanced computer science & applications, 2023, Vol.14 (7)

2023

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A Comparison of Machine Learning Methods for the Diagnosis of Motor Faults Using Automated Spectral Feature Extraction Technique

Journal of nondestructive evaluation, 2022-06, Vol.41 (2), Article 31

2022

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Computer Aided COVID-19 Diagnosis in Pandemic Era Using CNN in Chest X-ray Images

Life (Basel, Switzerland), 2022-10, Vol.12 (11), p.1709

2022

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A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough

IEEE access, 2024, Vol.12, p.41542-41556

2024

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An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration

Technologies (Basel), 2024-04, Vol.12 (4), p.56

2024

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A Scalo gram-based CNN Ensemble Method with Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

IEEE access, 2023-01, Vol.11, p.1-1

2023

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A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges

FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection

Short-term photovoltaic power production forecasting based on novel hybrid data-driven models

A Comprehensive Review on Fake News Detection With Deep Learning

Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living

Succinylated lysine residue prediction revisited

The Disproportionate Impact of COVID-19 among Undocumented Immigrants and Racial Minorities in the US

Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach

Multi-region electricity demand prediction with ensemble deep neural networks

CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning

Unusual Driver Behavior Detection in Videos Using Deep Learning Models

Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants

A perceptible stacking ensemble model for air temperature prediction in a tropical climate zone

A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings

The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis

An Improved Flood Susceptibility Assessment in Jeddah, Saudi Arabia, Using Advanced Machine Learning Techniques

An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff

Condition monitoring of water pump bearings using ensemble classifier

Smart-Agri: A Smart Agricultural Management with IoT-ML-Blockchain Integrated Framework

A Comparison of Machine Learning Methods for the Diagnosis of Motor Faults Using Automated Spectral Feature Extraction Technique

Computer Aided COVID-19 Diagnosis in Pandemic Era Using CNN in Chest X-ray Images

A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough

An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration

A Scalo gram-based CNN Ensemble Method with Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

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