Reading impairments are common in stroke-induced aphasia and limit participation in functional and leisure activities. Traditional rehabilitation strategies show limited generalization, underscoring ...

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

This repository provides a PyTorch implementation of the research paper, Deep-Emotion. Note: This implementation is not the official one described in the paper.

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While social listening tools are widely used, they often fall short, providing only ...

Today, evaluating the extent to which artificial intelligence (AI) successfully gains a user’s trust is performed manually in analog ways as it long has been, through follow-up surveys, human-to-human ...

AI-enhanced prescriptive analytics is no longer optional — it’s the strategic engine behind real-time decisions, optimization and competitive edge in 2025. The world generated 181 zettabytes of data ...

Abstract: Real-time facial emotion recognition is a rapidly advancing field in computer vision and artificial intelligence with wide-ranging applications. This project implements a system for ...

Find the best facial recognition software with our comprehensive expert guide. Discover the top solutions for enhanced security and convenient identification. Biometric security technologies such as ...