Convolutional Neural Networks
The content under this category explores various applications and advancements in convolutional neural networks (CNNs) across multiple fields including computer vision, healthcare, and waste management. It covers studies on image classification, medical diagnostics, automated detection systems, and the evolution of AI technologies. Topics include performance evaluation of different CNN architectures, the integration of AI in health-related applications, and innovations that address real-world challenges such as environmental issues and disease identification.
-
REAL-TIME MOBILE APP TRAFFIC SIGN RECOGNITION WITH YOLOV10 AND CNN FOR DRIVING EDUCATION
REAL-TIME MOBILE APP TRAFFIC SIGN RECOGNITION WITH YOLOV10 AND CNN FOR DRIVING EDUCATION1d ago, 0 views
1d ago, 0 viewsLike REAL-TIME MOBILE APP TRAFFIC SIGN RECOGNITION WITH YOLOV10 AND CNN FOR DRIVING EDUCATION SlideShare. Save REAL-TIME MOBILE APP TRAFFIC SIGN RECOGNITION WITH YOLOV10 AND CNN FOR DRIVING EDUCATION SlideShare. Share REAL-TIME MOBILE APP TRAFFIC SIGN RECOGNITION WITH YOLOV10 AND CNN FOR DRIVING EDUCATION SlideShare. -
Hemispheric Lateralization of Reward and Punishment Processing – A Neuromatch Project
Hemispheric Lateralization of Reward and Punishment Processing – A Neuromatch Project2w ago, 12 views
2w ago, 12 viewsLike Hemispheric Lateralization of Reward and Punishment Processing – A Neuromatch Project SlideShare. Save Hemispheric Lateralization of Reward and Punishment Processing – A Neuromatch Project SlideShare. Share Hemispheric Lateralization of Reward and Punishment Processing – A Neuromatch Project SlideShare. -
Enhancement of YOLOv5 for automatic weed detection through backbone optimization
Enhancement of YOLOv5 for automatic weed detection through backbone optimization2w ago, 9 views
2w ago, 9 views -
Imitation of the human upper limb by convolutional neural networks
Imitation of the human upper limb by convolutional neural networks3w ago, 0 views
3w ago, 0 views -
Automated diagnosis of brain tumor classification and segmentation of magnetic resonance imaging images
Automated diagnosis of brain tumor classification and segmentation of magnetic resonance imaging images1m ago, 2 views
1m ago, 2 viewsLike Automated diagnosis of brain tumor classification and segmentation of magnetic resonance imaging images SlideShare. Save Automated diagnosis of brain tumor classification and segmentation of magnetic resonance imaging images SlideShare. Share Automated diagnosis of brain tumor classification and segmentation of magnetic resonance imaging images SlideShare. -
ConciseCarNet: convolutional neural network for parking space classification
ConciseCarNet: convolutional neural network for parking space classification1m ago, 8 views
1m ago, 8 views -
Seeding precision: a mask region based convolutional neural networks classification approach for the classification of paddy seeds
Seeding precision: a mask region based convolutional neural networks classification approach for the classification of paddy seeds1m ago, 7 views
1m ago, 7 viewsLike Seeding precision: a mask region based convolutional neural networks classification approach for the classification of paddy seeds SlideShare. Save Seeding precision: a mask region based convolutional neural networks classification approach for the classification of paddy seeds SlideShare. Share Seeding precision: a mask region based convolutional neural networks classification approach for the classification of paddy seeds SlideShare. -
Deep Learning for Image Processing on 16 June 2025 MITS.pptx
Deep Learning for Image Processing on 16 June 2025 MITS.pptx1m ago, 220 views
1m ago, 220 views -
Deep Learning for Natural Language Processing_FDP on 16 June 2025 MITS.pptx
Deep Learning for Natural Language Processing_FDP on 16 June 2025 MITS.pptx1m ago, 279 views
1m ago, 279 views -
AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION
AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION2m ago, 9 views
2m ago, 9 viewsLike AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION SlideShare. Save AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION SlideShare. Share AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION SlideShare. -
Hybrid software defined network-based deep learning framework for enhancing internet of medical things cybersecurity
Hybrid software defined network-based deep learning framework for enhancing internet of medical things cybersecurity2m ago, 3 views
2m ago, 3 viewsLike Hybrid software defined network-based deep learning framework for enhancing internet of medical things cybersecurity SlideShare. Save Hybrid software defined network-based deep learning framework for enhancing internet of medical things cybersecurity SlideShare. Share Hybrid software defined network-based deep learning framework for enhancing internet of medical things cybersecurity SlideShare. -
Lip reading using deep learning in Turkish language
Lip reading using deep learning in Turkish language2m ago, 7 views
2m ago, 7 views -
AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION
AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION2m ago, 12 views
2m ago, 12 viewsLike AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION SlideShare. Save AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION SlideShare. Share AN INVESTIGATION INTO DETECTING PNEUMONIA THROUGH IMAGE PROCESSING AND OBJECT DETECTION SlideShare. -
Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps
Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps3m ago, 74 views
3m ago, 74 viewsLike Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps SlideShare. Save Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps SlideShare. Share Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps SlideShare. -
AE-ViT: Token Enhancement for Vision Transformers via CNN-Based Autoencoder Ensembles
AE-ViT: Token Enhancement for Vision Transformers via CNN-Based Autoencoder Ensembles5m ago, 25 views
5m ago, 25 viewsLike AE-ViT: Token Enhancement for Vision Transformers via CNN-Based Autoencoder Ensembles SlideShare. Save AE-ViT: Token Enhancement for Vision Transformers via CNN-Based Autoencoder Ensembles SlideShare. Share AE-ViT: Token Enhancement for Vision Transformers via CNN-Based Autoencoder Ensembles SlideShare. -
Deep Learning Certification for Mastery | IABAC
Deep Learning Certification for Mastery | IABAC5m ago, 8 views
5m ago, 8 views -
AE-ViT: Token Enhancement for Vision Transformers via CNN-based Autoencoder Ensembles
AE-ViT: Token Enhancement for Vision Transformers via CNN-based Autoencoder Ensembles6m ago, 15 views
6m ago, 15 viewsLike AE-ViT: Token Enhancement for Vision Transformers via CNN-based Autoencoder Ensembles SlideShare. Save AE-ViT: Token Enhancement for Vision Transformers via CNN-based Autoencoder Ensembles SlideShare. Share AE-ViT: Token Enhancement for Vision Transformers via CNN-based Autoencoder Ensembles SlideShare. -
A survey of detecting leaf diseases using machine learning and deep learning in various crops
A survey of detecting leaf diseases using machine learning and deep learning in various crops7m ago, 48 views
7m ago, 48 viewsLike A survey of detecting leaf diseases using machine learning and deep learning in various crops SlideShare. Save A survey of detecting leaf diseases using machine learning and deep learning in various crops SlideShare. Share A survey of detecting leaf diseases using machine learning and deep learning in various crops SlideShare.
