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Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language

Journal of intelligent systems, 2021-01, Vol.30 (1), p.774-792

2021

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ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog-Cloud

IEEE transactions on intelligent transportation systems, 2023-08, Vol.24 (8), p.8399-8408

2023

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Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks

Concurrency and computation, 2020-01, Vol.32 (1), p.n/a

2020

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Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images

Journal of medical systems, 2018-04, Vol.42 (4), p.58-12, Article 58

2018

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Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques

Neural computing & applications, 2020-02, Vol.32 (3), p.625-638

2020

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A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues

IEEE access, 2019, Vol.7, p.153123-153140

2019

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K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor

Soft computing (Berlin, Germany), 2019-10, Vol.23 (19), p.9083-9096

2019

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Effective hybrid deep learning model for COVID‐19 patterns identification using CT images

Expert systems, 2022-12, Vol.39 (10), p.e13010-n/a

2022

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Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images

Applied artificial intelligence, 2021-12, Vol.35 (15), p.2157-2203

2021

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Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment

Journal of King Saud University. Computer and information sciences, 2023-01, Vol.35 (1), p.1-12

2023

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Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion

Applied sciences, 2021-12, Vol.11 (24), p.12122

2021

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Automatic Facial Aesthetic Prediction Based on Deep Learning with Loss Ensembles

Applied sciences, 2023-09, Vol.13 (17), p.9728

2023

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An Ensemble DCNNs-Based Regression Model for Automatic Facial Beauty Prediction and Analyzation

Traitement du signal, 2023-02, Vol.40 (1), p.55-63

2023

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Case based Reasoning Shell Frameworkas Decision Support Tool

Indian journal of science and technology, 2016-11, Vol.9 (42)

2016

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Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach

Journal of computational science, 2017-05, Vol.20, p.61-69

2017

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ReID-DeePNet: A Hybrid Deep Learning System for Person Re-Identification

Mathematics (Basel), 2022-10, Vol.10 (19), p.3530

2022

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Human Interaction with Mobile Devices on Social Networks by Young and Elderly People: Iraq a Case Study

Indian journal of science and technology, 2016-11, Vol.9 (42)

2016

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Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images

Computers & electrical engineering, 2018-08, Vol.70, p.871-882

2018

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Solving vehicle routing problem by using improved genetic algorithm for optimal solution

Journal of computational science, 2017-07, Vol.21, p.255-262

2017

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Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma

Journal of computational science, 2017-07, Vol.21, p.263-274

2017

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Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature

Journal of computational science, 2017-07, Vol.21, p.283-298

2017

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2D Facial Images Attractiveness Assessment Based on Transfer Learning of Deep Convolutional Neural Networks

2022 4th International Conference on Advanced Science and Engineering (ICOASE), 2022, p.13-18

2022

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Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution

Journal of computational science, 2017-07, Vol.21, p.232-240

2017

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Genetic case-based reasoning for improved mobile phone faults diagnosis

Computers & electrical engineering, 2018-10, Vol.71, p.212-222

2018

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Retraction Note: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques

Neural computing & applications, 2024-06, Vol.36 (16), p.9607-9608

2024

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Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language

ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog-Cloud

Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images

Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques

A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues

K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor

Effective hybrid deep learning model for COVID‐19 patterns identification using CT images

Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images

Bio-inspired robotics enabled schemes in blockchain-fog-cloud assisted IoMT environment

Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion

Automatic Facial Aesthetic Prediction Based on Deep Learning with Loss Ensembles

An Ensemble DCNNs-Based Regression Model for Automatic Facial Beauty Prediction and Analyzation

Case based Reasoning Shell Frameworkas Decision Support Tool

Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach

ReID-DeePNet: A Hybrid Deep Learning System for Person Re-Identification

Human Interaction with Mobile Devices on Social Networks by Young and Elderly People: Iraq a Case Study

Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images

Solving vehicle routing problem by using improved genetic algorithm for optimal solution

Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma

Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature

2D Facial Images Attractiveness Assessment Based on Transfer Learning of Deep Convolutional Neural Networks

Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution

Genetic case-based reasoning for improved mobile phone faults diagnosis

Retraction Note: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques

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