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Incorporating self-attentions into robust spatial-temporal graph representation learning against dynamic graph perturbations
Incorporating self-attentions into robust spatial-temporal graph representation learning against dynamic graph perturbations
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Incorporating self-attentions into robust spatial-temporal graph representation learning against dynamic graph perturbations

Zeng, Zhuo ; Wang, Chengliang ; Ma, Fei ; Li, Xusheng ; Chen, Xinrun

Computing, 2024-07, Vol.106 (7), p.2211-2237 [Periódico revisado por pares]

Vienna: Springer Vienna

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2
Carbon footprint of agricultural groundwater pumping with energy demand and supply management analysis
Carbon footprint of agricultural groundwater pumping with energy demand and supply management analysis
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Carbon footprint of agricultural groundwater pumping with energy demand and supply management analysis

Koushki, Raana ; Warren, Jason ; Krzmarzick, Mark James

Irrigation science, 2024-07, Vol.42 (4), p.735-744 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
Study on the seismic influence coefficient of track irregularity on the train dynamic effect of high-speed railway bridge
Study on the seismic influence coefficient of track irregularity on the train dynamic effect of high-speed railway bridge
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Study on the seismic influence coefficient of track irregularity on the train dynamic effect of high-speed railway bridge

Jiang, Lizhong ; Peng, Kang ; Zhou, Wangbao ; Yu, Jian

Mechanics based design of structures and machines, 2024-06, Vol.52 (6), p.3339-3357 [Periódico revisado por pares]

Taylor & Francis

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4
Composite Sand-Crumb Rubber and Geofoam Wave Barrier for Train Vibration
Composite Sand-Crumb Rubber and Geofoam Wave Barrier for Train Vibration
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Composite Sand-Crumb Rubber and Geofoam Wave Barrier for Train Vibration

Barman, Rahul ; Sarkar, Abir ; Bhowmik, Debjit

Geotechnical and geological engineering, 2024-06, Vol.42 (4), p.2321-2343 [Periódico revisado por pares]

Cham: Springer International Publishing

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5
Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework
Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework
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Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework

Juan, Yong ; Ke, Ziyi ; Chen, Ziqiang ; Zhong, Debiao ; Chen, Weifeng ; Yin, Liang

Neural computing & applications, 2024-06, Vol.36 (17), p.9779-9803 [Periódico revisado por pares]

London: Springer London

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6
Beyond green chemistry: Radical environmental transformation through Sanfte Chemie (1985–1995)
Beyond green chemistry: Radical environmental transformation through Sanfte Chemie (1985–1995)
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Beyond green chemistry: Radical environmental transformation through Sanfte Chemie (1985–1995)

Krasnodębski, Marcin

History of science, 2024-06, Vol.62 (2), p.280-304 [Periódico revisado por pares]

London, England: SAGE Publications

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7
A pricing strategy for federated learning in UAV-enabled MEC
A pricing strategy for federated learning in UAV-enabled MEC
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A pricing strategy for federated learning in UAV-enabled MEC

Song, Mingyang ; Li, Chunlin ; Luo, Youlong

The Journal of supercomputing, 2024-05, Vol.80 (8), p.10584-10609 [Periódico revisado por pares]

New York: Springer US

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8
STIGCN: spatial–temporal interaction-aware graph convolution network for pedestrian trajectory prediction
STIGCN: spatial–temporal interaction-aware graph convolution network for pedestrian trajectory prediction
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STIGCN: spatial–temporal interaction-aware graph convolution network for pedestrian trajectory prediction

Chen, Wangxing ; Sang, Haifeng ; Wang, Jinyu ; Zhao, Zishan

The Journal of supercomputing, 2024-05, Vol.80 (8), p.10695-10719 [Periódico revisado por pares]

New York: Springer US

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9
One-shot learning technique regression of reconfigurable learning network for generative modeling in interconnected imaging infrastructure
One-shot learning technique regression of reconfigurable learning network for generative modeling in interconnected imaging infrastructure
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One-shot learning technique regression of reconfigurable learning network for generative modeling in interconnected imaging infrastructure

Rai, Ankush ; Jagadeesh Kannan, R.

International journal of electrical engineering & education, 2024-04, Vol.61 (2), p.192-206 [Periódico revisado por pares]

London, England: SAGE Publications

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10
A novel qualitative risk assessment using the interval-valued spherical fuzzy extension of TOPSIS method: a case study in rail transit systems
A novel qualitative risk assessment using the interval-valued spherical fuzzy extension of TOPSIS method: a case study in rail transit systems
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A novel qualitative risk assessment using the interval-valued spherical fuzzy extension of TOPSIS method: a case study in rail transit systems

Ak, Muhammet Fatih ; Demir, Emre

Neural computing & applications, 2024-04, Vol.36 (10), p.5109-5132 [Periódico revisado por pares]

London: Springer London

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