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"Machine Learning"
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391
Topology in Biological Piezoelectric Materials
Enthalten in Advanced materials 04.06.2025. 33 S.
392
A Review of Data-Driven Machine Learning Applications in Reservoir Petrophysics
Enthalten in The Arabian journal for science and engineering 4.6.2025: 1-35
393
Advanced sound-based pest detection in agriculture using deep learning and adaptive optimization
Enthalten in International journal of information technology 4.6.2025: 1-11
394
Advancements and future trends in machine learning for lung cancer: a comprehensive bibliometric analysis
Enthalten in Clinical and translational oncology 4.6.2025: 1-12
395
An approach based on machine learning and mel-frequency cepstral coefficients for locating faults in transmission lines
Enthalten in Energy systems 4.6.2025: 1-28
396
Anoikis-Related Genes Can Accurately Predict the Occurrence of Endometriosis: A Retrospective Cohort Study via Machine Learning Analysis
Enthalten in Biochemical genetics 4.6.2025: 1-20
397
Answer to the Letter to the Editor of H. Daungsupawong, et al. concerning “A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury” by Shimizu T, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08873-2)
Enthalten in European spine journal 4.6.2025: 1
398
Answer to the Letter to the Editor of W. Yue, et al. concerning “A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury” by Shimizu T, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08873-2)
Enthalten in European spine journal 4.6.2025: 1-2
399
CLRD-GLPS: A Long-term Seasonal Dataset of Ruminant Livestock Distribution in China's Grazing Production Systems (2000–2021) Using Stacking-based Interpretable Machine Learning
Enthalten in Earth system science data discussions 04.06.2025: 1-45. 45 S.
400
Investigating the association between groundwater contaminants and hypertension risk in India: a machine learning-based analysis
Enthalten in Journal of exposure science & environmental epidemiology 4.6.2025: 1-18
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