Deep Learning Insights | 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.

Machine Learning Lectures - Convolutional Neural Networks

byZahra Sadeghi

DCNet Adaptive Heart Diagnosis with AI（Zh-cn）

byliavkbomb2

Factorizing Transforms Computer Vision.pptx

byusmanjami

Flickr8k_Image_Captioning_Project_PPT.pptx

byvinothofficial14

2D Convolution in Digital Image Processing.pptx

byusmanjami

Artificial Intelligence Based Data Governance for Chinese Electronic Health Record Analysis

byIJDKP

application of Convolutional Neural Networks (CNN) for P-wave signal extraction in Distributed Acoustic Sensing (DAS) systems

bykiswanto ihsani

Convolutional Neural Networks(CNN) and Computer Vision

byadityasiwach20

Computer Vision And Convolutional Neural Networks (CNNs)

byadityasiwach20

Revolutionizing agricultural efficiency with advanced coconut harvesting automation

byIJICTJOURNAL

Design of a model for multistage classification of diabetic retinopathy and glaucoma

byIJICTJOURNAL

A convolution neural network model for knee osteoporosis classification using X-ray images

byTELKOMNIKA JOURNAL

Acceleration of convolutional neural network based diabetic retinopathy diagnosis system on field programmable gate array

byIJICTJOURNAL

Machine learning techniques for plant disease detection: an evaluation with a customized dataset

byIJICTJOURNAL

Computer vision adalah salah satu cabang ilmu kecerdasan buatan (AI) yang memungkinkan komputer dan sistem untuk "melihat", menganalisis, dan memahami informasi visual dari dunia nyata melalui gambar atau video.

byEdi Faizal

Music genre classification using Inception-ResNet architecture

byIAESIJAI

Classification of Tasikmalaya batik motifs using convolutional neural networks

byIAESIJAI

Urban incident detection based on hybrid convolutional neural networks and bidirectional long short-term memory

byIAESIJAI

Hybrid GAN-CNN Model for Brain Tumor Detecting and Classifying Diseases Based on MRI Images.

byBinAbdulla1

Imagery based plant disease detection using conventional neural networks and transfer learning

byIAESIJAI