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检索条件"机构=Data Science Institute and Program in Applied Mathematics"
1737 条 记 录,以下是1-10 订阅
Strong Overall Error Analysis for the Training of Artificial Neural Networks Via Random Initializations
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Communications in mathematics and Statistics 2024年 第3期12卷 385-434页
作者: Arnulf Jentzen Adrian Riekert School of Data Science and Shenzhen Research Institute of Big Data The Chinese University of Hong KongShenzhenPeople’s Republic of China Applied Mathematics:Institute for Analysis and Numerics University of MünsterMünsterGermany
Although deep learning-based approximation algorithms have been applied very successfully to numerous problems,at the moment the reasons for their performance are not entirely understood from a mathematical point of *... 详细信息
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Toward Sustainable Development Goals (SDGs) with Statistical Modeling: Recursive Bivariate Binary Probit
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IAENG International Journal of applied mathematics 2024年 第8期54卷 1515-1521页
作者: Ratnasari, Vita Utama, Syirrul Hadi Dani, Andrea Tri Rian Faculty of Science and Data Analytics Institut Teknologi Sepuluh Nopember Surabaya Indonesia the Department of Statistics Faculty of Science and Data Analytics Sepuluh Nopember Institute of Technology Surabaya Indonesia Statistics Study Program Department of Mathematics Faculty of Mathematics and Natural Sciences Mulawarman University Samarinda Indonesia
Poverty is still a global problem that must be immediately eradicated by Sustainable Development Goals (SDGs) 1, namely ending poverty anywhere and in any form. In 2021, West Papua province will have the 2nd most sign... 详细信息
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Attention-Based and Time Series Models for Short-Term Forecasting of COVID-19 Spread
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Computers, Materials & Continua 2022年 第1期70卷 695-714页
作者: Jurgita Markeviciute Jolita Bernataviciene Ruta Levuliene Viktor Medvedev Povilas Treigys Julius Venskus Institute of Applied Mathematics Vilnius UniversityVilnius03225Lithuania Institute of Data Science and Digital Technologies Vilnius UniversityVilnius08412Lithuania
The growing number of COVID-19 cases puts pressure on healthcare services and public institutions *** pandemic has brought much uncertainty to the global economy and the situation in *** methods and modeling technique... 详细信息
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An Iterative Thresholding Method for the Minimum Compliance Problem
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Communications in Computational Physics 2023年 第4期33卷 1189-1216页
作者: Luyu Cen Wei Hu Dong Wang Xiaoping Wang Department of Mathematics Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina The Program in Applied and Computational Mathematics Princeton UniversityPrincetonNew JerseyUSA School of Science and Engineering The Chinese University of Hong KongShenzhenGuangdong 518172China Shenzhen International Center for Industrial and Applied Mathematics Shenzhen Research Institute of Big DataGuangdong 518172China
In this paper,we propose a simple energy decaying iterative thresholding algorithm to solve the two-phase minimum compliance *** material domain is implicitly represented by its characteristic function,and the problem... 详细信息
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Monolithic Convex Limiting for Legendre-Gauss-Lobatto Discontinuous Galerkin Spectral-Element Methods
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Communications on applied mathematics and Computation 2024年 第3期6卷 1860-1898页
作者: Andrés M.Rueda-Ramírez Benjamin Bolm Dmitri Kuzmin Gregor J.Gassner Department of Mathematics and Computer Science University of CologneWeyertal 86-90Cologne 50931Germany Institute of Applied Mathematics(LS Ⅲ) TU Dortmund UniversityVogelpothsweg 87Dortmund 44227Germany Center for Data and Simulation Science University of CologneWeyertal 86-90Cologne 50931Germany
We extend the monolithic convex limiting(MCL)methodology to nodal discontinuous Galerkin spectral-element methods(DGSEMS).The use of Legendre-Gauss-Lobatto(LGL)quadrature endows collocated DGSEM space discretizations ... 详细信息
