Results 21 to 30 of about 308,255 (264)
Impacts of small-scale irrigation water use on environmental flow of ungauged rivers in Africa
Environmental Systems Research, 2023 Failure in Environmental flow in quantity, timing, and quality leads to failure to support ecosystems, human livelihoods, and well-being. Irrigation water use is one of the main actors in impacting the water flow of rivers in quantity and time but was ...
Yohannes Geleta +3 more
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Rule-Based Learning untuk Robot Humanoid T-FLoW Belajar Berjalan
Jurnal Elkomika, 2022 ABSTRAK Riset tentang penggunaan learning dalam motion robot humanoid telah banyak dilakukan di seluruh dunia. Salah satunya adalah melakukan learning gerakan berjalan pada robot.
FAIZ ULURRASYADI +3 more
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Traffic flow and safety analysis
Theoretical and Applied Mechanics Letters, 2018 Traffic rule is a key factor affecting traffic flow and safety. We develop our models, including the cellular automata traffic flow model as well as the linear regression one, aiming at calculating traffic flow and evaluating safety conditions with ...
Jing Gao, Lili Dai, Xu Gan
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Journal of the Mechanical Behavior of Materials, 2018 This article investigates the differences between the Aifantis and Gurtin-Anand strain gradient plasticity. The fact that Gurtin-Anand strain gradient plasticity is richer than the Aifantis strain gradient plasticity provides a basis for which we could ...
Borokinni Adebowale S.
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Topology Rule-Based Methodology for Flow Separation Analysis in Turbomachinery
International Journal of Turbomachinery, Propulsion and Power, 2022 Boundary-layer flow separation is a common flow feature in many engineering applications. The consequences of flow separation in turbomachinery can be disastrous in terms of performance, stability and noise.
Pierre Duquesne +3 more
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, 2019 We present a particle flow realization of Bayes' rule, where an ODE-based neural operator is used to transport particles from a prior to its posterior after a new observation. We prove that such an ODE operator exists. Its neural parameterization can be trained in a meta-learning framework, allowing this operator to reason about the effect of an ...
Xinshi Chen, Hanjun Dai, Le Song
openaire +3 more sources
A Hierarchical Framework for Multi-Lane Autonomous Driving Based on Reinforcement Learning
IEEE Open Journal of Intelligent Transportation Systems, 2023 This paper proposes a hierarchical framework integrating deep reinforcement learning (DRL) and rule-based methods for multi-lane autonomous driving.
Xiaohui Zhang +3 more
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MetalsThis study aims to develop a flow rule for evaluating the relaxation and redistribution of residual stresses during the post-weld heat treatment (PWHT) of hydroelectric runners made from low-carbon martensitic stainless steel (13Cr-4Ni composition ...
Mir Mehrdad Hosseini +4 more
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Impact of non-normal flow rule on linear kinematic features in pan-Arctic ice-ocean simulations [PDF]
The CryosphereThe standard sea ice viscous-plastic (VP) rheology is based on an elliptical yield curve and a normal flow rule. This formulation implies that the post-failure deformations are always normal to the yield curve. A drawback of this is that modifications to
J.-F. Lemieux +6 more
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A Mixed-Flow Cellular Automaton Model for Vehicle Nonstrict Priority Give-Way Behavior at Crosswalks
Journal of Advanced Transportation, 2020 The vehicle nonstrict priority give-way behavior (VNPGWB) is a common part of traffic interaction between motorized and nonmotorized vehicles in many countries. This study proposes a mixed-flow cellular automaton model to simulate the passing of vehicles
Yunxuan Li +3 more
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