咨询与建议

限定检索结果

文献类型

  • 217 篇 会议
  • 168 篇 期刊文献

馆藏范围

  • 385 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 208 篇 工学
    • 96 篇 计算机科学与技术...
    • 67 篇 软件工程
    • 39 篇 控制科学与工程
    • 34 篇 机械工程
    • 23 篇 动力工程及工程热...
    • 22 篇 土木工程
    • 18 篇 化学工程与技术
    • 18 篇 船舶与海洋工程
    • 17 篇 生物工程
    • 16 篇 冶金工程
    • 16 篇 安全科学与工程
    • 14 篇 生物医学工程(可授...
    • 12 篇 电气工程
    • 11 篇 建筑学
    • 10 篇 水利工程
    • 9 篇 交通运输工程
  • 144 篇 理学
    • 69 篇 数学
    • 31 篇 物理学
    • 24 篇 系统科学
    • 22 篇 生物学
    • 20 篇 统计学(可授理学、...
    • 18 篇 海洋科学
    • 9 篇 化学
  • 92 篇 管理学
    • 80 篇 管理科学与工程(可...
    • 66 篇 工商管理
  • 34 篇 经济学
    • 34 篇 应用经济学
  • 24 篇 医学
    • 21 篇 基础医学(可授医学...
    • 19 篇 临床医学
    • 14 篇 公共卫生与预防医...
  • 19 篇 法学
    • 18 篇 社会学
  • 5 篇 教育学
  • 3 篇 农学

主题

  • 35 篇 optimization
  • 10 篇 analytical model...
  • 10 篇 machine learning
  • 9 篇 neural networks
  • 9 篇 gravitational wa...
  • 9 篇 decision making
  • 9 篇 sociology
  • 9 篇 mathematical mod...
  • 7 篇 multi-objective ...
  • 7 篇 industry 4.0
  • 7 篇 benchmark testin...
  • 7 篇 particle swarm o...
  • 7 篇 data models
  • 7 篇 multiobjective o...
  • 7 篇 evolutionary com...
  • 6 篇 covid-19
  • 6 篇 sustainable deve...
  • 6 篇 interoperability
  • 6 篇 modeling
  • 6 篇 statistics

机构

  • 25 篇 industrial and s...
  • 15 篇 institute for pl...
  • 15 篇 indian institute...
  • 14 篇 university of so...
  • 13 篇 université libre...
  • 12 篇 department of as...
  • 12 篇 scuola di ingegn...
  • 12 篇 infn sezione di ...
  • 12 篇 dipartimento di ...
  • 12 篇 università degli...
  • 12 篇 department of ph...
  • 12 篇 infn trento inst...
  • 12 篇 max planck insti...
  • 12 篇 université paris...
  • 12 篇 universiteit gen...
  • 12 篇 gran sasso scien...
  • 12 篇 european gravita...
  • 12 篇 department of in...
  • 11 篇 infn sezione di ...
  • 11 篇 national tsing h...

作者

  • 30 篇 leandro dos sant...
  • 16 篇 deschamps fernan...
  • 16 篇 de lima edson pi...
  • 16 篇 viviana cocco ma...
  • 14 篇 prasetyo yogi tr...
  • 14 篇 nadlifatin reny
  • 13 篇 dos santos coelh...
  • 12 篇 r. takahashi
  • 12 篇 j. c. bayley
  • 12 篇 k. komori
  • 12 篇 t. kajita
  • 12 篇 f. hellman
  • 12 篇 m. kinley-hanlon
  • 12 篇 t. mcrae
  • 12 篇 a. parisi
  • 12 篇 t. sawada
  • 12 篇 s. rowan
  • 12 篇 s. m. aronson
  • 12 篇 v. p. mitrofanov
  • 12 篇 g. moreno

