A hierarchical classification model based on a 1D convolutional neural network (CNN) was proposed for signal analysis, and K-fold cross-validation was used to train and validate the model. Unlike ...

Lucknow: Class X student Visharad Upadhyay, who created an AI model to detect and classify spinal lesion using Convolutional ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

Our research introduces ADSiamNet, a 1D Convolutional Neural Network-based Siamese network model for anomaly detection and rectification. ADSiamNet effectively identifies localized patterns in ...

This project demonstrates image classification on the CIFAR-10 dataset using a Deep Neural Network ... (MLP), without using any Convolutional Neural Networks (CNNs). The key objective of this case ...

More traditional super-resolution techniques can lead to artifacts and bugs in the eventual picture ... changes is the shift from a convolutional neural network (CNN) to a Transformer-based ...