Loại tài liệu:    Chỉ tìm trong: 
861-870 trong số 1977 kết quả
Machine Learning Reduced Order Model for Cost and Emission Assessment of a Pyrolysis System [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2021
Bộ sưu tập: Báo, Tạp chí
ddc:  621.47
 
Machine learning to predict biomass sorghum yields under future climate scenarios [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2020
Bộ sưu tập: Báo, Tạp chí
ddc: 
 
Machine Learning Reveals the Critical Interactions for SARS-CoV-2 Spike Protein Binding to ACE2 [electronic resource]
Tác giả:
Xuất bản: Oak Ridge, Tenn. : Oak Ridge, Tenn: Oak Ridge National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2021
Bộ sưu tập: Báo, Tạp chí
ddc:  610.28
 
DDxNet [electronic resource] : a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2020
Bộ sưu tập: Báo, Tạp chí
ddc:  616.12
 
Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error [electronic resource]
Tác giả:
Xuất bản: Richland, Wash. : Oak Ridge, Tenn: Pacific Northwest National Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2021
Bộ sưu tập: Báo, Tạp chí
ddc:  333.9
 
How accurate is a machine learning-based wind speed extrapolation under a round-robin approach? [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2020
Bộ sưu tập: Báo, Tạp chí
ddc:  621.531
 
The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2020
Bộ sưu tập: Báo, Tạp chí
ddc:  621.531
 
Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning [electronic resource] : A Methodological Approach
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2020
Bộ sưu tập: Báo, Tạp chí
ddc:  623.2
 
Rule based systems for big data : a machine learning approach
Tác giả: Han Liu, Mihaela Cocea, Alexander Gegov
Xuất bản: Cham: Springer , 2015
Bộ sưu tập: Công nghệ thông tin
eBook (pdf)
ddc:  004.21
 
EEG microstate analysis and machine learning classification in patients with obsessive-compulsive disorder
Tác giả: Mohan Ma, Bingxun Lu, Yumei Gong, Chuman Xiao, Yumeng Yang, Yumeng Ju, Zhenman Xi, Yang Gao, Xiaolin Ning, Yan Zhang
Xuất bản: England: Journal of psychiatric research , 2025
Bộ sưu tập: NCBI
ddc:  664.929
 

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