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检索条件"机构=Department of Applied Math. and Computer Science"
816 条 记 录,以下是41-50 订阅
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Numerical and analytical calculations of orbit-wise synthetic spectra from two-step gamma-ray fusion reactions  50
Numerical and analytical calculations of orbit-wise syntheti...
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50th EPS Conference on Plasma Physics, EPS 2024
作者: Valentini, A. Nocente, M. Eriksson, J. Järleblad, H. Moseev, D. Reman, B.C.G. Rud, M. Snicker, A. Stagner, L. Salewski, M. Department of Physics Technical University of Denmark Kgs Lyngby2800 Denmark Department of Physics University of Milano-Bicocca Milan20126 Italy Department of Physics and Astronomy Uppsala University Uppsala75120 Sweden Department of Appl. Math. & Computer Science Technical University of Denmark Kgs Lyngby2800 Denmark Max-Planck-Institut fur Plasmaphysik Wendelsteinstr. 1 Greifswald17491 Germany Laboratory for Plasma Physics LPP-ERM/KMS BrusselsB-1000 Belgium Department of Applied Physics Aalto University AaltoFI-00076 Finland General Atomics P.O. Box 85608 San DiegoCA92186-5609 United States
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Sampled-Data Control of Nonlinear Systems with Input Delay via Nonsmooth Feedback
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IFAC-PapersOnLine 2022年 第36期55卷 270-275页
作者: Congran Zhao Wei Lin School of Math. Science Jiangsu University Zhenjiang China Department of Electrical Computer and Systems Engineering Case Western Reserve University Cleveland Ohio 44106 USA
This paper studies sampled-data control of a class of nonlinear systems with input delay by memoryless feedback. A sampled-data nonsmooth feedback controller is first developed based on the emulation method and the ad...
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RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
arXiv
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arXiv 2024年
作者: Nath, Pritthijit Moss, Henry Shuckburgh, Emily Webb, Mark Department of Applied Math and Theoretical Physics University of Cambridge United Kingdom Department of Computer Science and Technology University of Cambridge United Kingdom Met Office Hadley Centre United Kingdom
This study explores integrating reinforcement learning (RL) with idealised climate models to address key parameterisation challenges in climate science. Current climate models rely on complex math.matical parameterisa... 详细信息
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Fed-Haul: A Federated Learning Dual Band Point Multi-Point Backhaul Requirements in 5G Evolution and Beyond  23
Fed-Haul: A Federated Learning Dual Band Point Multi-Point B...
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6th International Conference on Networking, Intelligent Systems and Security, NISS 2023
作者: Chehri, Abdellah Chaibi, Hasna Mettiti, Abderrahmane Saadane, Rachid Jeon, Gwanggil Dep. of Math. and Computer Science Royal Military College of Canada Kingston Canada Supmti Genius Laboratory Hassan Rabat Morocco It Rabat Center Faculty of Sciences Mohammed v University Rabat Morocco SIRC-LAGES-EHTP Hassania School of Public Works Casalanca Morocco Department of Embedded Systems Engineering Incheon National University Korea Republic of
The rapid adoption of smartphones and the explosive growth of data traffic due to these devices have been phenomenal. As the world anticipates more connected devices - the Internet of Things (IoT), vehicle-to-vehicle ... 详细信息
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A theory of link prediction via relational weisfeiler-leman on knowledge graphs  23
A theory of link prediction via relational weisfeiler-leman ...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Xingyue Huang Miguel Romero İsmail İlkan Ceylan Pablo Barceló Department of Computer Science University of Oxford Oxford UK Department of Computer Science Universidad Católica de Chile & CENIA Chile Inst. for Math. and Comp. Eng. Universidad Católica de Chile & IMFD Chile & CENIA Chile
Graph neural networks are prominent models for representation learning over graph-structured data. While the capabilities and limitations of these models are well-understood for simple graphs, our understanding remain...
来源: 评论
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
arXiv
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arXiv 2024年
作者: Yang, Yifan Ban, Hao Huang, Minhui Ma, Shiqian Ji, Kaiyi Department of Computer Science and Engineering University at Buffalo United States AI Research for Monetization Meta United States Department of Computational Applied Math and Operations Research Rice University United States
Bilevel optimization has recently attracted considerable attention due to its abundant applications in machine learning problems. However, existing methods rely on prior knowledge of problem parameters to determine st... 详细信息
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Threshold Decision-Making Dynamics Adaptive to Physical Constraints and Changing Environment
Threshold Decision-Making Dynamics Adaptive to Physical Cons...
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European Control Conference (ECC)
作者: Giovanna Amorim María Santos Shinkyu Park Alessio Franci Naomi Ehrich Leonard Dept. of Mechanical and Aerospace Engineering Princeton Univ. Princeton NJ USA Computer Electrical and Math. Science and Eng. Div. King Abdullah Univ. of Science and Technology (KAUST) Thuwal Saudi Arabia Department of Electrical Engineering and Computer Science University of Liege Liége Belgium WEL Research Institute Wavre Belgium
We propose a threshold decision-making frame-work for controlling the physical dynamics of an agent switching between two spatial tasks. Our framework couples a nonlinear opinion dynamics model that represents the evo... 详细信息
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A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
arXiv
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arXiv 2023年
作者: Cucumides, Tamara Daza, Daniel Barceló, Pablo Cochez, Michael Geerts, Floris Reutter, Juan L. Romero, Miguel Department of Computer Science University of Antwerp Belgium Computer Science Vrije Universiteit Amsterdam Netherlands Discovery Lab Elsevier Amsterdam Netherlands Inst. for Math. and Comp. Eng. Universidad Católica de Chile IMFD Chile CENIA Chile Chile Department of Computer Science Universidad Católica de Chile Chile
The challenge of answering graph queries over incomplete knowledge graphs is gaining significant attention in the machine learning community. Neuro-symbolic models have emerged as a promising approach, combining good ... 详细信息
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Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning
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npj Computational Materials 2023年 第1期9卷 1402-1410页
作者: Ying Huang David Perlmutter Andrea Fei-Huei Su Jerome Quenum Pavel Shevchenko Dilworth Y.Parkinson Iryna V.Zenyuk Daniela Ushizima Department of Materials Science&Engineering University of California IrvineIrvineCaliforniaUSA National Fuel Cell Research Center University of California IrvineIrvineCaliforniaUSA Applied Math and Computational Research Division Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Department of Chemical&Biomolecular Engineering University of California IrvineIrvineCaliforniaUSA Department of Electrical Engineering and Computer Sciences College of EngineeringUniversity of California BerkeleyBerkeleyCaliforniaUSA Advanced Photon Source Argonne National Laboratory9700 South Cass AvenueLemontIllinoisUSA Advanced Light Source Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Berkeley Institute for Data Science University of California BerkeleyBerkeleyCaliforniaUSA
Operando X-ray micro-computed tomography(µCT)provides an opportunity to observe the evolution of Li structures inside pouch *** is an essential step to quantitatively analyzingµCT datasets but is challenging... 详细信息
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A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
arXiv
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arXiv 2023年
作者: Huang, Xingyue Ceylan, İsmail İlkan Orth, Miguel Romero Barceló, Pablo Department of Computer Science University of Oxford Oxford United Kingdom Department of Computer Science Universidad Católica de Chile CENIA Chile Chile Inst. for Math. and Comp. Eng. Universidad Católica de Chile IMFD Chile CENIA Chile Chile
Graph neural networks are prominent models for representation learning over graph-structured data. While the capabilities and limitations of these models are well-understood for simple graphs, our understanding remain... 详细信息
来源: 评论