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检索条件"主题词=data-driven algorithms"
52 条 记 录,以下是21-30 订阅
排序:
FDM: NutriGuide - A Cross-Platform Flutter Application for Managing and Educating on Nutritional Deficiencies  2
FDM: NutriGuide - A Cross-Platform Flutter Application for M...
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2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)
作者: Vidhya, K. Thiyagu, T. M. Taurshia, Antony Nagarajan, B. Jenefa, A. Jebas, Joshua Flower, I Karunya Inst Tech & Sci Sch Cst Coimbatore Tamil Nadu India Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci & Dept CSE Morai India KPR Inst Engn & Technol Dept Artificial Intelligence & Data Sci Coimbatore Tamil Nadu India
In today's fast-paced world, many individuals struggle to maintain a balanced diet, leading to various nutritional deficiencies. Effective management and education on these deficiencies are crucial for improving p... 详细信息
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Comparative analysis of data-driven electric vehicle battery health models across different operating conditions
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ENERGY 2024年 309卷
作者: Kumar, Roushan Das, Kaushik Krishna, Anurup Univ Petr & Energy Studies Sch Engn Mech Cluster Dehra Dun 248007 India Indian Inst Technol BHU Dept Elect & Commun Engn Varanasi 221005 India
The work covers the development of a data-driven algorithm and computes the performance of learning models for lithium-ion battery state of health (SOH) estimation. A wide range of environmental and temperature condit... 详细信息
来源: 评论
Generalization Bounds for data-driven Numerical Linear Algebra  35
Generalization Bounds for Data-Driven Numerical Linear Algeb...
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35th Conference on Learning Theory (COLT)
作者: Bartlett, Peter Indyk, Piotr Wagner, Tal Univ Calif Berkeley Berkeley CA 94720 USA MIT Cambridge MA 02139 USA Microsoft Res Redmond WA USA
data-driven algorithms can adapt their internal structure or parameters to inputs from unknown application-specific distributions, by learning from a training sample of inputs. Several recent works have applied this a... 详细信息
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Moment Matching for Linear Systems in Discrete-Time: Towards Enhanced Performance  63
Moment Matching for Linear Systems in Discrete-Time: Towards...
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63rd IEEE Conference on Decision and Control, CDC 2024
作者: Bhattacharjee, Debraj Moreschini, Alessio Astolfi, Alessandro Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom University of Rome 'Tor Vergata' Dipartimento di Ingegneria Civile e Ingegneria Informatica Rome Italy
We study the moment matching problem for linear systems in a discrete-time setting and introduce a family of reduced-order models that can replicate the steady-state response of the underlying system. We show that red... 详细信息
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A data-driven method for heat loss estimation from district heating service pipes using heat meter- and GIS data
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ENERGY 2023年 第1期277卷
作者: Fester, Jakob Ostergaard, Peter Friis Bentsen, Fredrik Nielsen, Brian Kongsgaard Danish Technol Inst Gregersensvej 1 DK-2630 Taastrup Denmark Verdo Varme A S Agerskellet 7 DK-8920 Randers Denmark Grundfos Poul Due Jensens vej 7 DK-8850 Bjerringbro Denmark
District heating (DH) pipes are often older than 20 years and of unknown condition, imposing a strong demand for detailed knowledge about their current state to help cost-effective ongoing renovation and reduce water ... 详细信息
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The Online Knapsack Problem with Departures
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PROCEEDINGS OF THE ACM ON MEASUREMENT AND ANALYSIS OF COMPUTING SYSTEMS 2022年 第3期6卷 1–32页
作者: Sun, Bo Yang, Lin Hajiesmaili, Mohammad Wierman, Adam Lui, John C. S. Towsley, Don Tsang, Danny H. K. Chinese Univ Hong Kong Hong Kong Peoples R China Nanjing Univ Nanjing Peoples R China Univ Massachusetts Amherst Amherst MA USA CALTECH Pasadena CA 91125 USA Hong Kong Univ Sci & Technol Guangzhou Guangzhou Peoples R China Hong Kong Univ Sci & Technol Hong Kong Peoples R China
The online knapsack problem is a classic online resource allocation problem in networking and operations research. Its basic version studies how to pack online arriving items of different sizes and values into a capac... 详细信息
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Predicting Positions of People in Human-Robot Conversational Groups  22
Predicting Positions of People in Human-Robot Conversational...
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17th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI)
作者: Hedayati, Hooman Szafir, Daniel Univ North Carolina Chapel Hill Dept Comp Sci Chapel Hill NC 27599 USA
Robots that operate in social settings must be able to recognize, understand, and reason about human conversational groups (i.e., F-formations). While several algorithms have been developed for identifying such groups... 详细信息
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A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations
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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2021年 95卷 186-199页
作者: Brevis, Ignacio Muga, Ignacio van der Zee, Kristoffer G. Pontificia Univ Catolica Valparaiso Inst Matemat Valparaiso Chile Univ Nottingham Sch Math Sci Nottingham England
We introduce the concept of machine-learning minimal-residual (ML-MRes) finite element discretizations of partial differential equations (PDEs), which resolve quantities of interest with striking accuracy, regardless ... 详细信息
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Automation of Photonic Networks Using Machine Learning: Case Studies and Future Works
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IEEE PHOTONICS TECHNOLOGY LETTERS 2021年 第23期33卷 1317-1320页
作者: Rahman, Sabidur Seixas, Nilton F. S. Naznin, Mahmuda Figueiredo, Gustavo B. Sonoma State Univ Dept Comp Sci Rohnert Pk CA 94928 USA Univ Fed Bahia Dept Comp Sci BR-40170110 Salvador BA Brazil Bangladesh Univ Engn & Technol Dept Comp Sci & Engi Dhaka 1205 Bangladesh
Although a "Self-Driving" photonic network is still a long way to go, many time-consuming complex tasks and decision making in photonic networks can be automated using machine learning, and other data-driven... 详细信息
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Model-based machine learning in acoustics applications from a Bayesian perspective  24
Model-based machine learning in acoustics applications from ...
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24th International Congress on Acoustics, ICA 2022
作者: Xiang, Ning Chen, Ziqi Zhang, Jiahua Nolan, Mélanie Graduate Program in Architectural Acoustics Rensselaer Polytechnic Institute TroyNY United States
Recent acoustics investigations increasingly employ machine learning methods to analyze experimental data. Using well-understood models or hypotheses, acoustics analyses often embody two levels of inference: model sel... 详细信息
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