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检索条件"机构=School of Industrial and Systems Engineering and Data Science and Analytics Program"
94 条 记 录,以下是21-30 订阅
排序:
Learning to Simulate: Generative Metamodeling via Quantile Regression
arXiv
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arXiv 2023年
作者: Hong, L. Jeff Hou, Yanxi Zhang, Qingkai Zhang, Xiaowei Department of Industrial and Systems Engineering University of Minnesota MinneapolisMN55455 United States School of Data Science Fudan University Shanghai200433 China School of Management Fudan University Shanghai200433 China Department of Management Sciences City University of Hong Kong Kowloon Hong Kong Department of Industrial Engineering and Decision Analytics The Hong Kong University of Science and Technology Clear Water Bay Hong Kong
Stochastic simulation models effectively capture complex system dynamics but are often too slow for real-time decision-making. Traditional metamodeling techniques learn relationships between simulator inputs and a sin... 详细信息
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Recent research progress on the direct carbon capture of steel slag to prepare building materials
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Green and Smart Mining engineering 2024年 第4期1卷 387-395页
作者: Zihe Gao Qing Zhao Mengjie Tao Zengrui Wang Chengjun Liu Henrik Saxén Ron Zevenhoven Key Laboratory for Ecological Metallurgy of Multimetallic Mineral(Ministry of Education) Northeastern UniversityShenyang 110819China School of Metallurgy Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China Process and Systems Engineering Laboratory Åbo Akademi UniversityTurku 20500Finland
Driven by the“dual carbon”and“green metallurgy”targets,the steel industry feels the pressure of carbon emission reduction and steel slag resource *** the year 2000,accelerated carbonation technology using basic ox... 详细信息
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Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations
arXiv
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arXiv 2023年
作者: Jafarigol, Elaheh Trafalis, Theodore B. Razzaghi, Talayeh Zamankhani, Mona Data Science and Analytics Institute University of Oklahoma 202 W. Boyd St. Room 409 NormanOK73019 United States School of Industrial and Systems Engineering University of Oklahoma 202 W Boyd St. Room 124 NormanOK73019 United States Department of Industrial Engineering Isfahan University of Technology Isfahan Iran
In the growing world of artificial intelligence, federated learning is a distributed learning framework enhanced to preserve the privacy of individuals' data. Federated learning lays the groundwork for collaborati... 详细信息
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Future Glycemic Events Prediction Model Based On Artificial Neural Network
Future Glycemic Events Prediction Model Based On Artificial ...
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2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022
作者: Syafrudin, Muhammad Alfian, Ganjar Fitriyani, Norma Latif Hadibarata, Tony Rhee, Jongtae Anshari, Muhammad Sejong University Department of Artificial Intelligence Seoul Korea Republic of Universitas Gadjah Mada Department of Electrical Engineering and Informatics Vocational College Yogyakarta Indonesia Sejong University Department of Data Science Seoul Korea Republic of Curtin University Environmental Engineering Program Miri Malaysia Dongguk University Department of Industrial and Systems Engineering Seoul Korea Republic of Universiti Brunei Darussalam School of Business and Economics Brunei
Predicting future glycemic events such as hypoglycemia, hyperglycemia, and normal for type 1 diabetes (T1D) remains a significant and challenging issue. In this study, an artificial neural network (ANN)-based model is... 详细信息
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Exploring cognitive stress-related tasks of Intensive Care Unit nurses – A comparison study  67th
Exploring cognitive stress-related tasks of Intensive Care U...
