TriTower-m6Am Deep Learning Architecture Improves RNA Modification Site Prediction
Researchers have introduced TriTower-m6Am, a heterogeneous deep learning architecture that integrates semantic, sequential, and structural views of RNA to improve ...
Tag: graph convolutional networks
AI Model Reads Emotions From EEG by Tracking Brain Signals Across Space and Time
A new AI framework called DSE-TAM jointly models spatial relationships among EEG electrodes and temporal dynamics of brain activity, improving ...
Graph Convolutional Network Recognizes Martial Arts Categories on Edge Hardware
Researchers developed a multi-stream graph convolutional network and dataset to classify 13 martial arts categories on edge hardware, demonstrating development ...
Phase Normalization Enhances Graph Neural Network Accuracy in Hand Gesture Recognition
Researchers introduced Speed-Invariant Phase Normalization to eliminate temporal distortions and improve hand gesture recognition in graph convolutional networks.
Diffusion and graph networks improve music-conditioned dance generation and style control
A study using conditional diffusion, ST-GCN, cross-modal attention and AdaIN reported improved dance-generation quality, music synchronization and style control on ...
Hybrid Graph Capsule Network Boosts Link Prediction Accuracy by 9.1 Percent
A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent improvement in link ...
AI Model Reads News and Stock Networks Together to Forecast Market Swings
Researchers have built a deep learning model that fuses stock prices, technical indicators, financial news sentiment, and dynamically updated inter-stock ...
New Graph AI Learns Without Gradient Descent, Cutting Training Time Dramatically
Researchers at Fuzhou University have developed RCGELM-AE, a graph embedding model that trains in closed form without gradient descent while ...
Hybrid AI Parser Pairs Transformers with Graph Networks to Decode English Grammar
A new hybrid model called TG-Parser combines Transformer encoders with graph convolutional networks to achieve record-setting accuracy in English grammatical ...
AI Learns the Hidden Geometry of How We Walk to Identify People by Gait
Researchers have developed AGSL-Gait, a framework that learns adaptive graph structures from skeletal walking data to capture fine-grained joint dependencies, ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!