咨询与建议

限定检索结果

文献类型

  • 51,252 篇 会议
  • 6,257 篇 期刊文献
  • 382 篇 学位论文
  • 171 册 图书
  • 5 篇 资讯
  • 4 篇 专利
  • 4 篇 科技报告

馆藏范围

  • 58,075 篇 电子文献
  • 2 种 纸本馆藏

日期分布

学科分类号

  • 33,206 篇 工学
    • 15,957 篇 计算机科学与技术...
    • 9,304 篇 控制科学与工程
    • 9,183 篇 软件工程
    • 7,523 篇 电气工程
    • 4,764 篇 机械工程
    • 3,073 篇 信息与通信工程
    • 2,539 篇 化学工程与技术
    • 2,256 篇 材料科学与工程(可...
    • 2,016 篇 动力工程及工程热...
    • 1,902 篇 仪器科学与技术
    • 1,714 篇 石油与天然气工程
    • 1,463 篇 电子科学与技术(可...
    • 1,407 篇 力学(可授工学、理...
    • 1,392 篇 土木工程
    • 1,181 篇 航空宇航科学与技...
    • 1,169 篇 交通运输工程
    • 1,097 篇 安全科学与工程
    • 1,064 篇 环境科学与工程(可...
    • 1,053 篇 生物医学工程(可授...
    • 908 篇 建筑学
  • 12,720 篇 理学
    • 6,317 篇 数学
    • 3,893 篇 物理学
    • 2,952 篇 统计学(可授理学、...
    • 1,896 篇 系统科学
    • 1,821 篇 化学
    • 1,128 篇 生物学
  • 7,222 篇 管理学
    • 6,074 篇 管理科学与工程(可...
    • 2,106 篇 工商管理
    • 1,460 篇 图书情报与档案管...
  • 1,564 篇 医学
    • 1,034 篇 临床医学
  • 903 篇 经济学
  • 552 篇 法学
  • 460 篇 农学
  • 410 篇 教育学
  • 114 篇 文学
  • 104 篇 军事学
  • 41 篇 艺术学
  • 7 篇 哲学
  • 4 篇 历史学

主题

  • 4,927 篇 computational mo...
  • 4,160 篇 data models
  • 3,967 篇 process control
  • 3,186 篇 analytical model...
  • 2,388 篇 predictive model...
  • 1,987 篇 mathematical mod...
  • 1,823 篇 data mining
  • 1,736 篇 control systems
  • 1,269 篇 training
  • 1,218 篇 data analysis
  • 1,162 篇 accuracy
  • 1,143 篇 biological syste...
  • 1,047 篇 monitoring
  • 1,042 篇 algorithm design...
  • 1,033 篇 feature extracti...
  • 987 篇 task analysis
  • 985 篇 stability analys...
  • 884 篇 neural networks
  • 848 篇 machine learning
  • 842 篇 modeling

机构

  • 38 篇 college of infor...
  • 37 篇 school of automa...
  • 36 篇 beijing univ tec...
  • 36 篇 univ chinese aca...
  • 36 篇 faculty of infor...
  • 35 篇 northeastern uni...
  • 34 篇 china electric p...
  • 30 篇 beihang univ sch...
  • 30 篇 state key labora...
  • 28 篇 college of contr...
  • 24 篇 hubei key labora...
  • 22 篇 school of inform...
  • 21 篇 华北电力大学
  • 20 篇 halliburton unit...
  • 20 篇 northeastern uni...
  • 19 篇 ibm thomas j. wa...
  • 18 篇 tsinghua univers...
  • 17 篇 shanghai jiao to...
  • 17 篇 shanghai univ sc...
  • 17 篇 state key labora...

