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检索条件"机构=Program in Engineering Statistics"
493 条 记 录,以下是221-230 订阅
排序:
Design and Application Data Collection for integrated evaluation and monitoring
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IOP Conference Series: Materials Science and engineering 2021年 第1期1088卷
作者: Muhammad Hidayatullah Agus Teguh Wahyudi Shinta Esabella Titi Andriani G Gunawan Faculty of Engineering Universitas Teknologi Sumbawa Indonesia. 84371 Office of Informatics and Statistics Communication Sumbawa Regency Indonesia. Physics Education Study Program Faculty of Teacher Training and Education Universitas Mataram Indonesia. 83125
The process of data collection of tax subjects and objects at the Regional Revenue Agency (BAPENDA) of Sumbawa Regency is still manual, where the subject and tax object data are still managed in the form of records on...
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DeePN2: A deep learning-based non-Newtonian hydrodynamic model
arXiv
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arXiv 2021年
作者: Fang, Lidong Ge, Pei Zhang, Lei Weinan, E. Lei, Huan Department of Computational Mathematics Science and Engineering Michigan State University MI48824 United States School of Mathematical Sciences Institute of Natural Sciences and MOE-LSC Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China Center for Machine Learning Research School of Mathematical Sciences Peking University Beijing100871 China AI for Science Institute Beijing100080 China Department of Mathematics and Program in Applied and Computational Mathematics Princeton University NJ08544 United States Department of Statistics and Probability Michigan State University MI48824 United States
A long standing problem in the modeling of non-Newtonian hydrodynamics of polymeric flows is the availability of reliable and interpretable hydrodynamic models that faithfully encode the underlying micro-scale polymer... 详细信息
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Classification of EEG-based brain connectivity networks in schizophrenia using a multi-domain connectome convolutional neural network
arXiv
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arXiv 2019年
作者: Phang, Chun-Ren Ting, Chee-Ming Noman, Fuad Ombao, Hernando School of Biomedical Engineering & Health Sciences Universiti Teknologi Malaysia Skudai Johor81310 Malaysia Statistics Program King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia
Objective: We exploit altered patterns in brain functional connectivity as features for automatic discriminative analysis of neuropsychiatric patients. Deep learning methods have been introduced to functional network ... 详细信息
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Modeling the number of confirmed cases of COVID-19 in East Java using negative binomial regression based on least square spline estimator
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AIP Conference Proceedings 2024年 第1期3083卷
作者: Arip Ramadan Nur Chamidah I. Nyoman Budiantara Student of Doctoral Study Program of Mathematics and Natural Sciences Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia. Department of Information System School of Industrial and System Engineering Telkom University Surabaya 60231 Indonesia. Department of Mathematics Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia. Research Group of Statistical Modeling in Life Science Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia. Department of Statistics Faculty of Sciences and Data Analytics Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia.
The East Java Province has experienced a significant surge in number of confirmed cases of COVID-19. This study endeavors to investigate the potential correlation between weather conditions and the incidence of number...
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Which ads to show? Advertisement image assessment with auxiliary information via multi-step modality fusion
arXiv
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arXiv 2019年
作者: Park, Kyung-Wha Lee, JungHoon Kwon, Sunyoung Ha, Jung-Woo Kim, Kyung-Min Zhang, Byoung-Tak Interdisciplinary Program in Neuroscience Seoul National University Statistics and Actuarial Science Soongsil University Clova AI Research NAVER Corp Department of Computer Science and Engineering Seoul National University Surromind Robotics
Assessing aesthetic preference is a fundamental task related to human cognition. It can also contribute to various practical applications such as image creation for online advertisements. Despite crucial influences of... 详细信息
来源: 评论
Artificial intelligence for modelling infectious disease epidemics
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Nature 2025年 第8051期638卷 623-635页
作者: Kraemer, Moritz U. G. Tsui, Joseph L.-H. Chang, Serina Y. Lytras, Spyros Khurana, Mark P. Vanderslott, Samantha Bajaj, Sumali Scheidwasser, Neil Curran-Sebastian, Jacob Liam Semenova, Elizaveta Zhang, Mengyan Unwin, H. Juliette T. Watson, Oliver J. Mills, Cathal Dasgupta, Abhishek Ferretti, Luca Scarpino, Samuel V. Koua, Etien Morgan, Oliver Tegally, Houriiyah Paquet, Ulrich Moutsianas, Loukas Fraser, Christophe Ferguson, Neil M. Topol, Eric J. Duchêne, David A. Stadler, Tanja Kingori, Patricia Parker, Michael J. Dominici, Francesca Shadbolt, Nigel Suchard, Marc A. Ratmann, Oliver Flaxman, Seth Holmes, Edward C. Gomez-Rodriguez, Manuel Schölkopf, Bernhard Donnelly, Christl A. Pybus, Oliver G. Cauchemez, Simon Bhatt, Samir Pandemic Sciences Institute University of Oxford Oxford United Kingdom Department of Biology University of Oxford Oxford United Kingdom Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States UCSF UC Berkeley Joint Program in Computational Precision Health Berkeley CA United States Division of Systems Virology Department of Microbiology and Immunology The Institute of Medical Science The University of Tokyo Tokyo Japan Section of Epidemiology Department of Public Health University of Copenhagen Copenhagen Denmark Oxford Vaccine Group University of Oxford and NIHR Oxford Biomedical Research Centre Oxford United Kingdom Department of Epidemiology and Biostatistics Imperial College London London United Kingdom Department of Computer Science University of Oxford Oxford United Kingdom School of Mathematics University of Bristol Bristol United Kingdom MRC Centre for Global Infectious Disease Analysis School of Public Health Imperial College London London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Doctoral Training Centre University of Oxford Oxford United Kingdom Institute for Experiential AI Northeastern University MA Boston Thailand Santa Fe Institute Santa Fe NM United States World Health Organization Regional Office for Africa Brazzaville Congo WHO Hub for Pandemic and Epidemic Intelligence Health Emergencies Programme World Health Organization Berlin Germany Centre for Epidemic Response and Innovation (CERI) School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa African Institute for Mathematical Sciences (AIMS) South Africa Muizenberg Cape Town South Africa Genomics England London United Kingdom Scripps Research La Jolla CA United States Department of Biosystems Science and Engineering ETH Zürich Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland The Ethox Centre Nuffield
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in e...
