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检索条件"主题词=Algorithm development"
1737 条 记 录,以下是191-200 订阅
Satellite remote sensing of harmful algal blooms: A new multi-algorithm method for detecting the Florida Red Tide (Karenia brevis)
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HARMFUL ALGAE 2010年 第5期9卷 440-448页
作者: Carvalho, Gustavo A. Minnett, Peter J. Fleming, Lora E. Banzon, Viva F. Baringer, Warner Univ Miami Rosenstiel Sch Marine & Atmospher Sci Div Meteorol & Phys Oceanog Miami FL 33149 USA Univ Miami Rosenstiel Sch Marine & Atmospher Sci NSF NIEHS Oceans & Human Hlth Ctr Miami FL 33149 USA Univ Miami Miller Sch Med Dept Epidemiol & Publ Hlth Miami FL 33149 USA NOAA NESDIS Remote Sensing & Applicat Div Natl Climat Data Ctr Asheville NC USA
In a continuing effort to develop suitable methods for the surveillance of harmful algal blooms (HABs) of Karenia brevis using satellite radiometers, a new multi-algorithm method was developed to explore whether impro... 详细信息
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Process and alarm data integration under a two-stage Bayesian framework for fault diagnostics
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IFAC-PapersOnLine 2018年 第24期51卷 1220-1226页
作者: Stief, Anna Ottewill, James R. Tan, Ruomu Cao, Yi ABB Corporate Research Center ul. Starowislna 13a Krakow31-038 Poland School of Water Energy and Environment Cranfield University CranfieldUK MK43 0AL United Kingdom College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China
Process and alarm data are usually available from industrial processes. It is common practice to use process data for process monitoring and diagnostics. In contrast, alarm data is typically used to determine the inst... 详细信息
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Automatic determination of stream networks from DEMs by using road network data to locate culverts
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INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 2019年 第2期33卷 291-313页
作者: Makinen, Ville Oksanen, Juha Sarjakoski, Tapani Natl Land Survey Finland Finnish Geospatial Res Inst FGI Dept Geoinformat & Cartog Masala Finland
Determining stream networks automatically from digital elevation models is an issue that is actively being studied. The quality of elevation models has increased over time, but many hydrologically critical features, s... 详细信息
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Simulation As A Tool In Designing And Evaluating A Robotic Apple Harvesting System
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IFAC-PapersOnLine 2018年 第17期51卷 135-140页
作者: Wang, Heng Hohimer, Cameron J. Bhusal, Santosh Karkee, Manoj Mo, Changki Miller, John H. Washington State University Tri-Cities 2710 Crimson Way RichlandWA99354 United States Washington State University 24106 N. Bunn Rd ProsserWA99350 United States
During the past several years, significant effort has been made to develop a robotic system to harvest fresh market apples in a modern apple orchard at Washington State University (WSU). This system has gone through s... 详细信息
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Stratifying asthma severity in children using cough sound analytic technology
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JOURNAL OF ASTHMA 2021年 第2期58卷 160-169页
作者: Swarnkar, Vinayak Abeyratne, Udantha Tan, Jamie Ng, Ti Wan Brisbane, Joanna M. Choveaux, Jennifer Porter, Paul Univ Queensland Sch Informat Technol & Elect Engn Brisbane Qld Australia Joondalup Hlth Campus Dept Paediat Joondalup WA Australia Joondalup Hlth Campus Joondalup WA Australia Curtin Univ Sch Nursing Midwifery & Paramed Bentley WA Australia Perth Childrens Hosp Dept Emergency Med Nedlands WA Australia
Introduction: Asthma is a common childhood respiratory disorder characterized by wheeze, cough and respiratory distress responsive to bronchodilator therapy. Asthma severity can be determined by subjective, manual sco... 详细信息
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AI in radiology: From promise to practice - A guide to effective integration
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EUROPEAN JOURNAL OF RADIOLOGY 2024年 181卷 111798-111798页
