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Motion of an Articulated Vehicle with Two-Dimensional Sections Subject to Lateral Obstacles
Motion of an Articulated Vehicle with Two-Dimensional Sections Subject to Lateral Obstacles
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Motion of an Articulated Vehicle with Two-Dimensional Sections Subject to Lateral Obstacles

Antonyuk, E. Ya ; Zabuga, A. T.

International applied mechanics, 2016-07, Vol.52 (4), p.404-412 [Periódico revisado por pares]

New York: Springer US

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2
Dynamic objects detection through visual odometry and stereo-vision: a study of inaccuracy and improvement sources : Car Navigation and Vehicle Systems
Dynamic objects detection through visual odometry and stereo-vision: a study of inaccuracy and improvement sources : Car Navigation and Vehicle Systems
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Dynamic objects detection through visual odometry and stereo-vision: a study of inaccuracy and improvement sources : Car Navigation and Vehicle Systems

BAK, Adrien ; BOUCHAFA, Samia ; AUBERT, Didier

Machine vision and applications, 2014, Vol.25 (3), p.681-697 [Periódico revisado por pares]

Heidelberg: Springer

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3
Dynamics of a Two-Link Vehicle in an L-Shaped Corridor Revisited
Dynamics of a Two-Link Vehicle in an L-Shaped Corridor Revisited
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Dynamics of a Two-Link Vehicle in an L-Shaped Corridor Revisited

Antonyuk, E. Ya ; Zabuga, A. T.

International applied mechanics, 2014-03, Vol.50 (2), p.222-230 [Periódico revisado por pares]

Boston: Springer US

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4
Exact algorithms for the chance-constrained vehicle routing problem
Exact algorithms for the chance-constrained vehicle routing problem
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Exact algorithms for the chance-constrained vehicle routing problem

Dinh, Thai ; Fukasawa, Ricardo ; Luedtke, James

Mathematical programming, 2018-11, Vol.172 (1-2), p.105-138 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery
A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery
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A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery

Xu, Zhaoyi ; Guo, Yanjie ; Saleh, Joseph Homer

Neural computing & applications, 2022-09, Vol.34 (18), p.15997-16017 [Periódico revisado por pares]

London: Springer London

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6
Learning a data-efficient model for a single agent in homogeneous multi-agent systems
Learning a data-efficient model for a single agent in homogeneous multi-agent systems
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Learning a data-efficient model for a single agent in homogeneous multi-agent systems

Gurevich, Anton ; Bamani, Eran ; Sintov, Avishai

Neural computing & applications, 2023-09, Vol.35 (27), p.20069-20085 [Periódico revisado por pares]

London: Springer London

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7
Consensus-based bundle algorithm with local replanning for heterogeneous multi-UAV system in the time-sensitive and dynamic environment
Consensus-based bundle algorithm with local replanning for heterogeneous multi-UAV system in the time-sensitive and dynamic environment
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Consensus-based bundle algorithm with local replanning for heterogeneous multi-UAV system in the time-sensitive and dynamic environment

Chen, Jie ; Qing, Xianguo ; Ye, Fang ; Xiao, Kai ; You, Kai ; Sun, Qian

The Journal of supercomputing, 2022-02, Vol.78 (2), p.1712-1740 [Periódico revisado por pares]

New York: Springer US

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8
Temperature-dependent structural, mechanical, and thermodynamic properties of B2-phase Ti2AlNb for aerospace applications
Temperature-dependent structural, mechanical, and thermodynamic properties of B2-phase Ti2AlNb for aerospace applications
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Temperature-dependent structural, mechanical, and thermodynamic properties of B2-phase Ti2AlNb for aerospace applications

Goyal, Kushagra ; Bera, Chandan ; Sardana, Neha

Journal of materials science, 2022-11, Vol.57 (41), p.19553-19570 [Periódico revisado por pares]

New York: Springer US

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9
A seq2seq learning method for microscopic emission estimation of on-road vehicles
A seq2seq learning method for microscopic emission estimation of on-road vehicles
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A seq2seq learning method for microscopic emission estimation of on-road vehicles

Zhao, Zhenyi ; Cao, Yang ; Xu, Zhenyi ; Kang, Yu

Neural computing & applications, 2024-05, Vol.36 (15), p.8565-8576 [Periódico revisado por pares]

London: Springer London

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10
A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3
A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3
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A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3

Martinez-Alpiste, Ignacio ; Golcarenarenji, Gelayol ; Wang, Qi ; Alcaraz-Calero, Jose Maria

Neural computing & applications, 2021-08, Vol.33 (16), p.9961-9973 [Periódico revisado por pares]

London: Springer London

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