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Deep convolutional neural networks for COVID‐19 automatic diagnosis

Microscopy research and technique, 2021-11, Vol.84 (11), p.2504-2516

2021

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A survey of traditional and advanced automatic modulation classification techniques, challenges, and some novel trends

International journal of communication systems, 2021-07, Vol.34 (10), p.n/a

2021

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E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches

Sensors (Basel, Switzerland), 2023-05, Vol.23 (9), p.4467

2023

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A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2281

2022

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Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models

Applied sciences, 2021-07, Vol.11 (14), p.6446

2021

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An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks

IEEE access, 2022, Vol.10, p.2700-2720

2022

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Securing web applications against XSS and SQLi attacks using a novel deep learning approach

Scientific reports, 2024-01, Vol.14 (1), p.1803-1803, Article 1803

2024

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Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach

Sensors (Basel, Switzerland), 2023-04, Vol.23 (9), p.4365

2023

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PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning

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

2023

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Deep Transfer Learning Based Parkinson's Disease Detection Using Optimized Feature Selection

IEEE access, 2023, Vol.11, p.3511-3524

2023

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A Hybrid Compressive Sensing and Classification Approach for Dynamic Storage Management of Vital Biomedical Signals

IEEE access, 2023, Vol.11, p.108126-108151

2023

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GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach

IEEE access, 2023, Vol.11, p.97605-97624

2023

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Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems

International journal for numerical methods in biomedical engineering, 2022-01, Vol.38 (1), p.e3530-n/a

2022

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Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness

IEEE access, 2023, Vol.11, p.132196-132222

2023

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Sketch-Based Retrieval Approach Using Artificial Intelligence Algorithms for Deep Vision Feature Extraction

Axioms, 2022-12, Vol.11 (12), p.663

2022

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Performance Analysis of 3D Video Transmission Over Deep-Learning-Based Multi-Coded N-ary Orbital Angular Momentum FSO System

IEEE access, 2021, Vol.9, p.110116-110136

2021

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CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications

Journal of ambient intelligence and humanized computing, 2022-02, Vol.14 (9), p.11715-11727

2022

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Deep learning-based hair removal for improved diagnostics of skin diseases

Multimedia tools and applications, 2024-03, Vol.83 (9), p.27331-27355

2024

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Medical image enhancement algorithms using deep learning-based convolutional neural network

Journal of optics (New Delhi), 2023-12, Vol.52 (4), p.1931-1941

2023

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Improving traditional method used for medical image fusion by deep learning approach-based convolution neural network

Journal of optics (New Delhi), 2023-12, Vol.52 (4), p.2253-2263

2023

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A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

Multimedia tools and applications, 2024, Vol.83 (2), p.4241-4307

2024

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Applying medical image fusion based on a simple deep learning principal component analysis network

Multimedia tools and applications, 2024, Vol.83 (2), p.5971-6003

2024

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Traditional and deep-learning-based denoising methods for medical images

Multimedia tools and applications, 2024-05, Vol.83 (17), p.52061-52088

2024

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Deep-learning-based super-resolution and classification framework for skin disease detection applications

Optical and quantum electronics, 2023-05, Vol.55 (5), Article 427

2023

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Automated diagnosis of EEG abnormalities with different classification techniques

Medical & biological engineering & computing, 2023-12, Vol.61 (12), p.3363-3385

2023

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Deep convolutional neural networks for COVID‐19 automatic diagnosis

A survey of traditional and advanced automatic modulation classification techniques, challenges, and some novel trends

E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches

A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices

Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models

An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks

Securing web applications against XSS and SQLi attacks using a novel deep learning approach

Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach

PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning

Deep Transfer Learning Based Parkinson's Disease Detection Using Optimized Feature Selection

A Hybrid Compressive Sensing and Classification Approach for Dynamic Storage Management of Vital Biomedical Signals

GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach

Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems

Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness

Sketch-Based Retrieval Approach Using Artificial Intelligence Algorithms for Deep Vision Feature Extraction

Performance Analysis of 3D Video Transmission Over Deep-Learning-Based Multi-Coded N-ary Orbital Angular Momentum FSO System

CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications

Deep learning-based hair removal for improved diagnostics of skin diseases

Medical image enhancement algorithms using deep learning-based convolutional neural network

Improving traditional method used for medical image fusion by deep learning approach-based convolution neural network

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

Applying medical image fusion based on a simple deep learning principal component analysis network

Traditional and deep-learning-based denoising methods for medical images

Deep-learning-based super-resolution and classification framework for skin disease detection applications

Automated diagnosis of EEG abnormalities with different classification techniques

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