作者: Katal, Sanaz York, Benjamin Gholamrezanezhad, Ali Los Angeles Gen Med Ctr Dept Radiol 1200 N State St Los Angeles CA 90033 USA St Vincents Hosp Melbourne Dept Med Imaging 41 Victoria Parade Fitzroy Vic 3065 Australia
While Artificial Intelligence (AI) has the potential to transform the field of diagnostic radiology, important obstacles still inhibit its integration into clinical environments. Foremost among them is the inability t... 详细信息
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Estimating CDOM Concentration in Highly Turbid Estuarine Coastal Waters
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JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 2018年 第8期123卷 5856-5873页
作者: Zhao, Jun Cao, Wenxi Xu, Zhantang Ai, Bin Yang, Yuezhong Jin, Guangzhen Wang, Guifen Zhou, Wen Chen, Yong Chen, Haiyun Sun, Zhaohua Sun Yat Sen Univ Sch Marine Sci Guangzhou Guangdong Peoples R China Chinese Acad Sci South China Sea Inst Oceanol State Key Lab Trop Oceanog Guangzhou Guangdong Peoples R China Hohai Univ Coll Oceanog Nanjing Jiangsu Peoples R China Chinese Acad Sci South China Sea Inst Oceanol Key Lab Ocean & Marginal Sea Geol Guangzhou Guangdong Peoples R China
We proposed a support vector machine (SVM) algorithm to retrieve colored dissolved organic matter (CDOM) concentration (using a(g)(443) as a proxy) in the highly turbid Pearl River estuary. Two band ratios, namely, R-... 详细信息
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Analytics of Heterogeneous Process Data: Multiphase Flow Facility Case Study
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IFAC-PapersOnLine 2018年 第18期51卷 363-368页
作者: Stief, Anna Tan, Ruomu Cao, Yi Ottewill, James R. ABB Corporate Research Center ul. Starowislna 13a Krakow31-038 Poland School of Water Energy and Environment Cranfield University CranfieldMK43 0AL United Kingdom College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China
Improvements in sensing, connectivity and computing technologies mean that industrial processes now generate a vast amount of data from a variety of disparate sources. Data may take a number of different forms, from d... 详细信息
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Machine-learning for biopharmaceutical batch process monitoring with limited data
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IFAC-PapersOnLine 2018年 第18期51卷 126-131页
作者: Tulsyan, Aditya Garvin, Christopher Undey, Cenk Digital Integration & Predictive Technologies Amgen Inc. 360 Binney Street CambridgeMA02141 United States Digital Integration & Predictive Technologies Amgen Inc. 40 Technology Way West GreenwichRI02817 United States Digital Integration & Predictive Technologies Amgen Inc. One Amgen Center Drive Thousand OaksCA91320 United States
Commercial biopharmaceutical manufacturing comprises of multiple distinct processing steps that require effective and efficient monitoring of many variables simultaneously in real-time. This article addresses the prob... 详细信息
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Deep learning application engine (DLAE): development and integration of deep learning algorithms in medical imaging
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SOFTWAREX 2019年 10卷 100347页
作者: Sanders, Jeremiah W. Fletcher, Justin R. Frank, Steven J. Liu, Ho-Ling Johnson, Jason M. Zhou, Zijian Chen, Henry Szu-Meng Venkatesan, Aradhana M. Kudchadker, Rajat J. Pagel, Mark D. Ma, Jingfei Univ Texas MD Anderson Canc Ctr Dept Imaging Phys 1515 Holcombe BlvdUnit 1472 Houston TX 77030 USA MD Anderson Canc Ctr UTHlth Grad Sch Biomed Sci Med Phys Grad Program 1515 Holcombe BlvdUnit 1472 Houston TX 77030 USA Odyssey Syst Consulting LLC 550 Lipoa Pkwy Maui HI USA Univ Texas MD Anderson Canc Ctr Dept Radiat Oncol 1515 Holcombe BlvdUnit 1422 Houston TX 77030 USA Univ Texas MD Anderson Canc Ctr Dept Diagnost Radiol 1515 Holcombe BlvdUnit 1473 Houston TX 77030 USA Univ Texas MD Anderson Canc Ctr Dept Radiat Phys 1515 Holcombe BlvdUnit 1420 Houston TX 77030 USA Univ Texas MD Anderson Canc Ctr Dept Canc Syst Imaging 1515 Holcombe BlvdUnit 1907 Houston TX 77030 USA
Herein we introduce a deep learning (DL) application engine (DLAE) system concept, present potential uses of it, and describe pathways for its integration in clinical workflows. An open-source software application was... 详细信息
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