-
1دورية أكاديمية
المؤلفون: William Laprade, Keirah E. Bartlett, Charlotte R. Christensen, Taline D. Kazandjian, Rohit N. Patel, Edouard Crittenden, Charlotte A. Dawson, Marjan Mansourvar, Darian S. Wolff, Thomas Fryer, Andreas H. Laustsen, Nicholas R. Casewell, José María Gutiérrez, Steven R. Hall, Timothy P. Jenkins
المصدر: Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2045-2322
-
2دورية أكاديمية
المؤلفون: Ali Ebrahimi, Uffe Kock Wiil, Amin Naemi, Marjan Mansourvar, Kjeld Andersen, Anette Søgaard Nielsen
المصدر: BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-25 (2022)
مصطلحات موضوعية: Alcohol use disorder, Clinical factor identification, Gender disparity, Machine learning, Feature selection, Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1472-6947
-
3دورية أكاديمية
المؤلفون: Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil
المصدر: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-13 (2021)
مصطلحات موضوعية: Length of stay, LOS, Classification, Regression, Machine learning, Vital signs, Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1472-6947
-
4دورية أكاديمية
المؤلفون: Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, Amin Naemi, Anette Sogaard Nielsen, Ghulam Mujtaba Shaikh, Marjan Mansourvar
المصدر: IEEE Access, Vol 9, Pp 151697-151712 (2021)
مصطلحات موضوعية: Systematic literature review, alcohol use disorder, prediction, machine learning, supervised learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
-
5دورية أكاديمية
المؤلفون: Mohammad Naghavi-Behzad, Thomas Schmidt, Amin Naemi, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil
المصدر: BMJ Open, Vol 11, Iss 11 (2021)
مصطلحات موضوعية: Medicine
وصف الملف: electronic resource
-
6دورية أكاديمية
المصدر: Frontiers in Psychology, Vol 12 (2021)
مصطلحات موضوعية: COVID-19, Probabilistic Structural Equation Modeling, Bayesian network, health risk perception, human values, experience economy, Psychology, BF1-990
وصف الملف: electronic resource
-
7دورية أكاديمية
المصدر: PLoS ONE, Vol 10, Iss 9, p e0138493 (2015)
وصف الملف: electronic resource
-
8دورية أكاديمية
المؤلفون: Iman Mazinani, Zubaidah Binti Ismail, Shahaboddin Shamshirband, Ahmad Mustafa Hashim, Marjan Mansourvar, Erfan Zalnezhad
المصدر: Entropy, Vol 18, Iss 5, p 167 (2016)
مصطلحات موضوعية: tsunami bore forces, wave height, estimation, extreme learning machine (ELM), six-axis load cell, Science, Astrophysics, QB460-466, Physics, QC1-999
وصف الملف: electronic resource
-
9
المؤلفون: Marjan Mansourvar, Uffe Kock Wiil, Anette Søgaard Nielsen, Ghulam Mujtaba Shaikh, Ali Ebrahimi, Thomas Schmidt, Amin Naemi
المصدر: IEEE Access, Vol 9, Pp 151697-151712 (2021)
Ebrahimi, A, Wiil, U K, Schmidt, T, Naemi, A, Nielsen, A S, Shaikh, G M & Mansourvar, M 2021, ' Predicting the Risk of Alcohol Use Disorder Using Machine Learning : A Systematic Literature Review ', IEEE Access, vol. 9, pp. 151697-151712 . https://doi.org/10.1109/ACCESS.2021.3126777مصطلحات موضوعية: Feature engineering, Data collection, General Computer Science, Computer science, business.industry, Systematic literature review, General Engineering, Feature selection, prediction, alcohol use disorder, Machine learning, computer.software_genre, Data type, supervised learning, Field (computer science), TK1-9971, Systematic review, machine learning, Feature (machine learning), General Materials Science, Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, business, computer, Decision analysis
وصف الملف: application/pdf
-
10
المؤلفون: Amin Naemi, Mostafa Naemi, Romina Zarrabi Ekbatani, Thomas Schmidt, Ali Ebrahimi, Marjan Mansourvar, Uffe Kock Wiil
المصدر: Advances in Sustainability Science and Technology ISBN: 9789811691003
Naemi, A, Naemi, M, Ekbatani, R Z, Schmidt, T, Ebrahimi, A, Mansourvar, M & Wiil, U K 2022, Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models . in Smart and Sustainable Technology for Resilient Cities and Communities . Springer, Advances in Sustainability Science and Technology, pp. 119-135 . https://doi.org/10.1007/978-981-16-9101-0_9URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3142b115e2826056625ddd5406dafb8c
https://doi.org/10.1007/978-981-16-9101-0_9