Results 201 to 210 of about 84,629 (319)
Deep Learning-Driven Bus Short-Term OD Demand Prediction via a Physics-Guided Adaptive Graph Spatio-Temporal Attention Network. [PDF]
Cao Z, Song L, Zhang S, Sun J.
europepmc +1 more source
Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion
Menghui Jiang +5 more
openalex +1 more source
Spatiotemporal deep learning models for detection of rapid intensification in cyclones [PDF]
Vamshika Sutar +2 more
openalex +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data. [PDF]
Khan A +4 more
europepmc +1 more source
Deep Learning-based Event Data Coding: A Joint Spatiotemporal and Polarity Solution [PDF]
Abdelrahman Seleem +3 more
openalex +1 more source
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
A Review of Trans‐Dimensional Kirigami: From Compliant Mechanism to Multifunctional Robot
This review outlines recent advancements in the geometric design and mechanical properties of kirigami. The kirigami is classified into two categories from a compliant mechanism perspective, highlighting their applications in metamaterials and robotic systems. Finally, the future research directions, is explored focusing on the potential of integrating
Yang Yu +14 more
wiley +1 more source

