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21871 |
Using an Artificial Neural Network in a DC Motor Electromechanical Speed-Control System
Enthalten in Russian electrical engineering Bd. 95, 2.3.2025, Nr. 11, date:11.2024: 903-908
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21872 |
Using an Artificial Neural Network Model to Predict Groundwater Quality in the Southern Region of Jabalpur City
Enthalten in Water, air & soil pollution Bd. 234, 2.11.2023, Nr. 11, date:11.2023: 1-14
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21873 |
Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner
Enthalten in BMC medical informatics and decision making Bd. 19, 23.12.2019, Nr. 7, date:12.2019: 1-13
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21874 |
Using analytic network process to analyze problems for implementing turn-key construction projects in Taiwan
Enthalten in Zhongnan-Gongye-Daxue: Journal of Central South University of Technology Bd. 18, 26.4.2011, Nr. 2, date:4.2011: 558-567
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21875 |
Using Artificial Neural Network in Nuclear Spin Echo Experiments
Enthalten in Technical physics letters Bd. 45, 17.7.2019, Nr. 6, date:6.2019: 598-600
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21876 |
Using combinatorics to compute fluid routing alternatives in a hydrocarbon production network
Enthalten in Journal of petroleum exploration and production technology Bd. 7, 4.11.2016, Nr. 4, date:12.2017: 1185-1195
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21877 |
Using cross-docking operations in a reverse logistics network design: a new approach
Enthalten in Production engineering Bd. 10, 28.11.2015, Nr. 2, date:4.2016: 175-184
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21878 |
Using Data from a Ground-Based Network of Detectors and the PAMELA and AMS-02 Experiments to Compare Long-Term Variations in the Cosmic Ray Flux
Enthalten in Bulletin of the Russian Academy of Sciences / Physics Bd. 85, 10.10.2021, Nr. 9, date:9.2021: 1039-1041
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21879 |
Using decomposition methods to solve pricing problems in network revenue management
Enthalten in Journal of revenue and pricing management Bd. 10, 29.1.2010, Nr. 4, date:7.2011: 325-343
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21880 |
Using deep learning methods for discovering associations between drugs and side effects based on topic modeling in social network
Enthalten in Social network analysis and mining Bd. 10, 24.5.2020, Nr. 1, date:12.2020: 1-17
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