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Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications

Entropy (Basel, Switzerland), 2020-11, Vol.22 (12), p.1361

2020

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A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions

IEEE access, 2021, Vol.9, p.11358-11371

2021

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Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.8016525-8016525

2021

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Optimizing bandwidth utilization and traffic control in ISP networks for enhanced smart agriculture

PloS one, 2024-03, Vol.19 (3), p.e0300650-e0300650

2024

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Enhancing speaker identification through reverberation modeling and cancelable techniques using ANNs

PloS one, 2024-02, Vol.19 (2), p.e0294235-e0294235

2024

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Classification of retinal images based on convolutional neural network

Microscopy research and technique, 2021-03, Vol.84 (3), p.394-414

2021

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Simultaneous Super-Resolution and Classification of Lung Disease Scans

Diagnostics (Basel), 2023-04, Vol.13 (7), p.1319

2023

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Securing Internet-of-Medical-Things networks using cancellable ECG recognition

Scientific reports, 2024-05, Vol.14 (1), p.10871-10871, Article 10871

2024

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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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Investigation of Chaotic Image Encryption in Spatial and FrFT Domains for Cybersecurity Applications

IEEE access, 2020, Vol.8, p.42491-42503

2020

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Energy-Efficient Hybrid Framework for Green Cloud Computing

IEEE access, 2020, Vol.8, p.115356-115369

2020

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A review of channel selection algorithms for EEG signal processing

EURASIP journal on advances in signal processing, 2015-08, Vol.2015 (1), p.1-21, Article 66

2015

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Smart Health Monitoring System based on IoT and Cloud Computing

Menoufia Journal of Electronic Engineering Research, 2019-12, Vol.28 (1), p.37-42

2019

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Ensemble Machine Learning Techniques Using Computer Simulation Data for Wild Blueberry Yield Prediction

IEEE access, 2022, Vol.10, p.64671-64687

2022

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Efficiently Encrypting Color Images With Few Details Based on RC6 and Different Operation Modes for Cybersecurity Applications

IEEE access, 2020, Vol.8, p.103200-103218

2020

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Deep‐learning‐based seizure detection and prediction from electroencephalography signals

International journal for numerical methods in biomedical engineering, 2022-06, Vol.38 (6), p.e3573-n/a

2022

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Permutation-substitution image encryption scheme based on a modified chaotic map in transform domain

Journal of Central South University, 2017-09, Vol.24 (9), p.2049-2057

2017

Volltextzugriff (PDF)

Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities

IEEE access, 2021, Vol.9, p.94780-94788

2021

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Utilization of image interpolation and fusion in brain tumor segmentation

International journal for numerical methods in biomedical engineering, 2021-08, Vol.37 (8), p.e3449-n/a

2021

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Efficient HEVC Integrity Verification Scheme for Multimedia Cybersecurity Applications

IEEE access, 2020, Vol.8, p.167069-167089

2020

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Multi-Objective Evolution of Strong S-Boxes Using Non-dominated Sorting Genetic Algorithm-II and Chaos for Secure Telemedicine

IEEE access, 2022, Vol.10, p.1-1

2022

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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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Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

Viruses, 2020-07, Vol.12 (7), p.769

2020

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Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images

Journal of King Saud University. Science, 2022-04, Vol.34 (3), p.101898-101898, Article 101898

2022

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Image Retrieval using Convolutional Autoencoder, InfoGAN, and Vision Transformer Unsupervised Models

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

2023

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Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications

A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions

Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications

Optimizing bandwidth utilization and traffic control in ISP networks for enhanced smart agriculture

Enhancing speaker identification through reverberation modeling and cancelable techniques using ANNs

Classification of retinal images based on convolutional neural network

Simultaneous Super-Resolution and Classification of Lung Disease Scans

Securing Internet-of-Medical-Things networks using cancellable ECG recognition

Deep convolutional neural networks for COVID‐19 automatic diagnosis

Investigation of Chaotic Image Encryption in Spatial and FrFT Domains for Cybersecurity Applications

Energy-Efficient Hybrid Framework for Green Cloud Computing

A review of channel selection algorithms for EEG signal processing

Smart Health Monitoring System based on IoT and Cloud Computing

Ensemble Machine Learning Techniques Using Computer Simulation Data for Wild Blueberry Yield Prediction

Efficiently Encrypting Color Images With Few Details Based on RC6 and Different Operation Modes for Cybersecurity Applications

Deep‐learning‐based seizure detection and prediction from electroencephalography signals

Permutation-substitution image encryption scheme based on a modified chaotic map in transform domain

Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities

Utilization of image interpolation and fusion in brain tumor segmentation

Efficient HEVC Integrity Verification Scheme for Multimedia Cybersecurity Applications

Multi-Objective Evolution of Strong S-Boxes Using Non-dominated Sorting Genetic Algorithm-II and Chaos for Secure Telemedicine

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

Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images

Image Retrieval using Convolutional Autoencoder, InfoGAN, and Vision Transformer Unsupervised Models

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