Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN.
Recent research highlights the use of Mel-spectrograms and neural networks for effective emotion recognition in speech. 📊🗣️
IoT-Based Elderly Health Monitoring System Using Firebase Cloud Computing.
Innovative IoT system enhances elderly health monitoring. Real-time data analysis improves care quality and user satisfaction. 📊👵💻
Evolving strategies in the diagnosis and treatment of HIV-associated neurocognitive disorders.
Recent advancements in diagnosing and treating HIV-associated neurocognitive disorders show promise for improved patient outcomes. 🧠✨
Ultrasound Beyond Joints: A Review of Extra-Articular Applications in Rheumatology.
Ultrasound plays a vital role in assessing extra-articular manifestations in rheumatic diseases. 🌟 Recent advancements enhance diagnostic accuracy. 🩺
Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol.
The MINERVA study explores machine learning to predict relapse risk in mild acute biliary pancreatitis patients. 🤖📊
The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study.
A new clinical decision support system for cardiovascular diseases enhances diagnosis and treatment through multimodal data integration. 🩺📊
Exploring the dynamics of Lotka-Volterra systems: Efficiency, extinction order, and predictive machine learning.
This article reviews Lotka-Volterra systems, revealing how trophic efficiency impacts species extinction and predicting outcomes using machine learning. 🌱📉
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.
New multi-view method, MERIT, enhances liver fibrosis staging accuracy and interpretability through evidential learning. 🏥📊
A Scoping Review of Artificial Intelligence for Precision Nutrition.
Artificial intelligence is transforming precision nutrition. 🤖🍏 Recent studies highlight its potential and address cultural factors.
Unveiling the ageing-related genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning.
Recent research highlights key ageing-related genes in diagnosing osteoarthritis with metabolic syndrome. Machine learning aids in identifying biomarkers. 🧬🔍