Výsledky vyhledávání - "ST-GCN algorithm"

Intelligent disassembly scenario understanding for human behavior and intention recognition towards self-perception human-robot collaboration system

Autoři: Xiao, Jinhua Wang, Bo Huang, Kaile a další

Zdroj: European Lighthouse to Manifest Trustworthy and Green AI (ENFIELD) Journal of manufacturing systems. 83:937-962

Témata: Disassembly system, End-of-life product, Human robot collaboration, Intent recognition, ST-GCN algorithm, Behavioral research, Collaborative robots, Intelligent robots, Man machine systems, Pattern recognition, Convolutional networks, Disassembly systems, End-of-life products, Human-robot collaboration, Intention recognition, Network algorithms, Spatial temporals, Spatial-temporal graph convolutional network algorithm, Temporal graphs, Inference engines, Virtual Production Development (VPD)

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-26015
https://doi.org/10.1016/j.jmsy.2025.11.012

Research on Human Action Detection and Recognition Methods Based on Interpretable Artificial Intelligence.

Autoři: Zhang, Heng Wang, Fa

Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p1143-1158, 16p

Témata: DEEP learning, ARTIFICIAL neural networks, ARTIFICIAL intelligence, HUMAN behavior, SPATIO-temporal variation

融合时空注意力的改进 ST-GCN人体动作识别 方法研究. (Chinese)

Alternate Title: Research on the improved ST-GCN method for human action recognition by integrating spatiotemporal attention. (English)

Autoři: 雷建云 梁钧 夏梦 a další

Zdroj: Journal of South-Central Minzu University (Natural Science Edition); 2025, Vol. 44 Issue 4, p526-535, 10p

Témata: HUMAN activity recognition, ALGORITHMS

Applying Deep Learning and Computer Vision Techniques for an e-Sport and Smart Coaching System Using a Multiview Dataset: Case of Shotokan Karate.

Autoři: Ait-Bennacer, Fatima-Ezzahra Aaroud, Abdessadek Akodadi, Khalid a další

Zdroj: International Journal of Online & Biomedical Engineering; 2022, Vol. 18 Issue 12, p35-53, 19p

Témata: DEEP learning, KARATE, COMPUTER vision, COACHING (Athletics), ARTIFICIAL intelligence, PRACTICE (Sports), COACHES (Athletics)

SPACE-TIME GRAPH-BASED CONVOLUTIONAL NEURAL NETWORKS OF STUDY ON MOVEMENT RECOGNITION OF FOOTBALL PLAYERS.

Autoři: Siming Tian Bingcheng Yin Lei Wang a další

Zdroj: International Journal of Industrial Engineering; 2023, Vol. 30 Issue 2, p451-462, 12p

Témata: SOCCER players, CONVOLUTIONAL neural networks, PATTERN recognition systems, DEEP learning, SPACETIME, SOCCER fields

基于姿态与时序特征的猪只行为识别方法. (Chinese)

Alternate Title: Recognizing pig behavior on posture and temporal features using computer vision. (English)

Autoři: 董力中 孟祥宝 潘 明 a další

Zdroj: Transactions of the Chinese Society of Agricultural Engineering; Mar2022, Vol. 38 Issue 5, p148-157, 10p

Témata: CONVOLUTIONAL neural networks, OBJECT recognition (Computer vision), VIDEO monitors, DEEP learning, COMPUTER vision, VIDEO excerpts, SPATIOTEMPORAL processes

Korporace: NVIDIA Corp.

Short-Term Road Traffic Flow Prediction Based on the KAN-CNN-BiLSTM Model with Spatio-Temporal Feature Integration.

Autoři: Yang, Xiang Cheng, Yongliang Xie, Xiaolan

Zdroj: Symmetry (20738994); Nov2025, Vol. 17 Issue 11, p1920, 22p

Témata: INTELLIGENT transportation systems, CONVOLUTIONAL neural networks, NONLINEAR dynamical systems, SPATIO-temporal variation, TRAFFIC estimation, ESTIMATION theory, LONG short-term memory

Research on Human Action Detection and Recognition Methods Based on Interpretable Artificial Intelligence

Autoři: Heng Zhang Fa Wang

Zdroj: Journal of Combinatorial Mathematics and Combinatorial Computing. :1143-1158

MRC-DETR: A High-Precision Detection Model for Electrical Equipment Protection in Power Operations.

