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3. Fast-RCNN Coupled Four-Dense Layered Deep Fully Connected Neural Network-Based Insulator Chain Defect Defection

4. Multi-layered Object Identification and Detection Using Deep CNN Detector

5. An Optimized Eight-Layer Convolutional Neural Network Based on Blocks for Chinese Fingerspelling Sign Language Recognition

6. Benchmarking Facial Emotion Recognition Models Using Deep Learning: A Comparative Study

8. Flower Disease Detection Using CNN

9. An Efficient COVID-19-Based Disease Detection on X-Ray Images Using CNN Model

10. Ms-AMPool: Down-Sampling Method for Dense Prediction Tasks

12. Graph-Level Representations Using Ensemble-Based Readout Functions

13. Handwritten Character Recognition from Image Using CNN

15. MPool: Motif-Based Graph Pooling

16. SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition

18. Fluorescein Angiography

19. Rotation Invariant Convolutional Neural Network Based on Orientation Pooling and Covariance Pooling

20. Railroad Segmentation Using Modified UNet

28. Analysis of Innovative Projects of Early Development Stages Using Neural Networks

29. CNN-Based Iris Recognition System Under Different Pooling

30. An Efficient Image-Based Skin Cancer Classification Framework Using Neural Network

31. HCRNN: A Novel Architecture for Fast Online Handwritten Stroke Classification

32. On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis

35. Pixel-Semantic Revising of Position: One-Stage Object Detector with Shared Encoder-Decoder

38. Face Identification via Strategic Combination of Local Features

39. Randomised vs. Prioritised Pools for Relevance Assessments: Sample Size Considerations

42. An Efficient Heuristic for Pooled Repair Shop Designs

43. On Proper Designing of Deep Structures for Image Classification

44. Learnable Pooling Methods for Video Classification

48. Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks

49. GoodsPooling: An Intelligent Approach for Urban Logistics

50. A Study on the Cardinality of Ordered Average Pooling in Visual Recognition

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