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26751
Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case–control study
Enthalten in BMC medicine Bd. 23, 23.4.2025, Nr. 1, date:12.2025: 1-15
26752
Machine learning technique based highly efficient slotted 4-port MIMO antenna using decoupling structure for sub-THz and THz 6G band applications
Enthalten in Optical and quantum electronics Bd. 56, 20.9.2024, Nr. 10, date:10.2024: 1-25
26753
Machine learning technique for breast cancer detection and classification
Enthalten in Machine learning for computational science and engineering Bd. 1, 4.4.2025, Nr. 1, date:6.2025: 1-19
26754
Machine learning technique for carbon sequestration estimation of mango orchards area using Sentinel-2 Data
Enthalten in Carbon research Bd. 4, 27.3.2025, Nr. 1, date:12.2025: 1-13
26755
Machine learning technique for generation of human readable rules to detect software code smells in open-source software
Enthalten in Life cycle reliability and safety engineering Bd. 13, 20.7.2024, Nr. 3, date:9.2024: 277-291
26756
Machine Learning Technique for the Prediction of Blended Concrete Compressive Strength
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 28, 9.1.2024, Nr. 2, date:2.2024: 817-835
26757
Machine learning techniques and multivariable mathematical models for predicting modified soil compaction parameters based on particle size and consistency limits
Enthalten in Modeling earth systems and environment Bd. 11, 8.1.2025, Nr. 1, date:2.2025: 1-46
26758
Machine Learning Techniques and Population-Based Metaheuristics for Damage Detection and Localization Through Frequency and Modal-Based Structural Health Monitoring: A Review
Enthalten in Archives of computational methods in engineering Bd. 29, 16.8.2022, Nr. 6, date:10.2022: 3541-3565
26759
Machine Learning Techniques for Anomaly Detection in High-Frequency Time Series of Wind Speed and Greenhouse Gas Concentration Measurements
Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S138-S148
26760
Machine learning techniques for arrhythmic risk stratification: a review of the literature
Enthalten in International journal of arrhythmia Bd. 23, 1.4.2022, Nr. 1, date:12.2022: 1-13
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