2 papers
cs.SD2026
Speech Emotion Recognition Using MFCC Features and LSTM-Based Deep Learning Model
Adelekun Oluwademilade, Ademola Adedamola, Abiola Abdulhakeem +7
Speech Emotion Recognition (SER) is the use of machines to detect the emotional state of humans based on the speech, which is gaining importance in natural human-computer interacti…
cs.CV2024
Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Kamorudeen A. Amuda, Almustapha A. Wakili
This study introduces a federated learning-based approach to predict HER2 status from hematoxylin and eosin (HE)-stained whole slide images (WSIs), reducing costs and speeding up t…