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"Machine Learning"
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25311 - 25320 von 29254
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25311
Part of speech tagging: a systematic review of deep learning and machine learning approaches
Enthalten in Journal of Big Data Bd. 9, 24.1.2022, Nr. 1, date:12.2022: 1-25
25312
Partial discharge localization in power transformer tanks using machine learning methods
Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
25313
Partial Petri Net Languages and their Properties
Enthalten in International journal of information technology Bd. 16, 5.6.2024, Nr. 6, date:8.2024: 3663-3676
25314
Partial product based improved reconfigurable FIR filter with control logic for automated guided vehicles on virtex-7 FPGA
Enthalten in International journal of information technology Bd. 15, 30.4.2023, Nr. 4, date:4.2023: 2077-2088
25315
Partial transport for point-cloud registration
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 18.2.2025, Nr. 1, date:6.2025: 1-51
25316
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
25317
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
25318
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
25319
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
25320
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
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