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23 works

Work: ImageNet classification with deep convolutional neural networks

  1. An Improvement of the Fire Detection and Classification Method Using YOLOv3 for Surveillance Systems

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  4. Efficient image classification through collaborative knowledge distillation: A novel AlexNet modification approach

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  5. An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images

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  7. Improved Face Detection Method via Learning Small Faces on Hard Images Based on a Deep Learning Approach

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  8. Automatic Classification and Diagnostic Analysis of Microscopic Blood Images Using R CNN Model

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  9. Parking Lot Occupancy Detection with Improved MobileNetV3

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  10. Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images

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  11. Early Poplar (Populus) Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique

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  12. Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

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  13. Enhanced AlexNet with Gabor and Local Binary Pattern Features for Improved Facial Emotion Recognition

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  14. Object Extraction-Based Comprehensive Ship Dataset Creation to Improve Ship Fire Detection

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  15. A multivariate binary decision tree classifier based on shallow neural network

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  16. What's in the box? Explaining the black-box model through an evaluation of its interpretable features

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  17. The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots

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  18. Learning mappings onto regularized latent spaces for biometric authentication

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  19. Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery

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  20. A brief history of AI: how to prevent another winter (a critical review)

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  21. Development of Intelligent Algorithms for Interpretation of Images of the Remote Image of the Earth

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  22. CURRENT ISSUES OF THE USE OF ARTIFICIAL INTELLIGENCE IN THE ACTIVITIES OF CUSTOMS AUTHORITIES

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  23. Brain tumor classification by CNN

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