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1371 |
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
Enthalten in Stochastic environmental research and risk assessment Bd. 38, 13.6.2024, Nr. 8, date:8.2024: 3273-3290
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1372 |
The study of water cut in the AB reservoir unit of Zubair formation at South Rumaila oilfield, Southern Iraq using petrophysics, geostatistics, and machine learning techniques
Enthalten in Arabian journal of geosciences Bd. 18, 13.1.2025, Nr. 1, date:1.2025: 1-21
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1373 |
The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 27.1.2023, Nr. 1, date:12.2023: 1-18
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1374 |
Thermal error prediction model for long-term operating of machine tool using transfer learning techniques
Enthalten in The international journal of advanced manufacturing technology Bd. 135, 23.11.2024, Nr. 11-12, date:12.2024: 5473-5488
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1375 |
Thermal maturity and TOC prediction using machine learning techniques: case study from the Cretaceous–Paleocene source rock, Taranaki Basin, New Zealand
Enthalten in Journal of petroleum exploration and production technology Bd. 10, 14.5.2020, Nr. 6, date:8.2020: 2175-2193
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1376 |
Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques
Enthalten in Scientific reports Bd. 14, 24.6.2024, Nr. 1, date:12.2024: 1-17
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1377 |
Torque regression using machine learning techniques in automotive ECUs
Enthalten in Design automation for embedded systems Bd. 28, 25.11.2024, Nr. 3-4, date:12.2024: 219-243
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1378 |
Towards Effective Software Defect Prediction Using Machine Learning Techniques
Enthalten in SN Computer Science Bd. 5, 27.11.2024, Nr. 8, date:12.2024: 1-13
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1379 |
Towards Model Generalization for Intrusion Detection: Unsupervised Machine Learning Techniques
Enthalten in Journal of network and systems management Bd. 30, 17.10.2021, Nr. 1, date:1.2022: 1-25
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1380 |
TOWARDS MORE RESILIENT SMART CITIES: MT-InSAR MONITORING OF URBAN INFRASTRUCTURE USING MACHINE LEARNING TECHNIQUES
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W3-2022, 2022: 221-228. 8 S.
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