المؤلفون: Lening Li, Zijian Liu, Shifa Zhang, Chuankun Li, Wende Tian

المصدر: Chinese Journal of Chemical Engineering. 28:1875-1883

مصطلحات موضوعية: Environmental Engineering, Computer science, business.industry, General Chemical Engineering, Deep learning, Process (computing), Pattern recognition, Feature selection, 02 engineering and technology, General Chemistry, 021001 nanoscience & nanotechnology, Missing data, Biochemistry, Identification (information), Deep belief network, 020401 chemical engineering, Feature (computer vision), Artificial intelligence, Noise (video), 0204 chemical engineering, 0210 nano-technology, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::2441d03b871495a334d2488859243826Test
https://doi.org/10.1016/j.cjche.2020.05.003Test

المؤلفون: Samantha Baxter, Daniel G. MacArthur, Shifa Zhang, Ikeoluwa Osei-Owusu, Lawrence J. Babb, Christina Austin-Tse, Kevin Nguyen, Harindra Arachchi, Lynn Pais, Matthew Solomonson, Katherine R. Chao, Stacy Mano, Gabrielle Lemire, Michael Wilson, Ben Weisburd, Heidi L. Rehm, Grace E. VanNoy, Alysia Kern Lovgren, Emily O'Heir, Stephanie DiTroia, William Phu, Hana Snow, Eleina M. England, Anne H. O’Donnell-Luria, Melanie O’Leary

مصطلحات موضوعية: Data sharing, Annotation, business.industry, Computer science, Web application, Collaboration tool, Identification (biology), Genomics, business, Exome, Data science, Rare disease

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::e3214a005efc15be69ca8601ddb110b5Test
https://doi.org/10.1101/2021.10.27.21265326Test

المؤلفون: Shifa Zhang, Dianbo Liu, Zeng Fu, Hao Deng, Yifeng Yin, Li Huang

المصدر: PLoS ONE
PLoS ONE, Vol 15, Iss 4, p e0230706 (2020)

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computational complexity theory, Databases, Factual, Computer science, Social Sciences, 02 engineering and technology, computer.software_genre, Biochemistry, Machine Learning (cs.LG), Machine Learning, Training (Education), Database and Informatics Methods, Endocrinology, Sociology, Statistics - Machine Learning, Health care, 0202 electrical engineering, electronic engineering, information engineering, Medicine and Health Sciences, Insulin, AdaBoost, 0303 health sciences, Multidisciplinary, Artificial neural network, Applied Mathematics, Simulation and Modeling, Retraining, Hospitals, Intensive Care Units, Physical Sciences, Medicine, 020201 artificial intelligence & image processing, Algorithms, Research Article, Computer and Information Sciences, Boosting (machine learning), Neural Networks, Science, Machine Learning (stat.ML), Machine learning, Research and Analysis Methods, Education, 03 medical and health sciences, Machine Learning Algorithms, Artificial Intelligence, Intensive care, Humans, 030304 developmental biology, Diabetic Endocrinology, business.industry, Biology and Life Sciences, Hormones, Health Care, Health Care Facilities, Artificial intelligence, business, computer, Medical Informatics, Mathematics, Neuroscience

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50fc19c484ae14d0604acf1c5a0f99e5Test
http://arxiv.org/abs/1811.12629Test

المؤلفون: Zhe Cui, Zijian Liu, Shaochen Wang, Hao Zou, Shifa Zhang, Ya Zhao, Wende Tian

المصدر: Processes, Vol 9, Iss 229, p 229 (2021)
Processes
Volume 9
Issue 2

مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, Bioengineering, fault identification, 02 engineering and technology, Troubleshooting, lcsh:Chemical technology, Fault (power engineering), computer.software_genre, lcsh:Chemistry, 020901 industrial engineering & automation, 020401 chemical engineering, mechanism analysis, Chemical Engineering (miscellaneous), lcsh:TP1-1185, Sensitivity (control systems), 0204 chemical engineering, Process simulation, Process Chemistry and Technology, SDG model, Directed graph, Work in process, Complex network, Dynamic simulation, lcsh:QD1-999, Data mining, distillation process, computer

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58c077e018290d2fab4bdef4fd5497dbTest
https://doi.org/10.3390/pr9020229Test