Measurement of Acute Pain in the Pediatric Emergency Department Through Automatic Detection of Behavioral Parameters
We propose a camera-based system to provide an objective, contactless assessment of pain in children aged less than 3 years.... Read more.
AI-Based Facial Emotion Analysis for Early and Differential Diagnosis of Dementia
Early and differential diagnosis of dementia is essential for timely and targeted care. This study investigated the feasibility of using an artificial intelligence... Read more.
Automatic Detection of Cognitive Impairment Through Facial Emotion Analysis
Altered facial expressivity is frequently recognized in cognitively impaired individuals, we proposea study based on facial emotion analysis.... Read more.
Diagnostic efficacy of large language models in the pediatric emergency department: a pilot study
We aimed to assess LLM-based chatbots performance in realistic PED scenarios, and to explore their use as diagnosis-making assistants in pediatric emergency.... Read more.
A Distributed Event-Orchestrated Digital Twin Architecture for Optimizing Energy-Intensive Industries
Distributed architecture designed to spawn digital twin solutions to improve energy efficiency in energy-intensive industrial scenarios.... Read more.
Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning
A deep learning framework for newborn pain assessment based on facial expression analysis, of the Neonatology Department.... Read more.
AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0
The progress made in human-centered AI systems for Industry 5.0 marks a new phase in industrialization.... Read more.
Deep Learning for Real-Time Neural Decoding of Grasp
This paper presents a deep learning-based approach for decoding neural signals to classify grip types.... Read more.
Designing Logic Tensor Networks for Visual Sudoku puzzle classification
We analyze the application of logical tensor networks to the task of visual Sudoku classification and discuss various alternatives.... Read more.
EMoCy: Towards Physiological Signals-Based Stress Detection
Early detection of stress can prevent long-term consequences for people's health, the economy, and society.... Read more.
DECAY CLASSIFICATION USING ARTIFICIAL INTELLIGENCE
DECAY uses machine learning algorithms to identify materials, deterioration, or surface defects in an object in a semi-automated manner.... Read more.
Photogrammetric Survey for a Fast Construction of Synthetic Dataset
In this work we show how Physically Based Rendering tools can be used to extend the training image datasets of Machine Learning algorithms.... Read more.
