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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
17931 - 17940 von 19092
Datum (neuestes zuerst)
Datum (ältestes zuerst)
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Name (Z-A)
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17931
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures
Enthalten in BMC medical informatics and decision making Bd. 24, 23.7.2024, Nr. 4, date:12.2024: 1-17
17932
Second opinion needed: communicating uncertainty in medical machine learning
Enthalten in npj digital medicine Bd. 4, 5.1.2021, Nr. 1, date:12.2021: 1-6
17933
Second order Kalman filtering channel estimation and machine learning methods for spectrum sensing in cognitive radio networks
Enthalten in Wireless networks Bd. 27, 10.5.2021, Nr. 5, date:7.2021: 3273-3286
17934
Secure machine learning against adversarial samples at test time
Enthalten in EURASIP journal on information security Bd. 2022, 12.1.2022, Nr. 1, date:12.2022: 1-15
17935
Secure routing in the Internet of Things (IoT) with intrusion detection capability based on software-defined networking (SDN) and Machine Learning techniques
Enthalten in Scientific reports Bd. 13, 21.10.2023, Nr. 1, date:12.2023: 1-18
17936
Securing 6G-enabled IoT/IoV networks by machine learning and data fusion
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2022, 22.11.2022, Nr. 1, date:12.2022: 1-17
17937
Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models
Enthalten in Scientific reports Bd. 14, 26.6.2024, Nr. 1, date:12.2024: 1-16
17938
Sediment load prediction in Johor river: deep learning versus machine learning models
Enthalten in Applied water science Bd. 13, 13.2.2023, Nr. 3, date:3.2023: 1-13
17939
SEEING AMONG FOLIAGE WITH LIDAR AND MACHINE LEARNING: TOWARDS A TRANSFERABLE ARCHAEOLOGICAL PIPELINE
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-2/W1-2022, 2022: 365-372. 8 S.
17940
Seeing is Learning in High Dimensions: The Synergy Between Dimensionality Reduction and Machine Learning
Enthalten in SN Computer Science Bd. 5, 21.2.2024, Nr. 3, date:3.2024: 1-25
17931 - 17940 von 19092
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