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"Machine Learning"
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25301 - 25310 von 29233
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25301
Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition
Enthalten in Scientific reports Bd. 9, 5.3.2019, Nr. 1, date:12.2019: 1-10
25302
Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning
Enthalten in Advances in aerodynamics Bd. 3, 23.9.2021, Nr. 1, date:12.2021: 1-14
25303
Particle swarm optimization technique for speed control and torque ripple minimization of switched reluctance motor using PID and FOPID controllers
Enthalten in International journal of information technology Bd. 16, 12.1.2024, Nr. 2, date:2.2024: 1185-1201
25304
Particle swarm optimized deep spatio-temporal features for efficient video retrieval
Enthalten in International journal of information technology Bd. 16, 14.2.2024, Nr. 3, date:3.2024: 1763-1768
25305
Particulate matter estimation using satellite datasets: a machine learning approach
Enthalten in Environmental science and pollution research Bd. 31, 3.12.2024, Nr. 58, date:12.2024: 66372-66387
25306
Partitioned least squares
Enthalten in Machine learning Bd. 113, 15.7.2024, Nr. 9, date:9.2024: 6839-6869
25307
Partitioning signal classes using transport transforms for data analysis and machine learning
Enthalten in Sampling theory, signal processing, and data analysis Bd. 19, 11.5.2021, Nr. 1, date:6.2021: 1-25
25308
Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention response
Enthalten in Diagnostic pathology Bd. 18, 11.11.2023, Nr. 1, date:12.2023: 1-12
25309
Pathomic model based on histopathological features and machine learning to predict IDO1 status and its association with breast cancer prognosis
Enthalten in Breast cancer research and treatment Bd. 207, 23.5.2024, Nr. 1, date:8.2024: 151-165
25310
Pathomics-based machine learning models for predicting pathological complete response and prognosis in locally advanced rectal cancer patients post-neoadjuvant chemoradiotherapy: insights from two independent institutional studies
Enthalten in BMC cancer Bd. 24, 26.12.2024, Nr. 1, date:12.2024: 1-13
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