咨询与建议

限定检索结果

文献类型

  • 910 篇 期刊文献
  • 203 篇 会议

馆藏范围

  • 1,113 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 734 篇 理学
    • 561 篇 物理学
    • 120 篇 数学
    • 58 篇 系统科学
    • 41 篇 统计学(可授理学、...
    • 31 篇 生物学
    • 20 篇 化学
  • 371 篇 工学
    • 167 篇 计算机科学与技术...
    • 138 篇 软件工程
    • 130 篇 控制科学与工程
    • 68 篇 电气工程
    • 57 篇 信息与通信工程
    • 50 篇 电子科学与技术(可...
    • 38 篇 机械工程
    • 35 篇 光学工程
    • 29 篇 环境科学与工程(可...
    • 28 篇 水利工程
    • 24 篇 动力工程及工程热...
    • 24 篇 生物工程
    • 22 篇 生物医学工程(可授...
    • 20 篇 化学工程与技术
    • 20 篇 交通运输工程
    • 18 篇 力学(可授工学、理...
    • 18 篇 材料科学与工程(可...
    • 14 篇 仪器科学与技术
  • 77 篇 管理学
    • 57 篇 管理科学与工程(可...
    • 28 篇 工商管理
    • 23 篇 图书情报与档案管...
  • 24 篇 医学
    • 23 篇 临床医学
    • 17 篇 基础医学(可授医学...
    • 11 篇 药学(可授医学、理...
  • 11 篇 法学
  • 7 篇 经济学
  • 3 篇 教育学
  • 3 篇 农学

主题

  • 15 篇 predictive contr...
  • 11 篇 model predictive...
  • 11 篇 decision making
  • 10 篇 robust control
  • 10 篇 genetic algorith...
  • 10 篇 waste treatment
  • 8 篇 water quality
  • 8 篇 biotechnology
  • 8 篇 nonlinear system...
  • 7 篇 optimization
  • 7 篇 parameter estima...
  • 7 篇 adaptive control
  • 7 篇 controllers
  • 6 篇 linear matrix in...
  • 6 篇 machine learning
  • 6 篇 uncertainty
  • 6 篇 bounding method
  • 5 篇 deep learning
  • 5 篇 deep neural netw...
  • 5 篇 target tracking

机构

  • 16 篇 department of au...
  • 12 篇 department of el...
  • 11 篇 department of el...
  • 9 篇 department of el...
  • 9 篇 school of automa...
  • 8 篇 hubei key labora...
  • 8 篇 department of au...
  • 6 篇 school of engine...
  • 6 篇 department of co...
  • 6 篇 department of el...
  • 6 篇 department of el...
  • 6 篇 systems research...
  • 6 篇 department of in...
  • 6 篇 tokyo institute ...
  • 5 篇 school of engine...
  • 5 篇 advanced course ...
  • 5 篇 school of electr...
  • 5 篇 2department of m...
  • 5 篇 school of electr...
  • 5 篇 school of engine...

作者

  • 19 篇 brdys m.a.
  • 17 篇 brdys mietek a.
  • 16 篇 m.a. brdys
  • 15 篇 pedrycz witold
  • 12 篇 mietek a. brdys
  • 10 篇 wu min
  • 10 篇 chen jiming
  • 9 篇 johansson karl h...
  • 9 篇 joel b. harley
  • 8 篇 shen xuemin
  • 8 篇 chen luefeng
  • 8 篇 azeem
  • 8 篇 p. klinkhachorn
  • 8 篇 maughal ahmed al...
  • 8 篇 parisini thomas
  • 6 篇 sun youxian
  • 6 篇 m. oka
  • 6 篇 oeda shinichi
  • 6 篇 r. piotrowski
  • 6 篇 hirota kaoru