语言

  • 375 篇 英文
  • 5 篇 日文
  • 4 篇 其他
  • 4 篇 中文
检索条件"机构=Graduate Program in Industrial and Systems Engineering"
385 条 记 录,以下是41-50 订阅
排序:
Differentially Private Log-Location-Scale Regression Using Functional Mechanism
arXiv
收藏 引用
arXiv 2024年
作者: Sheng, Jiewen Fang, Xiaolei Graduate Program in Operations Research North Carolina State University United States Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University United States
This article introduces differentially private log-location-scale (DP-LLS) regression models, which incorporate differential privacy into LLS regression through the functional mechanism. The proposed models are establ... 详细信息
来源: 评论
Virtual Wearable Sensor Data Generation with Generative Adversarial Networks
Virtual Wearable Sensor Data Generation with Generative Adve...
收藏 引用
Simulation Winter Conference
作者: Yining Huang Hong Wan Xi Chen Operations Research Graduate Program North Carolina State University Raleigh NC USA Department of Industrial and Systems Engineering North Carolina State University Raleigh NC USA Grado Department of Industrial and Systems Engineering Virginia Tech Blacksburg VA USA
This study delves into the utilization of Generative Adversarial Networks (GANs) for generating subject-specific time series sensor data, offeringaninnovativealternativetotraditionalmetamodel-basedsimulations. We unde...
来源: 评论
Generative assistant for digital twin simulations
收藏 引用
Procedia CIRP 2025年 132卷 129-134页
作者: Pedro Antonio Boareto Eduardo de Freitas Rocha Loures Eduardo Alves Portela Santos Fernando Deschamps Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná 1155 Imaculada Conceição St. Curitiba Paraná 80215-901 Brazil Federal University of Paraná 632 Prefeito Lothário Meissner Av. Curitiba Paraná 80210-170 Brazil
One of the key emerging technologies in Industry 4.0 is the Digital Twin (DT). Although it promises increased efficiency, productivity, and innovation, its adoption faces challenges such as high investment costs and t... 详细信息
来源: 评论
Multiband Patch Antenna Design Using Nature-Inspired Optimization Method
IEEE Open Journal of Antennas and Propagation
收藏 引用
IEEE Open Journal of Antennas and Propagation 2021年 2卷 151-162页
作者: Boursianis, Achilles D. Papadopoulou, Maria S. Pierezan, Juliano Mariani, Viviana C. Coelho, Leandro S. Sarigiannidis, Panagiotis Koulouridis, Stavros Goudos, Sotirios K. ELEDIA@AUTH Research Group School of Physics Aristotle University of Thessaloniki Thessaloniki54124 Greece Department of Electrical Engineering Federal University of Parana Curitiba80060-000 Brazil Industrial and Systems Engineering Graduate Program and Mechanical Engineering Graduate Program Pontifical Catholic University of Parana Curitiba80215-901 Brazil Department of Electrical and Computer Engineering University of Western Macedonia Kozani501 00 Greece Electrical and Computer Engineering Department University of Patras Patras26504 Greece
Radio frequency energy harvesting has attracted considerable interest as a technique of enabling self-powered wireless networks. This technique faces several challenges, such as the receiving and the rectifying module... 详细信息
来源: 评论
Manta Ray Foraging Optimization Approaches on Multivariable PID Controller Tuning
Manta Ray Foraging Optimization Approaches on Multivariable ...
收藏 引用
Congress on Evolutionary Computation
作者: Yan Lieven Souza Luúio Luiza Scapinello Aquino Da Silva Viviana Cocco Mariani Leandro Dos Santos Coelho Electrical Engineering Graduate Program (PPGEE) Federal University of Parana (UFPR) Curitiba Brazil Department of Electrical Engineering Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) and Federal University of Parana (UFPR) Curitiba Parana Brazil Department of Electrical Engineering Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) and Federal University of Parana (UFPR) Curitiba Brazil
This work presents a performance comparison between the newly developed Manta Ray Foraging Optimization (MRFO) and two different variants created for tuning a decentralized fractional order proportional-integral-deriv...
来源: 评论
Current Issues in Flexible Manufacturing Using Multicriteria Decision Analysis and Ontology Based Interoperability in an Advanced Manufacturing Environment  10th
Current Issues in Flexible Manufacturing Using Multicriteria...
收藏 引用
10th International Conference of Production Research - Americas, ICPR-Americas 2020
作者: Canciglieri, M.B. Leite, A. F. C. S. de M. Rocha Loures, E. de F. Canciglieri, O. Monfared, R.P. Goh, Y.M. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba Paraná Brazil School of Mechanical Electrical and Manufacturing Engineering Loughborough University Loughborough Leicestershire United Kingdom
The manufacturing industry is undergoing a major transformation based on the emerging industry 4.0 technologies, such as cloud computing, big data, internet of things and cyber-physical systems. These novelty technolo... 详细信息
来源: 评论
Blockchain: A Review from the Perspective of Operations Researchers  22
Blockchain: A Review from the Perspective of Operations Rese...
收藏 引用
Proceedings of the Winter Simulation Conference
作者: Hong Wan Kejun Li Yining Huang Department of Industrial and Systems Engineering North Carolina State University Raleigh NC USA Operations Research Graduate Program North Carolina State University Raleigh NC USA
Blockchain is a distributed append-only digital ledger. The technology has caught much attention since the emergence of cryptocurrency, and there is an increasing number of blockchain applications in various businesse...
来源: 评论
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
arXiv
收藏 引用
arXiv 2023年
作者: Pacheco, Bruno Machado Seman, Laio Oriel Rigo, Cezar Antônio Camponogara, Eduardo Bezerra, Eduardo Augusto dos Santos Coelho, Leandro Florianópolis Brazil Florianópolis Brazil Department of Electrical Engineering Federal University of Parana Curitiba Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil
This study investigates how to schedule nanosatellite tasks more efficiently using Graph Neural Networks (GNNs). In the Offline Nanosatellite Task Scheduling (ONTS) problem, the goal is to find the optimal schedule fo... 详细信息
来源: 评论
Multi-Objective Grouped Grey Wolf Optimization of PID Controllers Applied to a Water Treatment Plant Model
Multi-Objective Grouped Grey Wolf Optimization of PID Contro...
收藏 引用
Congress on Evolutionary Computation
作者: Yan Lieven Souza Lúcio Viviana Cocco Mariani Leandro Dos Santos Coelho Electrical Engineering Graduate Program (PPGEE) Federal University of Parana (UFPR) Curitiba Parana Brazil Department of Electrical Engineering Mechanical Engineering Graduate Program (PPGEM) Pontifical Catholic University of Parana (PUCPR) and Federal University of Parana (UFPR) Curitiba Parana Brazil Department of Electrical Engineering Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) and Federal University of Parana (UFPR) Curitiba Parana Brazil
A comparison of proportional-integral-derivative (PID) controller tuning for a 2x2 Multiple-Input Multiple-Output (MIMO) water treatment plant model is presented. The PID tuning procedures are based on Multi-Objective...
来源: 评论
Generalization Bounds for Contextual Stochastic Optimization using Kernel Regression
arXiv
收藏 引用
arXiv 2024年
作者: Wang, Yijie Hanasusanto, Grani A. Ho, Chin Pang Graduate Program in Operations Research and Industrial Engineering The University of Texas at Austin AustinTX78712-1591 United States Department of Industrial and Enterprise Systems Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States School of Data Science City University of Hong Kong Hong Kong
In this paper, we consider contextual stochastic optimization using Nadaraya-Watson kernel regression, which is one of the most common approaches in nonparametric regression. Recent studies have explored the asymptoti... 详细信息
来源: 评论