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Predator Prey Scavenger Model using Holling’s Functional Response of Type III and Physics-Informed Deep Neural Networks
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International Journal of applied and Computational mathematics 2025年 第2期11卷 1-32页
作者: Panchal, Aneesh Beniwal, Kirti Kumar, Vivek Department of Computational and Data Sciences Indian Institute of Science Karnataka Bangalore 560012 India Department of Applied Mathematics Delhi Technological University Delhi New Delhi 110042 India
Nonlinear mathematical models introduce the relation between various physical and biological interactions present in nature. One of the most famous models is the Lotka–Volterra model which defined the interaction bet... 详细信息
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On von Neumann Regularity of Commutators
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Algebra Colloquium 2024年 第2期31卷 181-198页
作者: Nam Kyun Kim Tai Keun Kwak Yang Lee Sung Ju Ryu Nanqing Ding School of Basic Sciences Hanbat National UniversityDaejeon 34158Korea Department of Data Science Daejin UniversityPocheon 11159Korea Department of Mathematics Yanbian UniversityYanjiJilin 133002China Institute for Applied Mathematics and Optics Hanbat National University Daejeon 34158Korea Department of Mathematics Pusan National UniversityBusan 46241Korea 不详
We study the structure of rings which satisfy the von Neumann regularity of commutators,and call a ring R C-regularif ab-ba ∈(ab-ba)R(ab-ba)for all a,b in *** a C-regular ring R,we prove J(R[X])=N^(*)(R[X])=N^(*)(R)[... 详细信息
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Predictor–corrector approach for the numerical solution of fuzzy fractional differential equations and linear multiterm fuzzy fractional equations
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Soft Computing 2025年 第3期29卷 1347-1368页
作者: Al-Sadi, Wadhah Wei, Zhouchao Moroz, Irene Abu Arqub, Omar Abdullah, Tariq Q. S. School of Mathematics and Physics China University of Geosciences Wuhan430074 China Data Recovery Key Laboratory of Sichuan Province College of Mathematics and Information Science Neijiang Normal University Neijiang641100 China Mathematical Institute Oxford University OxfordOX2 6GG United Kingdom Department of Mathematics Faculty of Science Al Balqa Applied University Salt19117 Jordan
Recently, the modeling of fuzzy fractional differential equations (FFDEs) has been a very significant issue in many new applications in applied sciences and engineering, while a natural tool for modeling such dynamica... 详细信息
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Learning Graph Representation via Graph Entropy Maximization  41
Learning Graph Representation via Graph Entropy Maximization
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41st International Conference on Machine Learning, ICML 2024
作者: Sun, Ziheng Wang, Xudong Ding, Chris Fan, Jicong School of Data Science The Chinese University of Hong Kong Shenzhen [CUHK-Shenzhen China Shenzhen International Center for Industrial and Applied Mathematics Shenzhen Research Institute of Big Data Shenzhen China
Graph representation learning aims to represent graphs as vectors that can be utilized in downstream tasks such as graph classification. In this work, we focus on learning diverse representations that can capture the ... 详细信息
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New Results on Interval Type-3 Fuzzy Control for Nonlinear Time-Delay Systems Using Convex Relaxation Technique
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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年 第5期55卷 3630-3641页
作者: Harikaran, B. Harshavarthini, S. Lee, Sangmoon Sakthivel, R. Sathiyaraj, T. School of Advanced Sciences Department of Mathematics Chennai600127 India Kyungpook National University School of Electronic and Electrical Engineering Daegu41566 Korea Republic of Bharathiar University Department of Applied Mathematics Coimbatore641046 India Institute of Actuarial Science and Data Analytics UCSI University Kuala Lumpur56000 Malaysia
In this article, the interval type-3 fuzzy-based state feedback control is proposed for the stabilization problem of interval type-3 fuzzy systems (IT3FSs) subject to time-varying delay. Specifically, to improve the m... 详细信息
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