Zobrazeno 1 - 10
of 1 423
pro vyhledávání: '"temporal graph"'
Publikováno v:
Journal of Applied Animal Research, Vol 52, Iss 1, Pp 1-13 (2024)
ABSTRACTLivestock behavior is related to the healthy breeding and welfare level. Therefore, monitoring the behavior of sheep is helpful to predict the health status of sheep and thus safeguard the production performance of sheep. Taking semi-housed s
Externí odkaz:
https://doaj.org/article/c1783559f86a429ebba2c7dfb005b5f7
Autor:
Yongqing ZHOU, Dawei HAO, Yuchen FAN, Xintong WEN, Chang WEI, Xin LIU, Wenzhen ZHANG, Heyang WANG
Publikováno v:
Meitan xuebao, Vol 49, Iss 10, Pp 4127-4137 (2024)
Due to the introduction of large-scale renewable energy to the electric grid, the coal-fired units are running more under load cycling conditions and this has dramatically increased the difficulty of boiler in the control of NOx emissions. The real-t
Externí odkaz:
https://doaj.org/article/de4de299066a402fbf7a1591b26aa293
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 9, Pp 91-96 (2024)
Objective Accurate short term passenger flow prediction is of great significance to improve the operation and management efficiency of the ultra-large scale of urban rail transit network. However, the current research on deep exploration of the spati
Externí odkaz:
https://doaj.org/article/236a2b0de040444cbd3c121c42055c5d
Autor:
Fuxue Wang
Publikováno v:
Heliyon, Vol 10, Iss 23, Pp e40035- (2024)
This study aims to analyze the evolutionary characteristics and development levels of regional ice and snow tourist destinations by integrating the Back Propagation Neural Network (BPNN) within an Internet of Things (IoT) framework. Data from multipl
Externí odkaz:
https://doaj.org/article/a5662dddc6664c0e994e13e24076ccf5
Autor:
Pengyu Li, Huiyu Yang, Han Wu, Yujia Wang, Hao Su, Tianlong Zheng, Fang Zhu, Guangtao Zhang, Yu Han
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102939- (2024)
The growing demand for renewable energy sources like wind and solar power requires accurate and reliable forecasting techniques for effective planning and operation. This study presents an attention-based spatial-temporal graph neural network–long
Externí odkaz:
https://doaj.org/article/174c1691919d445a958fa55552a2d47a
Autor:
Shaohan Wei
Publikováno v:
PeerJ Computer Science, Vol 10, p e2560 (2024)
Graph embedding has gained significant popularity due to its ability to represent large-scale graph data by mapping nodes to a low-dimensional space. However, most of the existing research in this field has focused on transductive learning, where fix
Externí odkaz:
https://doaj.org/article/586551ca10dc4c75a2f1a07ce133be55
Autor:
Muhammad Tahir Naseem, Na-Hyun Kim, Haneol Seo, JaeMok Lee, Chul-Min Chung, Sunghoon Shin, Chan-Su Lee
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionSarcopenia is a common age-related disease, defined as a decrease in muscle strength and function owing to reduced skeletal muscle. One way to diagnose sarcopenia is through gait analysis and foot-pressure imaging.Motivation and research
Externí odkaz:
https://doaj.org/article/1794efa9a79d4bd79e12384e5a667f7c
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 3, Pp 201-210 (2024)
Granary is an important facility to ensure the safety of grain storage. The granary is a large closed space with dim lighting and poor air circulation. Operations such as fumigation and air conditioning increase personnel safety risks. The identifica
Externí odkaz:
https://doaj.org/article/f6dc7fe0cad94fc99346459072f27e78
Publikováno v:
Tongxin xuebao, Vol 45, Pp 1-12 (2024)
In order to complete the tasks of demand perception (perception), data collection (communication), and material delivery (logistics) at disaster relief sites in multi-UAV emergency scenarios, a two-stage solution framework was proposed for multi-UAV
Externí odkaz:
https://doaj.org/article/2e0f730b67f2460dbbd48a3165bfdccb
Predicting popularity trend in social media networks with multi-layer temporal graph neural networks
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 4713-4729 (2024)
Abstract Predicting what becomes popular on social media is crucial because it helps us understand future topics and public interests based on massive social data. Previous studies mainly focused on picking specific features and checking past statist
Externí odkaz:
https://doaj.org/article/e27d9c3cc8744ad499db798413e1f326