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67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023
作者: Zhang, Qian Sasangohar, Farzan Saravanan, Pratima Ahmadi, Nima Nisar, Tariq Danesh, Valerie Masud, Faisal Center for Health Data Science and Analytics Houston Methodist Hospital TX United States Department of Industrial and Systems Engineering Texas A&M University College StationTX United States Rensselaer Polytechnic Institute TroyNY United States Baylor Scott & White Health Center for Applied Health Research DallasTX United States School of Nursing University of Texas at Austin AustinTX United States Center for Critical Care Houston Methodist Hospital HoustonTX United States College of Charleston CharlestonNY United States
The aim of this study is to explore nurse activities leading to high cognitive stress for intensive care unit (ICU) nurses. The quantification of stress-related nurse activities has been acquired before and after the ... 详细信息
来源: 评论
Machine Learning, Deep Learning and data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review
arXiv
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arXiv 2023年
作者: Razavi, Moein Ziyadidegan, Samira Mahmoudzadeh, Ahmadreza Kazeminasab, Saber Baharlouei, Elaheh Janfaza, Vahid Jahromi, Reza Sasangohar, Farzan Department of Industrial and Systems Engineering Texas A&M University United States Department of Computer Science and Engineering Texas A&M University United States Harvard Medical School Harvard University United States Department of Computer Science University of Houston United States Engineering Academic and Student Affairs College of Engineering Texas A&M University United States Ford Motor Company Global Data Insight & Analytics
Background: Mental stress and its consequent mental disorders (MDs) constitute a significant public health issue. With the advent of machine learning (ML), there's potential to harness computational techniques for... 详细信息
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Big data in healthcare:Conceptual network structure,key challenges and opportunities
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Digital Communications and Networks 2023年 第4期9卷 856-868页
作者: Leonardo B.Furstenaua Pedro Leivas Michele Kremer Sott Michael S.Dohan Jose Ricardo Lopez-Robles Manuel J.Cobo Nicola Luigi Bragazzi Kim-Kwang Raymond Choo Post-Graduate Program in Industrial Engineering Federal University of Rio Grande Do SulPorto Alegre90035-190Brazil University of Santa Cruz Do Sul Av.Independencia 2293Santa Cruz Do SulRSBrazil Business School Unisinos UniversityAv.Dr.Nilo Peçanha 160091330-002Porto AlegreBrazil Faculty of Business Administration Lakehead UniversityThunder BayOntarioCanada Autonomous University of Zacatecas Av.Ramon Lopez Velarde Col.CentroZacatecas98000Mexico Department of Computer Science and Artificial Intelligence Andalusian Research Institute in Data Science and Computational Intelligence(DaSCI)University of GranadaGranada 18071Spain York University ON M3J 1P3Canada Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249USA
Big data is a concept that deals with large or complex data sets by using data analysis tools(e.g.,data mining,machine learning)to analyze information extracted from several sources *** data has attracted wide attenti... 详细信息
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Eye tracking data analytics in virtual reality training: Application in Deepwater Horizon oil drilling operation  64th
Eye tracking data analytics in virtual reality training: App...
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64th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2020
作者: Kang, Ziho Jeon, Jiwon Salehi, Saeed Industrial and Systems Engineering University of Oklahoma NormanOK United States Data Science and Analytics Program University of Oklahoma NormanOK United States Petroleum and Geological Engineering University of Oklahoma NormanOK United States
Virtual reality (VR) enable us to train in a safe environment using computer-generated simulations. One such simulated environment is the Deepwater Horizon operation, and VR enables us to evaluate trainees’ and opera... 详细信息
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Nanohertz gravitational waves from a quasar-based supermassive black hole binary population model as dark sirens
arXiv
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arXiv 2024年
作者: Xiao, Si-Ren Shao, Yue Wang, Ling-Feng Song, Ji-Yu Feng, Lu Zhang, Jing-Fei Zhang, Xin Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China School of Physics and Optoelectronic Engineering Hainan University Haikou570228 China College of Physical Science and Technology Shenyang Normal University Shenyang110034 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China
Recently, several pulsar timing array (PTA) projects have detected evidence of the existence of a stochastic gravitational wave background (SGWB) in the nanohertz frequency band, providing confidence in detecting indi... 详细信息
来源: 评论
Technology Roadmap for Flexible Sensors
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ACS NANO 2023年 第6期17卷 5211-5295页
作者: Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitati... 详细信息
来源: 评论