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GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

IEEE access, 2021, Vol.9, p.14340-14350

2021

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Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning

IEEE access, 2022, Vol.10, p.42971-42982

2022

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A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure

BMC medical informatics and decision making, 2024-03, Vol.24 (1), p.60-60, Article 60

2024

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Optimized Convolutional Neural Network Models for Skin Lesion Classification

Computers, materials & continua, 2022, Vol.70 (2), p.2131-2148

2022

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COVID-19 detection in X-ray images using convolutional neural networks

Machine learning with applications, 2021-12, Vol.6, p.100138-100138, Article 100138

2021

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Preprocessing Strategy to Improve the Performance of Convolutional Neural Networks Applied to Steganalysis in the Spatial Domain

Journal of advances in information technology, 2024, Vol.15 (1), p.33-39

2024

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Classification of Alzheimer's disease stages from magnetic resonance images using deep learning

PeerJ. Computer science, 2023-08, Vol.9, p.e1490, Article e1490

2023

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Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain

PeerJ. Computer science, 2021-04, Vol.7, p.e451-e451, Article e451

2021

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Sensitivity of deep learning applied to spatial image steganalysis

PeerJ. Computer science, 2021-08, Vol.7, p.e616-e616, Article e616

2021

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Machine learning applications to predict two-phase flow patterns

PeerJ. Computer science, 2021-11, Vol.7, p.e798-e798, Article e798

2021

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Multi-subject Identification of Hand Movements Using Machine Learning

Sustainable Smart Cities and Territories, p.117-128

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SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms

Computers in biology and medicine, 2024-10, Vol.181, p.109022, Article 109022

2024

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A systematic review of vision transformers and convolutional neural networks for Alzheimer’s disease classification using 3D MRI images

Neural computing & applications, 2024-09

2024

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Clasificación de cáncer cervical usando redes neuronales convolucionales, transferencia de aprendizaje y aumento de datos

Revista EIA, 2021-06, Vol.18 (35), p.100-111

2021

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A simulation-based optimization model for quality control in solid waste collection process

Produção : uma publicação da Associação Brasileira de Engenharia de Produção, 2024, Vol.34

2024

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CVTStego-Net: A convolutional vision transformer architecture for spatial image steganalysis

Journal of information security and applications, 2024-03, Vol.81, p.103695, Article 103695

2024

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Preprocessing Strategy to Improve the Performance of Convolutional Neural Networks Applied to Steganalysis in the Spatial Domain

SSRN Electronic Journal, 2023

2023

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Epileptic Seizure Prediction Methods Using Machine Learning and Deep Learning Models

Trends in Sustainable Smart Cities and Territories, p.244-253

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Methodological Model for the Solution of Periodic Customer Scheduling in Routing Problems

Trends in Sustainable Smart Cities and Territories, p.207-218

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Digital media steganalysis

Digital Media Steganography, 2020

Hassaballah, Mahmoud

2020

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GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis

Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning

A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure

Optimized Convolutional Neural Network Models for Skin Lesion Classification

COVID-19 detection in X-ray images using convolutional neural networks

Preprocessing Strategy to Improve the Performance of Convolutional Neural Networks Applied to Steganalysis in the Spatial Domain

Classification of Alzheimer's disease stages from magnetic resonance images using deep learning

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain

Sensitivity of deep learning applied to spatial image steganalysis

Machine learning applications to predict two-phase flow patterns

Multi-subject Identification of Hand Movements Using Machine Learning

SpectroCVT-Net: A convolutional vision transformer architecture and channel attention for classifying Alzheimer’s disease using spectrograms

A systematic review of vision transformers and convolutional neural networks for Alzheimer’s disease classification using 3D MRI images

Clasificación de cáncer cervical usando redes neuronales convolucionales, transferencia de aprendizaje y aumento de datos

A simulation-based optimization model for quality control in solid waste collection process

CVTStego-Net: A convolutional vision transformer architecture for spatial image steganalysis

Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia

Preprocessing Strategy to Improve the Performance of Convolutional Neural Networks Applied to Steganalysis in the Spatial Domain

Epileptic Seizure Prediction Methods Using Machine Learning and Deep Learning Models

Methodological Model for the Solution of Periodic Customer Scheduling in Routing Problems

Digital media steganalysis

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