Zobrazeno 1 - 10
of 573
pro vyhledávání: '"Multimodal data fusion"'
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 1-12 (2024)
In intelligent transportation systems, traditional object detection algorithms struggle to handle complex environments and varying lighting conditions, particularly when detecting small targets and processing multimodal data. Furthermore, existing Io
Externí odkaz:
https://doaj.org/article/5bd09143b39a4023b203ec31d27288b3
Publikováno v:
PeerJ Computer Science, Vol 10, p e2298 (2024)
With the increasing availability of diverse healthcare data sources, such as medical images and electronic health records, there is a growing need to effectively integrate and fuse this multimodal data for comprehensive analysis and decision-making.
Externí odkaz:
https://doaj.org/article/38e023da9bbd4985908765b2498361d0
Autor:
Hui Chen, Xiangyang Wang, Yang Xiao, Beixian Wu, Zhuo Wang, Yao Liu, Peiyi Wang, Chunjie Chen, Xinyu Wu
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionWearable exoskeletons assist individuals with mobility impairments, enhancing their gait and quality of life. This study presents the iP3T model, designed to optimize gait phase prediction through the fusion of multimodal time-series data
Externí odkaz:
https://doaj.org/article/3a9b6675b2934495b8b7141e245fc919
Autor:
P. A. Mikhnenko
Publikováno v:
Управленческие науки, Vol 13, Iss 4, Pp 71-89 (2024)
The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to imple
Externí odkaz:
https://doaj.org/article/c323c4fc723a45e7a890b4f6d6ca58fd
Autor:
Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10583-10599 (2024)
Urban functional zones (UFZ) identification with remote sensing imagery (RSI) is attracting increasing attention in urban planning and resource allocation in urban areas, etc. The UFZ is a comprehensive unit comprising geographical, how to effectivel
Externí odkaz:
https://doaj.org/article/a9ef8eb02a8947b99a01fbe21fcabb09
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 10, p 370 (2024)
The collaborative use of camera near-field sensors for monitoring the number and status of tourists is a crucial aspect of smart scenic spot management. This paper proposes a near-field perception technical system that achieves dynamic and accurate d
Externí odkaz:
https://doaj.org/article/eb64476364884003a5c0497068190a48
Autor:
Xiaoqin Yan, Zhangwei Jiang, Peng Luo, Hao Wu, Anning Dong, Fengling Mao, Ziyin Wang, Hong Liu, Yao Yao
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103805- (2024)
Urban land use patterns can be more accurately mapped by fusing multimodal data. However, many studies only consider socioeconomic and physical attributes within land parcels, neglecting spatial interaction and uncertainty caused by multimodal data.
Externí odkaz:
https://doaj.org/article/5af2ee975fda4fcc88d1284c8e93cd61
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103681- (2024)
Weed competitiveness monitoring is crucial for field management at specific locations. Recent research in the fusion of multimodal data from unmanned aerial vehicles (UAVs) has propelled this advancement. However, these studies merely stack extracted
Externí odkaz:
https://doaj.org/article/ab04b20d7cbd494e8a158ca9e8619d80
Akademický článek
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Autor:
Zhao Chen, Dianchang Wang, Feixiang Zhao, Lingnan Dai, Xinrong Zhao, Xian Jiang, Huaiqing Zhang
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6382 (2024)
Simulating animal movement has long been a central focus of study in the area of wildlife behaviour studies. Conventional modelling methods have difficulties in accurately representing changes over time and space in the data, and they generally do no
Externí odkaz:
https://doaj.org/article/5aaff1a7398e4cc8a23c16822b012132