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HOW MACHINE LEARNING ALGORITHMS ARE USED IN METEOROLOGICAL DATA CLASSIFICATION: A COMPARATIVE APPROACH BETWEEN DT, LMT, M5-MT, GRADIENT BOOSTING AND GWLM-NARX MODELS

Applied Computer Science (Lublin), 2022-12, Vol.18 (4), p.16-27

2022

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Optimizing Cardiovascular Disease Prediction: A Synergistic Approach of Grey Wolf Levenberg Model and Neural Networks

Journal of information systems engineering and business intelligence, 2023-11, Vol.9 (2), p.119-135

2023

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GWLM–NARX

Data technologies and applications, 2020-03, Vol.54 (1), p.85-102

2020

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An Intelligent Prediction System for Educational Data Mining Based on Ensemble and Filtering approaches

Procedia computer science, 2020, Vol.167, p.1471-1483

2020

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Data gaps, tenuity and measurement challenges in achieving sustainable maternal child healthcare ecosystem: an evidence based statistical evaluation

Multidisciplinary Reviews, 2023-08, Vol.6 (3), p.2023024

2023

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Numerical and Experimental Investigation of Meteorological Data Using Adaptive Linear M5 Model Tree for the Prediction of Rainfall

Review of Computer Engineering Research, 2022-04, Vol.9 (1), p.1-12

2022

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Deep Neural Network Model for Identification of Predictive Variables and Evaluation of Student’s Academic Performance

Revue d'Intelligence Artificielle, 2021-10, Vol.35 (5), p.409-415

2021

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Hard Voting Meta Classifier for Disease Diagnosis using Mean Decrease in Impurity for Tree Models

Review of Computer Engineering Research, 2022-06, Vol.9 (2), p.71-82

2022

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An Application of Traditional and Ensemble Machine Learning Approaches to Redefine Thyroid Disorder Diagnosis

Mathematical Modelling of Engineering Problems, 2024-09, Vol.11 (9), p.2437-2446

2024

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A Novel Ensemble Deep Learning Model for Coronary Heart Disease Prediction

Revue d'Intelligence Artificielle, 2022-12, Vol.36 (6), p.825-832

2022

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IMPROVING CORONARY HEART DISEASE PREDICTION BY OUTLIER ELIMINATION

Applied Computer Science (Lublin), 2022-03, Vol.18 (1), p.70-88

2022

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IMPROVING CORONARY HEART DISEASE PREDICTION BY OUTLIER ELIMINATION

Applied Computer Science (Lublin), 2022-03, Vol.18 (1), p.70-88

2022

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A comprehensive analysis of deep learning techniques for effective heart disease prediction

AIP Conference Proceedings, 2023, Vol.2782 (1)

2023

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To Ameliorate Classification Accuracy using Ensemble Distributed Decision Tree (DDT) Vote Approach: An Empirical discourse of Geographical Data Mining

Procedia computer science, 2021, Vol.184, p.935-940

2021

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Using Ensemble StackingC Method and Base Classifiers to Ameliorate Prediction Accuracy of Pedagogical Data

Procedia computer science, 2018, Vol.132, p.1021-1040

2018

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Analytical Study of Breast Cancer and Treatment Techniques

Procedia computer science, 2024, Vol.235, p.578-587

2024

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Is Deep Learning on Tabular Data Enough? An Assessment

International journal of advanced computer science & applications, 2022, Vol.13 (4)

2022

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Tools and Techniques in Knowledge Discovery in Academia: A Theoretical Discourse

International Journal of Data Mining And Emerging Technologies, 2017, Vol.7 (1), p.1

2017

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How Machine Learning is Redefining Agricultural Sciences: An Approach to Predict Apple Crop Production of Kashmir Province

Revue d'Intelligence Artificielle, 2023-04, Vol.37 (2), p.501-507

2023

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Grey Wolf-Based Linear Regression Model for Rainfall Prediction

International journal of information technologies and systems approach, 2022-01, Vol.15 (1), p.1-18

2022

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Attention Res-UNet: Attention Residual UNet With Focal Tversky Loss for Skin Lesion Segmentation

International journal of decision support system technology, 2023-01, Vol.15 (1), p.1-17

2023

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Analogical Study of Activation Concept in Neural Networks with Neat- Python Module

Revue d'Intelligence Artificielle, 2023-04, Vol.37 (2), p.249-256

2023

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Enterprise Data Backup & Recovery: A Generic Approach

IOSR Journal of Engineering, 2013-05, Vol.3 (5), p.40-42

Zaman, Majid

2013

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How M5 Model Trees (M5-MT) on Continuous Data Are Used in Rainfall Prediction: An Experimental Evaluation

Revue d'Intelligence Artificielle, 2022-06, Vol.36 (3), p.409-415

2022

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An Ensemble Random Forest Algorithm for Privacy Preserving Distributed Medical Data Mining

International journal of e-health and medical communications, 2021-11, Vol.12 (6), p.1-23

2021

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HOW MACHINE LEARNING ALGORITHMS ARE USED IN METEOROLOGICAL DATA CLASSIFICATION: A COMPARATIVE APPROACH BETWEEN DT, LMT, M5-MT, GRADIENT BOOSTING AND GWLM-NARX MODELS

Optimizing Cardiovascular Disease Prediction: A Synergistic Approach of Grey Wolf Levenberg Model and Neural Networks

GWLM–NARX

An Intelligent Prediction System for Educational Data Mining Based on Ensemble and Filtering approaches

Data gaps, tenuity and measurement challenges in achieving sustainable maternal child healthcare ecosystem: an evidence based statistical evaluation

Numerical and Experimental Investigation of Meteorological Data Using Adaptive Linear M5 Model Tree for the Prediction of Rainfall

Deep Neural Network Model for Identification of Predictive Variables and Evaluation of Student’s Academic Performance

Hard Voting Meta Classifier for Disease Diagnosis using Mean Decrease in Impurity for Tree Models

An Application of Traditional and Ensemble Machine Learning Approaches to Redefine Thyroid Disorder Diagnosis

A Novel Ensemble Deep Learning Model for Coronary Heart Disease Prediction

IMPROVING CORONARY HEART DISEASE PREDICTION BY OUTLIER ELIMINATION

IMPROVING CORONARY HEART DISEASE PREDICTION BY OUTLIER ELIMINATION

A comprehensive analysis of deep learning techniques for effective heart disease prediction

To Ameliorate Classification Accuracy using Ensemble Distributed Decision Tree (DDT) Vote Approach: An Empirical discourse of Geographical Data Mining

Using Ensemble StackingC Method and Base Classifiers to Ameliorate Prediction Accuracy of Pedagogical Data

Analytical Study of Breast Cancer and Treatment Techniques

Is Deep Learning on Tabular Data Enough? An Assessment

Tools and Techniques in Knowledge Discovery in Academia: A Theoretical Discourse

How Machine Learning is Redefining Agricultural Sciences: An Approach to Predict Apple Crop Production of Kashmir Province

Grey Wolf-Based Linear Regression Model for Rainfall Prediction

Attention Res-UNet: Attention Residual UNet With Focal Tversky Loss for Skin Lesion Segmentation

Analogical Study of Activation Concept in Neural Networks with Neat- Python Module

Enterprise Data Backup & Recovery: A Generic Approach

How M5 Model Trees (M5-MT) on Continuous Data Are Used in Rainfall Prediction: An Experimental Evaluation

An Ensemble Random Forest Algorithm for Privacy Preserving Distributed Medical Data Mining

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