On a day meant for family and rest, a father’s holiday joy turned to fear in Texas when his 15-year-old daughter ...

In this video, we will understand the complete CNN Architecture. A CNN architecture represents the design of the CNN. CNN ...

Tested on a cross-country trip, we review the Briggs & Riley ZDX luggage collection — including backpacks, carry-ons and spinners — to see if its durability, smart design and lifetime warranty make it ...

This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...

Abstract: Convolutional Neural Networks (CNNs) have become instrumental in advancing image classification, particularly in the context of garbage image classification, a critical component for ...

Abstract: Knee osteoarthritis, often known as KOA, is a degenerative joint condition that lasts for a long time and affects millions of people around the world and has a big effect on their mental and ...

Abstract: Convolutional neural networks (CNNs) are a powerful tool for various computer vision tasks, demonstrating exceptional performance in image classification, object detection, and segmentation.

This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...