作者

  • 55 篇 zhao chunhui
  • 43 篇 liu yang
  • 41 篇 zhang lei
  • 39 篇 li li
  • 37 篇 wu min
  • 36 篇 wang lei
  • 33 篇 li yang
  • 30 篇 gao furong
  • 27 篇 lei wang
  • 26 篇 xu yuan
  • 25 篇 li xin
  • 23 篇 wang jian
  • 22 篇 weske mathias
  • 22 篇 zhu qunxiong
  • 21 篇 wang jing
  • 21 篇 jing zhang
  • 20 篇 jian wang
  • 20 篇 yu wang
  • 20 篇 wang hui
  • 20 篇 zhang chao

语言

  • 55,586 篇 英文
  • 1,497 篇 中文
  • 911 篇 其他
  • 34 篇 俄文
  • 18 篇 西班牙文
  • 14 篇 德文
  • 14 篇 葡萄牙文
  • 12 篇 法文
  • 5 篇 日文
  • 5 篇 土耳其文
  • 4 篇 荷兰文
  • 3 篇 乌克兰文
  • 2 篇 捷克文
  • 1 篇 意大利文
  • 1 篇 波兰文
检索条件"任意字段=Conference on Data Analysis and Modeling for Process Control"
58075 条 记 录,以下是491-500 订阅
排序:
Layered data-Centric AI to Streamline data Quality Practices for Enhanced Automation  19th
Layered Data-Centric AI to Streamline Data Quality Practice...
收藏 引用
19th International conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024
作者: Akmal, Muhammad Uzair Asif, Saara Koval, Leonid Mathias, Selvine G. Knollmeyer, Simon Grossmann, Daniel AImotion Bavaria Technische Hochschule Ingolstadt Ingolstadt85049 Germany Faculty of Computer Science and Data Processing Technische Hochschule Ingolstadt Ingolstadt85049 Germany
Most artificial intelligence (AI) applications are designed under the model-centric AI (MCAI) approach, where data scientists aim to optimize the machine learning (ML) models starting with fixed, preprocessed data. Ho... 详细信息
来源: 评论
Learning Reduced-Order Quadratic-Linear Models in process Engineering Using Operator Inference
Learning Reduced-Order Quadratic-Linear Models in Process E...
收藏 引用
European conference on Numerical Mathematics and Advanced Applications, ENUMATH 2023
作者: Gosea, Ion Victor Peterson, Luisa Goyal, Pawan Bremer, Jens Sundmacher, Kai Benner, Peter Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstr. 1 Magdeburg39106 Germany Clausthal University of Technology Leibnizstr. 17 Clausthal-Zellerfeld38678 Germany Otto von Guericke University Universitaetsplatz 2 Magdeburg39106 Germany
In this work, we address the challenge of efficiently modeling dynamical systems in process engineering. We use reduced-order model learning, specifically operator inference - a non-intrusive, data-driven method for u... 详细信息
来源: 评论
Methods for Creating Contextual Models of Subject Areas
Methods for Creating Contextual Models of Subject Areas
收藏 引用
International Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)
作者: Nikita G. Vorobyov Anna Yu. Philippovich Moscow Polytechnic University Moscow Russian Federation Bauman Moscow State Technical University Moscow Russian Federation
The aim of the study is to evaluate the methods of autonomous collection and use of local contexts for selecting an answer option by an intelligent system in the dialog interaction process. The following research meth... 详细信息
来源: 评论
Algorithmic Trading Machine Learning Modelling and Forecasting Subsystems Integration and data Transformation process Automation for a data Warehouse
Algorithmic Trading Machine Learning Modelling and Forecasti...
收藏 引用
Annual IEEE Systems conference
作者: Ajitesh Parihar Dolcy Sareen Dylan Huitema Kristina Cormier Youry Khmelevsky Gaétan Hains Albert Wong Computer Science Okanagan College Kelowna Canada LACL Université Paris-Est Créteil France Mathematics and Statistics Langara College Vancouver Canada
A DW is needed to efficiently and continuously prepare data for practical real-time data analysis and forecasting with machine learning (ML) algorithms. This paper discusses extraction, transformation, and loading pro... 详细信息
来源: 评论
Spatial modeling with Automated Machine Learning and Gaussian process Regression Techniques for Imputing Wafer Acceptance Test data
Spatial Modeling with Automated Machine Learning and Gaussia...
收藏 引用
Design, Automation and Test in Europe conference and Exhibition
作者: Ming-Chun Wei Chun-Wei Shen Hsun-Ping Hsieh Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University Tainan Taiwan
