To this end, the paper proposes an effective emotion recognition system using a representative geometric feature mask for feature extraction and a CNN model ... method to extract facial features with ...

for feature extraction and dataset dimensionality reduction to optimize inputs for the long short-term memory (LSTM) network. Subsequently, hyperparameters of the ATT-CNN-LSTM hybrid neural network ...

Discussion: A CNN-GRU-Attention hybrid deep learning model was constructed ... chairs by integrating advanced technologies (Wang and Xu, 2024). Emotional feature extraction serves as a crucial bridge ...

Two primary XAI approaches have been developed for deep learning: global and per-decision explainable AI algorithms (Phillips ... facilitate more intricate feature extraction, capturing subtle terrain ...

Now, Airbnb is returning to that vision of a full-service travel platform with new features, offerings and ... Business Officer Dave Stephenson told CNN in an interview ahead of the announcement ...

Kelly Spill didn’t cry when she was diagnosed with stage III rectal cancer at age 28. She held her emotions together when her surgeon told her that she might not be able to carry another baby ...

Showcase your company news with guaranteed exposure both in print and online Join us for an illuminating exploration of New Mexico's energy landscape at this years… Outstanding Women in Business ...

The national average price of a gallon of regular gas is a seven-year low, as only six states have an average price above $2 a gallon.

This project implements the methodology described in the paper "Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification." The key insight is that not all regions of a ...