بینایی کامپیوتر و تحلیل تصویر برای صنعت 4.0 ۲۰۲۳
Computer Vision and Image Analysis for Industry 4.0 2023

1. Cover Page

2. Half-Title Page

3. Title Page

4. Copyright Page

5. Dedication Page

6. Contents

7. Preface

8. Contributors

9. Editors

10. Chapter 1 ◾ BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation

11. Chapter 2 ◾ A New Approach Using a Convolutional Neural Network for Crop and Weed Classification

12. Chapter 3 ◾ Lemon Fruit Detection and Instance Segmentation in an Orchard Environment Using Mask R-CNN and YOLOv5

13. Chapter 4 ◾ A Deep Learning Approach in Detailed Fingerprint Identification

14. Chapter 5 ◾ Probing Skin Lesions and Performing Classification of Skin Cancer Using EfficientNet while Resolving Class Imbalance Using SMOTE

15. Chapter 6 ◾ Advanced GradCAM++: Improved Visual Explanations of CNN Decisions in Diabetic Retinopathy

16. Chapter 7 ◾ Bangla Sign Language Recognition Using a Concatenated BdSL Network

17. Chapter 8 ◾ ChestXRNet: A Multi-class Deep Convolutional Neural Network for Detecting Abnormalities in Chest X-Ray Images

18. Chapter 9 ◾ Achieving Human Level Performance on the Original Omniglot Challenge

19. Chapter 10 ◾ A Real-Time Classification Model for Bengali Character Recognition in Air-Writing

20. Chapter 11 ◾ A Deep Learning Approach for Covid-19 Detection in Chest X-Rays

21. Chapter 12 ◾ Automatic Image Captioning Using Deep Learning

22. Chapter 13 ◾ A Convolutional Neural Network Based Approach to Recognize Bangla Handwritten Characters

23. Chapter 14 ◾ Flood Region Detection Based on K-Means Algorithm and Color Probability

24. Chapter 15 ◾ Fabrication of Smart Eye Controlled Wheelchair for Disabled Person

25. Index