Loại tài liệu:    Chỉ tìm trong: 
Tìm được 14 kết quả
Learning curves for drug response prediction in cancer cell lines [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
Bộ sưu tập: Metadata
ddc:  577.3
 
Scaling Deep Learning on GPU and Knights Landing clusters [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  570
 
Improving radiograph analysis throughput through transfer learning and object detection [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  620.0015
 
A Deep Learning Approach for Transportation Network Companies Trip-Demand Prediction Considering Spatial-Temporal Features [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
Bộ sưu tập: Metadata
ddc:  629.22
 
Deep learning for Alzheimer's disease [electronic resource] : Mapping large-scale histological tau protein for neuroimaging biomarker validation
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
Bộ sưu tập: Metadata
ddc:  616.831
 
Unified rational protein engineering with sequence-based deep representation learning [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
Bộ sưu tập: Metadata
ddc:  572.6
 
Deep Learning for Automated Extraction of Primary Sites from Cancer Pathology Reports [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  576.8
 
Deep learning-based model for progress variable dissipation rate in turbulent premixed flames [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  629.2
 
Exploring the Value of Learned Representations for Automated Syndromic Definitions [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
Bộ sưu tập: Metadata
ddc:  612.01
 
Crossing the Cleft [electronic resource] : Communication Challenges Between Neuroscience and Artificial Intelligence
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  006.3
 
1 2 Tiếp

Truy cập nhanh danh mục