语言

  • 1,086 篇 英文
  • 19 篇 其他
  • 5 篇 中文
  • 3 篇 日文
检索条件"机构=2Department of Computer and Control Engineering"
1113 条 记 录,以下是11-20 订阅
排序:
Efficient Augmentation of Human Action Recognition Datasets with Warped Windows  26
Efficient Augmentation of Human Action Recognition Datasets ...
收藏 引用
26th International Conference on Knowledge-Based and Intelligent Information and engineering Systems, KES 2022
作者: Warchol, Dawid Oszust, Mariusz Department of Computer and Control Engineering Faculty of Electrical and Computer Engineering Rzeszów University of Technology W. Pola 2 Rzeszów35-959 Poland
In this paper, an approach to augment action recognition time series datasets, devoted to improving the accuracy of deep learning classifiers, is proposed. In the introduced method, two operators are sequentially intr... 详细信息
来源: 评论
A LESO Based Backstepping controller Considering Coal Seam Hardness for Rotary Speed in Coal Mine Tunnel Drilling Process
收藏 引用
Journal of Systems Science & Complexity 2024年 第5期37卷 1789-1808页
作者: CHEN Luefeng LIU Xiao WU Min LU Chengda PEDRYCZ Witold HIROTA Kaoru School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6R2G7Canada The Tokyo Institute of Technology Yokohama 226-8502Japan
In the process of coal mine drilling,controlling the rotary speed is important as it determines the efficiency and safety of *** this paper,a linear extended state observer(LESO)based backstepping controller for rotar... 详细信息
来源: 评论
Vision-based gesture modeling for signed expressions recognition  26
Vision-based gesture modeling for signed expressions recogni...
收藏 引用
26th International Conference on Knowledge-Based and Intelligent Information and engineering Systems, KES 2022
作者: Kapuscinski, Tomasz Inglot, Krzysztof Rzeszow University of Technology Department of Computer and Control Engineering W. Pola 2 Rzeszow35-959 Poland
A vision-based method for signed expressions recognition consisting of searching for previously prepared word models in the analyzed utterances was developed. The models were created as temporal sequences of grouped d... 详细信息
来源: 评论
Deep Learning-based Source Code Classification and Visualization of Decision Rationales  28th
Deep Learning-based Source Code Classification and Visualiza...
收藏 引用
28th International Conference on Knowledge Based and Intelligent information and engineering Systems, KES 2024
作者: Oeda, Shinichi Mitsumori, Seiya Department of Information and Computer Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Kisarazu City Chiba Japan Advanced Course of Control and Information Engineering National Institute of Technology Kisarazu College 11-1 Kiyomidaihigashi 2-chome Kisarazu City Chiba Japan
In programming education, it is crucial to provide instruction that is tailored to students' proficiency levels. For this purpose, an objective evaluation of each student's coding ability is essential. Additio... 详细信息
来源: 评论
Data-driven energy demand forecasting for electric vehicle charging infrastructure
Data-driven energy demand forecasting for electric vehicle c...
收藏 引用
2023 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2023
作者: Meddi, Silvia Cavaglion, Sara Cerquitelli, Tania Manfredi, Emanuele Regalia, Andrea Menolascino, Raffaele Zardo, Guido Accenture S.p.A. Italy Department of Control and Computer Engineering Politecnico di Torino Italy F2M eSolutions Italy Politecnico di Torino Italy
In the era of Big Data and electric vehicles growth by market, data-driven methodologies assume a crucial role to create valuable information. The focus is on supporting the decision-making process for the development... 详细信息
来源: 评论
Output Tracking control of a Nonlinear System Based on Takagi-Sugeno Fuzzy Model: Generalized Partial Eigenstructure Assignment Approach
收藏 引用
IEEE Access 2024年 12卷 18520-18535页
作者: Soltanian, Farzad Shasadeghi, Mokhtar Mobayen, Saleh Skruch, Pawel University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2M9 Canada Shiraz University of Technology Electrical Engineering Faculty Shiraz71557-13876 Iran National Yunlin University of Science and Technology Graduate School of Intelligent Data Science Yunlin Douliu64002 Taiwan AGH University of Science and Technology Department of Automatic Control and Robotics Kraków30-059 Poland
This paper introduces an innovative optimal control approach to achieve output tracking while incorporating H2-performance specifications in a specific class of nonlinear dynamics modeled by the Takagi-Sugeno fuzzy mo... 详细信息
来源: 评论
Learning-Based State Estimation for Automated Lane-Changing  27
Learning-Based State Estimation for Automated Lane-Changing
收藏 引用
27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024
作者: Ha, Won Yong Chakraborty, Sayan Lin, Xiaoyi Ozbay, Kaan Jiang, Zhong-Ping New York University Control and Networks Lab Department of Electrical and Computer Engineering 370 Jay Street BrooklynNY11201 United States C2SMARTER Center New York University Department of Civil and Urban Engineering 6 MetroTech Center BrooklynNY11201 United States
This paper introduces a learning-based optimal control strategy enhanced with nonmodel-based state estimation to manage the complexities of lane-changing maneuvers in autonomous vehicles. Traditional approaches often ... 详细信息
来源: 评论
AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications
AI and data-driven infrastructures for workflow automation a...
收藏 引用
2023 Italia Intelligenza Artificiale - Thematic Workshops, Ital-IA 2023
作者: Forni, Tommaso Vozza, Mario Le Piane, Fabio Lorenzoni, Andrea Baldoni, Matteo Mercuri, Francesco DAIMON Lab CNR-ISMN via P. Gobetti 101 Bologna40129 Italy Department of Control and Computer Engineering Polytechnic University of Turin Corso Castelfidardo 34/d Turin10138 Italy Department of Computer Science and Engineering University of Bologna Viale del Risorgimento 2 Bologna40136 Italy
The use of AI and data-driven technologies and infrastructures for innovation and development of advanced research and industrial applications requires a strong degree of integration across a broad range of tools, dis... 详细信息
来源: 评论
Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers
Exploring waste-collection fleet data: challenges in a real-...
收藏 引用
2022 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2022
作者: Monaco, Simone Bethaz, Paolo Apiletti, Daniele Baldini, Fabrizio Pio Caso, Carlo Cerquitelli, Tania Department of control and computer engineering Politecnico di Torino Torino Italy Italy T2D Transfer to Digital Salerno Italy
In the age of connected vehicles, large amounts of data can be collected while driving through a variety of on-board sensors. The information collected can be used for various types of data-driven analytics that can b... 详细信息
来源: 评论
Real Time Sound Source Localization Using von-Mises ResNet
Real Time Sound Source Localization Using von-Mises ResNet
收藏 引用
2024 IEEE/SICE International Symposium on System Integration, SII 2024
作者: Bozkurtlar, Mert Yen, Benjamin Itoyama, Katsutoshi Nakadai, Kazuhiro School of Engineering Tokyo Institute of Technology Department of Systems and Control Engineering 2-12-1 Ookayama Meguro-ku Tokyo152-8552 Japan Istanbul Technical University Faculty of Management Department of Industrial Engineering Maçka/Beşiktaş/Harbiye Istanbul34367 Turkey Istanbul Technical University Faculty of Computer and Informatics Engineering Department of Computer Engineering Sariyer/Ayazaga Istanbul34485 Turkey The Nakadai Lab Japan Honda Research Institute Japan Co. Ltd 8-1 Honcho Saitama Wako351-0188 Japan
This paper addresses the task of learning periodic information using deep neural networks to achieve real-time, environment-independent sound source localization. Previous papers showed phase data is the most signific... 详细信息
来源: 评论