Autoři: Li, Shenwang Zhou, Yuyang Wang, Minjie a další

Zdroj: Sensors (14248220); Jul2025, Vol. 25 Issue 13, p4152, 25p

Témata: PERSONAL protective equipment, ELECTRICITY safety, ELECTRIC power systems, KNOWLEDGE transfer, DETECTION algorithms

Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network

Autoři: Hu, Yuqing Cheng, Xiaoyuan Wang, Suhang a další

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2105.13399

The application of suitable sports games for junior high school students based on deep learning and artificial intelligence.

Autoři: Ji, Xueyan Samsudin, Shamsulariffin Bin Hassan, Muhammad Zarif Bin a další

Zdroj: Scientific Reports; 5/16/2025, Vol. 15 Issue 1, p1-13, 13p

Témata: JUNIOR high school students, DETECTION algorithms, ARTIFICIAL intelligence, SCHOOL sports, HUMAN skeleton

Short term energy consumption prediction of regional building group based on spatiotemporal graph convolutional network considering spatiotemporal correlation between building nodes.

Autoři: Ma, Yamei Ruan, Yingjun Xu, Tingting a další

Zdroj: Journal of Physics: Conference Series; 2025, Vol. 3001 Issue 1, p1-11, 11p

Assessment of Movement Disorders in the Elderly Based on Skeletal Action Recognition.

Autoři: Ying, Yangwei Wang, Haotian Liao, Jun a další

Zdroj: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1437, 22p

Témata: DETECTION algorithms, OBJECT recognition (Computer vision), PARKINSON'S disease, MOVEMENT disorders, FEATURE extraction

Multi-factor embedding GNN-based traffic flow prediction considering intersection similarity.

Autoři: Zhong, Ruirui Hu, Bingtao Wang, Fei a další

Zdroj: Neurocomputing. Mar2025, Vol. 620, pN.PAG-N.PAG. 1p.

Témata: *GRAPH neural networks, *CONVOLUTIONAL neural networks, *TRAFFIC patterns, *LONG short-term memory

Research progress of animal behavior recognition algorithms based on deep learning.

Autoři: Zeng, Xianzhou Gong, Mingxiong Yin, Yuanchang a další

Zdroj: Digital Medicine; Mar2025, Vol. 11 Issue 1, p1-9, 9p

EHC-GCN: Efficient Hierarchical Co-Occurrence Graph Convolution Network for Skeleton-Based Action Recognition.

Autoři: Bai, Ying Yang, Dongsheng Xu, Jing a další

Zdroj: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 4, p2109, 19p

Témata: DEEP learning, COMPUTATIONAL complexity, SKELETON, HUMAN activity recognition

Dual-module spatial temporal information enhancement graph convolutional network for recognizing traffic police command gestures.

Autoři: Shi, Peicheng Zhang, Qing Yang, Aixi

Zdroj: Signal, Image & Video Processing; Jan2025, Vol. 19 Issue 1, p1-12, 12p

Protection and Inheritance Strategy of She Traditional Sports Skills Based on Pattern Recognition

Autoři: Lan, Hui

Zdroj: Applied Mathematics and Nonlinear Sciences ; volume 10, issue 1 ; ISSN 2444-8656

Dostupnost: https://doi.org/10.2478/amns-2025-0660
https://www.sciendo.com/pdf/10.2478/amns-2025-0660

The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market.

Autoři: Laitsos, Vasileios Vontzos, Georgios Paraschoudis, Paschalis a další

Zdroj: Energies (19961073); Nov2024, Vol. 17 Issue 22, p5797, 37p

Témata: MACHINE learning, RENEWABLE energy sources, ELECTRIC power distribution, ELECTRICITY markets, ELECTRICITY pricing

The analysis of regional ice and snow tourist destinations under back propagation neural network

Autoři: Fuxue Wang

Zdroj: Heliyon, Vol 10, Iss 23, Pp e40035- (2024)

Témata: Internet of things, Back propagation neural network, Ice and snow tourism, Spatial-temporal graph convolutional network, Evolutionary characteristics, Science (General), Q1-390, Social sciences (General), H1-99

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024160665; https://doaj.org/toc/2405-8440

Přístupová URL adresa: https://doaj.org/article/a5662dddc6664c0e994e13e24076ccf5