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检索条件"机构=Department "Automation and Control of Technology Process in Production""
213053 条 记 录,以下是131-140 订阅
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Levels of Digitization, Digitalization, and automation for Advanced Reactors  67th
Levels of Digitization, Digitalization, and Automation for A...
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67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023
作者: Boring, Ronald L. Ulrich, Thomas A. Lew, Roger Human Factors and Reliability Department Idaho National Laboratory Idaho FallsID United States Virtual Technology and Design Program University of Idaho MoscowID United States
Much has been written about levels of automation (LOA), but comparatively little has been written about levels of digitization (LODi) and levels of digitalization (LODa). Digitization is a digital representation of an... 详细信息
来源: 评论
Evaluating Healthcare automation: A Multi-Case Study on the Utilization of automation Initiatives in Healthcare Operations  16
Evaluating Healthcare Automation: A Multi-Case Study on the ...
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16th International Conference on Knowledge Management and Information Systems, KMIS 2024 as part of 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2024
作者: Kaitosalmi, Jani Ratia, Milla Department of Industrial Engineering and Management Aalto University Otakaari 1B Espoo Finland
automation technologies such as robotic process automation (RPA) and intelligent automation (IA) are essential for managing rising healthcare costs and ensuring sustainable health services. Although these solutions ha... 详细信息
来源: 评论
Improved control Strategy for Carbonized Cable Preparation in Low-voltage Arc Fault Test
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Chinese Journal of Electrical Engineering 2023年 第4期9卷 122-131页
作者: Liwei Du Zhihong Xu Duanyu Chen College of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108China Fujian Key Laboratory of New Energy Generation and Power Conversion Fuzhou UniversityFuzhou 350108China Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment Fuzhou UniversityFuzhou 350108China Department of Electrical Engineering Yuan Ze UniversityTaiwan 32003China
Outdated testing methods hinder the success rate of carbonized cable preparation in low-voltage arc fault tests,leading to incomplete tests and high failure *** address this issue,we finely categorized the preparation... 详细信息
来源: 评论
Hybrid prediction model for strip width based on improved mechanism and data-driven model
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Journal of Iron and Steel Research International 2025年 第3期32卷 720-732页
作者: Jia-liang Wang Jing-cheng Wang Chao-bo Chen Kang-bo Dang Song Gao School of Electronic and Information Engineering Xi’an Technological UniversityXi’an710012ShaanxiChina Department of Automation Shanghai JiaoTong UniversityShanghai200030China
Accurate prediction of strip width is a key factor related to the quality of hot rolling ***,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calculation model is... 详细信息
来源: 评论
DeepQ Based Automated Irrigation Systems Using Deep Belief WSN
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Intelligent automation & Soft Computing 2023年 第3期35卷 3415-3427页
作者: E.Gokulakannan Department of Computer Science and Engineering MRK Institute of TechnologyCuddalore608301TamilnaduIndia
Deep learning is the subset of artificial intelligence and it is used for effective decision *** Sensor based automated irrigation system is proposed to monitor and cultivate *** system consists of Distributed wire-les... 详细信息
来源: 评论
Active sensing in froth flotation
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International Journal of Mining and Mineral Engineering 2024年 第2期15卷 111-130页
作者: Salo, Mikko Juntunen, Teijo Ritala, Risto Department of Automation Technology and Mechanical Engineering Tampere University Tampere Finland
The idea of active sensing is to embed sensor systems with intelligence to require less human interaction. Accurate but limited main measurement systems are complemented with broadband auxiliary measurements that gath... 详细信息
来源: 评论
Machine learning-driven optimization of plasma-catalytic dry reforming of methane
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Journal of Energy Chemistry 2024年 第9期96卷 153-163页
作者: Yuxiang Cai Danhua Mei Yanzhen Chen Annemie Bogaerts Xin Tu Department of Electrical Engineering and Electronics University of LiverpoolLiverpool L693GJUK Research Group PLASMANT Department of ChemistryUniversity of AntwerpUniversiteitsplein 1BE-2610 Wilrijk-AntwerpBelgium College of Electrical Engineering and Control Science Nanjing Tech UniversityNanjing 211816JiangsuChina
This study investigates the dry reformation of methane(DRM)over Ni/Al_(2)O_(3)catalysts in a dielectric barrier discharge(DBD)non-thermal plasma reactor.A novel hybrid machine learning(ML)model is developed to optimiz... 详细信息
来源: 评论
Graph-guided masked autoencoder for process anomaly detection
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process Safety and Environmental Protection 2024年 186卷 1345-1357页
作者: Jia, Mingwei Xu, Danya Yang, Tao Yao, Yuan Liu, Yi Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou310023 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Department of Chemical Engineering National Tsing Hua University Hsinchu300044 Taiwan
Developing an accurate and reliable anomaly detection model is of great significance for safe operation in the process industry. To minimize false positives, it is crucial to accurately model the intricate topological... 详细信息
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Human-AI Partnership to Improve Construction Workers’ Experience on Safety, Performance, and Health: A Systematic Review of The North American Construction Industry
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Journal of Engineering, Project, and production Management 2025年 第1期15卷 1-10页
作者: Sakib, Nazmus Behzadan, Amir H. Department of Civil Engineering University of Texas at Arlington 416 Yates St. NH 437 ArlingtonTX76019 United States Department of Civil Environmental and Architectural Engineering University of Colorado Boulder 1440 15th St IBS 267 BoulderCO80309 United States
Although construction is one of the oldest sectors of the global economy, the digital innovation and application of artificial intelligence (AI) in the industry are still insignificant. For the past several years, how... 详细信息
来源: 评论
A hybrid machine learning approach based study of production forecasting and factors influencing the multiphase flow through surface chokes
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Petroleum 2024年 第2期10卷 354-371页
作者: Waquar Kaleem Saurabh Tewari Mrigya Fogat Dmitriy A.Martyushev Department of Industrial and Manufacturing Engineering The Pennsylvania State UniversityUniversity ParkPA16802United States Department of Data Sciences Gyan Ganga Institute of Technology and SciencesJabalpur482002India Department of Petroleum and Geo-Engineering Rajiv Gandhi Institute of Petroleum Technology JaisBahadurpur229304India Department of Oil and Gas Technologies Perm National Research Polytechnic UniversityPerm614990Russia
Surface chokes are widely utilized equipment installed on wellheads to control hydrocarbon flow *** correlations have been suggested to model the multiphase flow of oil and gas via surface ***,substantial errors have ... 详细信息
来源: 评论