Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar
Leida xuebaoThrough-wall human pose reconstruction and behavior recognition have enormous potential in fields like intelligent security and virtual reality. However, existing methods for through-wall human sensing often fail to adequately model four-Dimensional (4D)
Rui ZHANG +7 more
doaj +1 more source
Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning
, 2019 This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids.
Arghandeh, Reza +3 more
core
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network [PDF]
arXiv, 2019 Motion Planning, as a fundamental technology of automatic navigation for the autonomous vehicle, is still an open challenging issue in the real-life traffic situation and is mostly applied by the model-based approaches. However, due to the complexity of the traffic situations and the uncertainty of the edge cases, it is hard to devise a general motion ...
arxiv
Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations. [PDF]
Front Artif Intell, 2021 ElSaadani M +3 more
europepmc +1 more source
Mechanochemistry: Fundamental Principles and Applications
Advanced Science, EarlyView.In this review, the physicochemical principles of mechanochemistry are first clarified. Based on this foundation, the research basis and cutting‐edge scientific achievements in four areas are introduced: solid‐state organic chemistry, polymers, interface science, and biomechanochemistry.
Liang Dong +4 more
wiley +1 more source
Improving LSTM hydrological modeling with spatiotemporal deep learning and multi-task learning: A case study of three mountainous areas on the Tibetan Plateau [PDF]
, 2023 Bu Li +6 more
openalex +1 more source
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
IEEE Transactions on Pattern Analysis and Machine IntelligenceTPAMI 2024.
Matthew Kowal +5 more
openaire +3 more sources
Deep Learning‐Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording
Advanced Science, Volume 12, Issue 12, March 27, 2025.The study introduces an AI framework for analyzing ion channel kinetics in whole‐cell recordings, integrating machine learning for anomaly detection and deep learning for multi‐class classification. Achieving 97.58% accuracy after validation, the framework is applied to drug screening for Alzheimer's disease and nanomatrix‐induced neuronal ...
Shengjie Yang +7 more
wiley +1 more source
Sensory Encoding Alternates With Hippocampal Ripples across Cycles of Forebrain Spiking Cascades
Advanced Science, Volume 12, Issue 16, April 24, 2025.This study reveals widespread, coordinated brain activity during passive visual stimulation in mice. Sensory coding, phase‐locked with the periodic dynamics, shows an inverse relationship to hippocampal ripples. The results suggest that periodic brain activity spurs alteration between two distinct operational modes of brain, facilitating exteroceptive ...
Yifan Yang +4 more
wiley +1 more source
Heart Failure Classification Using Deep Learning to Extract Spatiotemporal Features from ECG [PDF]
, 2023 Changjiang Zhang +5 more
openalex +1 more source