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Severely imbalanced Big Data challenges: investigating data sampling approaches

Journal of big data, 2019-11, Vol.6 (1), p.1-25, Article 107

2019

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A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models

Scientific reports, 2024-01, Vol.14 (1), p.386-386, Article 386

2024

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Biomedical Signals for Healthcare Using Hadoop Infrastructure with Artificial Intelligence and Fuzzy Logic Interpretation

Applied sciences, 2022-05, Vol.12 (10), p.5097

2022

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Investigating class rarity in big data

Journal of big data, 2020-03, Vol.7 (1), p.1-17, Article 23

2020

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Water agricultural management based on hydrology using machine learning techniques for feature extraction and classification

Acta geophysica, 2024-06, Vol.72 (3), p.1945-1955

2024

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Examining characteristics of predictive models with imbalanced big data

Journal of big data, 2019-07, Vol.6 (1), p.1-21, Article 69

2019

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Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model

IEEE access, 2023, Vol.11, p.71616-71623

2023

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Computer Aided Diagnosis for Gastrointestinal Cancer Classification using Hybrid Rice Optimization with Deep Learning

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

2023

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Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches

Applied bionics and biomechanics, 2021, Vol.2021, p.4520450-9

2021

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Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm

Applied bionics and biomechanics, 2021-11, Vol.2021, p.9014559-12

2021

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Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm

Diagnostics (Basel), 2022-11, Vol.12 (11), p.2844

2022

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Mathematical approach of fiber optics for renewable energy sources using general adversarial networks

Frontiers in ecology and evolution, 2023-02, Vol.11

2023

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A survey of open source tools for machine learning with big data in the Hadoop ecosystem

Journal of big data, 2015-11, Vol.2 (1), p.1-36, Article 24

2015

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LSTM-Based RNN Framework to Remove Motion Artifacts in Dynamic Multicontrast MR Images with Registration Model

Wireless communications and mobile computing, 2022-05, Vol.2022, p.1-12

2022

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A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs)

International journal of information security, 2024-02, Vol.23 (1), p.51-80

2024

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Correction: A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs)

International journal of information security, 2024-06, Vol.23 (3), p.2489-2489

2024

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Investigating Machine Learning Algorithms with Imbalanced Big Data

Hasanin, Tawfiq

2019

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ProQuest

Soft Computing Based Metaheuristic Algorithms for Resource Management in Edge Computing Environment

Computers, materials & continua, 2022, Vol.72 (3), p.5233-5250

2022

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Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2022, Volume 2

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The Effects of Random Undersampling with Simulated Class Imbalance for Big Data

2018 IEEE International Conference on Information Reuse and Integration (IRI), 2018, p.70-79

2018

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A Spatio-demographic Analysis Over Twitter Data Using Artificial Neural Networks

Emerging Technologies in Data Mining and Information Security, p.553-561

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An Empirical Study on Class Rarity in Big Data

2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018, p.785-790

2018

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IEEE_Xplore

Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection

2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), 2018, p.137-142

2018

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IEEE_Xplore

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data

2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService), 2019, p.346-356

2019

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A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data

2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI), 2019, p.83-88

2019

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Severely imbalanced Big Data challenges: investigating data sampling approaches

A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models

Biomedical Signals for Healthcare Using Hadoop Infrastructure with Artificial Intelligence and Fuzzy Logic Interpretation

Investigating class rarity in big data

Water agricultural management based on hydrology using machine learning techniques for feature extraction and classification

Examining characteristics of predictive models with imbalanced big data

Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model

Computer Aided Diagnosis for Gastrointestinal Cancer Classification using Hybrid Rice Optimization with Deep Learning

Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches

Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm

Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm

Mathematical approach of fiber optics for renewable energy sources using general adversarial networks

A survey of open source tools for machine learning with big data in the Hadoop ecosystem

LSTM-Based RNN Framework to Remove Motion Artifacts in Dynamic Multicontrast MR Images with Registration Model

A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs)

Correction: A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs)

Investigating Machine Learning Algorithms with Imbalanced Big Data

Soft Computing Based Metaheuristic Algorithms for Resource Management in Edge Computing Environment

Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2022, Volume 2

The Effects of Random Undersampling with Simulated Class Imbalance for Big Data

A Spatio-demographic Analysis Over Twitter Data Using Artificial Neural Networks

An Empirical Study on Class Rarity in Big Data

Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data

A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data

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