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1371 |
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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1372 |
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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1373 |
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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1374 |
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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1375 |
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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1376 |
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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1377 |
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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1378 |
Towards Waste Reduction in E-Commerce: A Comparative Analysis of Machine Learning Algorithms and Optimisation Techniques for Garment Returns Prediction with Feature Importance Evaluation
Enthalten in SN Computer Science Bd. 6, 2.5.2025, Nr. 5, date:6.2025: 1-13
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1379 |
Type2 Diabetes Classification from Short Photoplethysmogram Signal Using Multiple Domain Features and Machine Learning Techniques
Enthalten in Research on biomedical engineering Bd. 39, 22.6.2023, Nr. 3, date:9.2023: 541-560
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1380 |
Ultrasound-Based Ovarian Cysts Detection with Improved Machine-Learning Techniques and Stage Classification Using Enhanced Classifiers
Enthalten in SN Computer Science Bd. 4, 29.7.2023, Nr. 5, date:9.2023: 1-11
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