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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier

Computational intelligence and neuroscience, 2022, Vol.2022, p.3236305-13

2022

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Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation

Computational intelligence and neuroscience, 2022-06, Vol.2022, p.7973404-17

2022

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Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-10

2022

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Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-12

2022

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A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-12

2022

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Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)

Computational intelligence and neuroscience, 2022, Vol.2022, p.1797471-13

2022

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HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism

Computational intelligence and neuroscience, 2023, Vol.2023 (1), p.4725986-4725986

2023

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Investigation of the Differential Power of Young’s Internet Addiction Questionnaire Using the Decision Stump Tree

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-7

2022

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MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction

Computational intelligence and neuroscience, 2022, Vol.2022, p.4192367-10

2022

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Empirical Research on the Critical Success Factors of Construction Program

Computational intelligence and neuroscience, 2022, Vol.2022, p.9701963-8

2022

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Spectral Normalized CycleGAN with Application in Semisupervised Semantic Segmentation of Sonar Images

Computational intelligence and neuroscience, 2022, Vol.2022, p.1274260-12

2022

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Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

Computational intelligence and neuroscience, 2022, Vol.2022, p.1658615-13

2022

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On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

AI (Basel), 2021-09, Vol.2 (3), p.394-412

2021

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On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

Journal of imaging, 2021-08, Vol.7 (9), p.171

2021

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An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Journal of imaging, 2022-03, Vol.8 (3), p.66

2022

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YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

Journal of imaging, 2023-11, Vol.9 (12), p.266

2023

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On The Potential of Image Moments for Medical Diagnosis

Journal of imaging, 2023-03, Vol.9 (3), p.70

2023

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An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Information (Basel), 2024-06, Vol.15 (6), p.360

2024

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Research on Classification Method of Medical Ultrasound Image Processing Based on Neural Network

Computational intelligence and neuroscience, 2022-11, Vol.2022, p.1-15

2022

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A novel deep learning based approach for seed image classification and retrieval

Computers and electronics in agriculture, 2021-08, Vol.187, p.106269, Article 106269

2021

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Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

Knowledge-based systems, 2024-07, Vol.295, p.111833, Article 111833

2024

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Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario

Image Analysis and Processing - ICIAP 2023 Workshops, p.3-14

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A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set

Image Analysis and Processing – ICIAP 2022, p.358-370

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A Shallow Learning Investigation for COVID-19 Classification

Image Analysis and Processing. ICIAP 2022 Workshops, p.326-337

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A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home

2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, p.343-348

2022

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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier

Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation

Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features

A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set

Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)

HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism

Investigation of the Differential Power of Young’s Internet Addiction Questionnaire Using the Decision Stump Tree

MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction

Empirical Research on the Critical Success Factors of Construction Program

Spectral Normalized CycleGAN with Application in Semisupervised Semantic Segmentation of Sonar Images

Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

On The Potential of Image Moments for Medical Diagnosis

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Research on Classification Method of Medical Ultrasound Image Processing Based on Neural Network

A novel deep learning based approach for seed image classification and retrieval

Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario

A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set

A Shallow Learning Investigation for COVID-19 Classification

A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home

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