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tit all "Algorithms"
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6071 - 6080 von 6820
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6071
Mopidip: a modular real-time pipeline for machinery diagnosis and prognosis based on deep learning algorithms
Enthalten in Journal of Big Data Bd. 12, 4.4.2025, Nr. 1, date:12.2025: 1-33
6072
More than meets the eye: use of computer vision algorithms to identify stone tool material through the analysis of cut mark micro-morphology
Enthalten in Archaeological and anthropological sciences Bd. 13, 20.9.2021, Nr. 10, date:10.2021: 1-11
6073
Multi-ahead electrical conductivity forecasting of surface water based on machine learning algorithms
Enthalten in Applied water science Bd. 13, 8.9.2023, Nr. 10, date:10.2023: 1-20
6074
Multi-algorithms analysis for pre-treatment prediction of response to transarterial chemoembolization in hepatocellular carcinoma on multiphase MRI
Enthalten in Insights into imaging Bd. 14, 28.2.2023, Nr. 1, date:12.2023: 1-12
6075
Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms
Enthalten in Scientific reports Bd. 13, 2.11.2023, Nr. 1, date:12.2023: 1-15
6076
Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms
Enthalten in Humanities and Social Sciences Communications Bd. 11, 10.5.2024, Nr. 1, date:12.2024: 1-13
6077
Multi-dimensional classification: paradigm, algorithms and beyond
Enthalten in Vicinagearth Bd. 1, 25.6.2024, Nr. 1, date:12.2024: 1-27
6078
Multi-objective evolutionary algorithms for analysis of conductance correlations involved in recovery of bursting after neuromodulator deprivation in lobster stomatogastric neuron models
Enthalten in BMC neuroscience Bd. 14, 8.7.2013, Nr. 1, date:7.2013: 1-2
6079
Multi-objective evolutionary algorithms for model neuron parameter value selection matching biological behavior under different simulation scenarios
Enthalten in BMC neuroscience Bd. 10, 13.7.2009, Nr. 1, date:9.2009: 1-2
6080
Multi-objective optimization and sustainable design: a performance comparison of metaheuristic algorithms used for on-grid and off-grid hybrid energy systems
Enthalten in Neural computing & applications Bd. 36, 8.3.2024, Nr. 13, date:5.2024: 7559-7594
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