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"Machine Learning"
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29211 - 29220 von 29242
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29211
Winning determinants between top and second division in Chinese professional football leagues: an interpretable machine learning approach
Enthalten in BMC sports science, medicine & rehabilitation Bd. 17, 21.4.2025, Nr. 1, date:12.2025: 1-11
29212
Wireless Personal Communications: Machine Learning for Big Data Processing in Mobile Internet
Enthalten in Wireless personal communications Bd. 102, 30.8.2018, Nr. 3, date:10.2018: 2093-2098
29213
Wireless Spatial Analysis-Based Predictive Analysis and Environmental Data Optimisation Using Machine Learning Model
Enthalten in Remote sensing in earth systems sciences Bd. 7, 9.3.2024, Nr. 1, date:3.2024: 26-36
29214
WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis
Enthalten in Functional & integrative genomics Bd. 25, 19.6.2025, Nr. 1, date:12.2025: 1-23
29215
With or without human interference for precise age estimation based on machine learning?
Enthalten in International journal of legal medicine Bd. 136, 14.2.2022, Nr. 3, date:5.2022: 821-831
29216
With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots
Enthalten in Scientific reports Bd. 14, 3.3.2024, Nr. 1, date:12.2024: 1-10
29217
Women health issue: machine learning ensemble techniques to diagnosis breast cancer
Enthalten in Health and Technology Bd. 15, 13.12.2024, Nr. 1, date:1.2025: 81-92
29218
WOOD-LEAF UNSUPERVISED CLASSIFICATION OF SILVER BIRCH TREES FOR BIOMASS ASSESSMENT USING OBLIQUE POINT CLOUDS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1795-1802. 8 S.
29219
Word Embeddings and Machine Learning Classifiers Applications for Automatic Detection of Suicide Tendencies in Social Media
Enthalten in Programming and computer software Bd. 50, 12.1.2025, Nr. 8, date:12.2024: 612-620
29220
WorMachine: machine learning-based phenotypic analysis tool for worms
Enthalten in BMC biology Bd. 16, 16.1.2018, Nr. 1, date:12.2018: 1-11
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