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Inferring a network from dynamical signals at its nodes
arXiv
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arXiv 2020年
作者: Weistuch, Corey Agozzino, Luca Mujica-Parodi, Lilianne R. Dill, Ken Laufer Center for Physical and Quantitative Biology Stony Brook University Department of Applied Mathematics and Statistics Stony Brook University Department of Physics and Astronomy Stony Brook University Department of Biomedical Engineering Stony Brook University Program in Neuroscience Stony Brook University Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School Department of Chemistry Stony Brook University
We give an approximate solution to the difficult inverse problem of inferring the topology of an unknown network from given time-dependent signals at the nodes. For example, we measure signals from individual neurons ... 详细信息
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A Consensus Privacy Metrics Framework for Synthetic Data
arXiv
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arXiv 2025年
作者: Pilgram, Lisa Dankar, Fida K. Drechsler, Jörg Elliot, Mark Domingo-Ferrer, Josep Francis, Paul Kantarcioglu, Murat Kong, Linglong Malin, Bradley Muralidhar, Krishnamurty Myles, Puja Prasser, Fabian Raisaro, Jean Louis Yan, Chao El Emam, Khaled School of Epidemiology and Public Health University of Ottawa ON Canada CHEO Research Institute ON Canada Department of Nephrology and Medical Intensive Care Charité – Universitätsmedizin Berlin Berlin Germany Department for Statistical Methods Institute for Employment Research Nuernberg Germany Institute for Statistics Ludwig-Maximilians-Universität Munich Germany Joint Program in Survey Methodology University of Maryland United States The Cathie Marsh Institute Research School of Social Sciences University of Manchester Manchester United Kingdom Department of Computer Engineering and Mathematics Universitat Rovira i Virgili Catalonia Tarragona Spain Max Planck Institute for Software Systems Germany Department of Computer Science Virginia Tech United States Department of Mathematical and Statistical Sciences University of Alberta Alberta Canada Department of Biomedical Informatics Vanderbilt University Medical Center NashvilleTN United States Department of Biostatistics Vanderbilt University Medical Center NashvilleTN United States Department of Computer Science Vanderbilt University NashvilleTN United States Department of Marketing and Supply Chain Management University of Oklahoma Oklahoma United States Medicines and Healthcare products Regulatory Agency London United Kingdom Berlin Institute of Health at Charité Universitätsmedizin Berlin Medical Informatics Group Berlin Germany Biomedical Data Science Center University Hospital Lausanne Lausanne Switzerland
Synthetic data generation is one approach for sharing individual-level data. However, to meet legislative requirements, it is necessary to demonstrate that the individuals’ privacy is adequately protected. There is n... 详细信息
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Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction
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Scientific reports 2025年 第1期15卷 17858页
作者: Kuo-Yang Huang Ying-Lin Hsu Che-Liang Chung Huang-Chi Chen Ming-Hwarng Horng Ching-Hsiung Lin Ching-Sen Liu Jia-Lang Xu Division of Chest Medicine Department of Internal Medicine Changhua Christian Hospital Changhua Taiwan. Institute of Genomics and Bioinformatics National Chung Hsing University Taichung Taiwan. Ph.D. Program in Medical Biotechnology National Chung Hsing University Taichung Taiwan. Institute of Statistics National Chung Hsing University Taichung Taiwan. Department of Applied Mathematics National Chung Hsing University Taichung Taiwan. Division of Chest Medicine Department of Internal Medicine Yuanlin Christian Hospital Changhua Taiwan. Department of Computer Science and Information Engineering Chaoyang University of Technology Taichung Taiwan. jlxu@cyut.edu.tw.
The advancement of the Internet of Medical Things (IoMT) has revolutionized data acquisition and processing in critical care settings. Given the pivotal role of ventilators, accurately predicting extubation outcomes i... 详细信息
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Epileptic Seizure Detection Based on Bandwidth Features of EEG Signals
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Procedia Computer Science 2019年 161卷 568-576页
作者: Diah P. Wulandari Nomala G.P. Putriz Yoyon K. Suprapto Santi W. Purnami Anda I. Juniani Wardah R. Islamiyah Dept. of Computer Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia Dept. of Statistics Institut Teknologi Sepuluh Nopember Surabaya Indonesia Design and Manufacture Study Program Politeknik Perkapalan Negeri Surabaya Indonesia Dept. of Neurology Universitas Airlangga Surabaya Indonesia
Detection of seizure from EEG signals may help neurologist analyze the condition of epileptic patients. Variance in types of epileptic seizures provides challenge in recognizing the pattern of seizure signals from nor... 详细信息
来源: 评论