The Wafer Acceptance Test (WAT) is a significant quality control measurement in the semiconductor industry. However, because the WAT process can be time-consuming and expensive, sampling test is commonly employed duri... 详细信息
来源: 评论
Measurement and analysis of Extrusion Forces in Filament-Based Additive Manufacturing Technologies Using ABS Filament  24th
Measurement and Analysis of Extrusion Forces in Filament-Bas...
收藏 引用
24th International Symposium for Production Research, ISPR 2024
作者: Christodoulou, Ioannis Trikkas, Antonios Markopoulos, Angelos School of Mechanical Engineering National Technical University of Athens Zografou Greece
This paper explores the measurement and analysis of extrusion forces in the Fused Deposition modeling (FDM) process, utilizing a custom-built 3D printer designed for high-performance additive manufacturing. A load cel... 详细信息
来源: 评论
Design and analysis of Smart Health Care Predictions Using Machine Learning  2
Design and Analysis of Smart Health Care Predictions Using M...
收藏 引用
2nd International conference on Machine Learning and Autonomous Systems, ICMLAS 2025
作者: Ashok kumar, V. Priyatharsini, G.Soniya Bhimaavarapu, Krishna Charaan, R.M.Dilip Konakalla, Jai Prakash Chandralekha, E. Vel Tech Rangarajan Dr.Sagunthala R& D Institute of Science and Technology Department of CSE Chennai India Dr. M.G.R. Educational And Research Institute Department of CSE Chennai India Koneru Lakshmaiah Education Foundation Department of CSE Andhra Pradesh India Swarnandhra college of engineering and technology Department of AI & ML Andhra Pradesh India
Smart Health Prediction Using Machine Learning' is a state-of-the-art, advanced system that will use high-power predictive modeling to predict diseases based on the entered symptoms. The proposed system will go th... 详细信息
来源: 评论
Steady Flow analysis Performed for Flood Inundation Mapping Using HEC-RAS  1
收藏 引用
28th International conference on Hydraulics, Water Resources, River and Coastal Engineering, HYDRO 2023
作者: Narahari, Megavath Rawal, N.R. Soni, Pramod Department of Civil Engineering Motilal Nehru National Institute of Technology Allahabad Uttar Pradesh Prayagraj211004 India Varanasi Varanasi India
Floods are a serious threat to human lives and property, with causes ranging from heavy rainfall to human-induced land-use changes and resulting hydrological consequences. In particular, the northern regions of India,... 详细信息
来源: 评论
Optimizing C-Band Antenna Performance Through Integration with Frequency Selective Surfaces: Design and HFSS analysis  5th
Optimizing C-Band Antenna Performance Through Integration wi...
收藏 引用
5th International conference on data Science, Machine Learning and Applications, ICDSMLA 2023
作者: Jyothi, N. Krishna Anusha, Chilupuri Department of Electronics and Communication Engineering G. Narayanamma Institute of Technology and Science Telangana Hyderabad India
This research focuses on the design and optimization of antennas tailored for C-band frequency applications, spanning the microwave range of 4GHz to 8GHz. Two distinct antennas are meticulously crafted to cater to spe... 详细信息
来源: 评论
A Deep Reinforcement Learning Model for the Automation of a Collaborative Purchasing process  2nd
A Deep Reinforcement Learning Model for the Automation of a ...
收藏 引用
2nd Decision Science Alliance International Summer conference, DSA ISC 2024
作者: Seni, Mario J. Peidro, David Escuela Técnica Superior de Ingeniería Industrial Universidad Politécnica de Valencia Valencia Spain Centro de Investigación en Gestión E Ingeniería de Producción Universidad Politécnica de Valencia Valencia Spain
This study presents a comparative analysis between a mixed integer linear programming (MILP) model and a single-agent artificial intelligence (AI) model trained with deep reinforcement learning (DRL) to optimize procu... 详细信息
来源: 评论