Laura Jackson Returns to Host CNN’s Global Culture Show ‘Seasons’ (EXCLUSIVE)

British TV broadcaster Laura Jackson will host four new episodes of Seasons for CNN, with the first focusing on women ...

Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
IEEE

Mask R-CNN-Based Detection and Segmentation for Pulmonary Nodule 3D Visualization Diagnosis

Abstract: 3D visualization diagnosis for pulmonary nodule detection and segmentation is becoming a promising topic in the field of surgical researches and applications. Aiming at assisting ...
GitHub

Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation

Supervised Training: We train both ViT and CNN branches on labeled samples. Finding To Conquering Strategy (FTC): We find class-specific boundaries based on the fixed ViT Encoder E1 by maximizing ...
IEEE

Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features

Abstract: Convolutional neural networks (CNNs) are increasingly being explored and used for a variety of classification tasks in medical imaging, but current methods for post hoc explainability are ...
CNN

Meet the team behind CNN’s famous ‘Magic Wall’

Editor’s Note: This story originally appeared in the “Inside CNN” newsletter. Create a free CNN account to access this weekly newsletter and much more. CNN’s John King has become synonymous with the ...
Frontiers

Music aesthetic teaching and emotional visualization under emotional teaching theory and deep learning

The study aims to overcome the shortcomings of the traditional music teaching system, for it cannot analyze the emotions of music works and does not have the advantages in music aesthetic teaching.
GitHub

Phi-OTDR_dataset_and_codes

This dataset contains six types of Phi-OTDR events, including background noises, digging, knocking, shaking, watering and walking, in total of 15,419 samples. The data is divided into training set and ...
Frontiers

Deep Learning Based Emotion Recognition and Visualization of Figural Representation

This exploration aims to study the emotion recognition of speech and graphic visualization of expressions of learners under the intelligent learning environment of the Internet. After comparing the ...