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1051 |
Impact of Climate Change and Air Pollution Forecasting Using Machine Learning Techniques in Bishkek
Enthalten in Aerosol and Air Quality Research Bd. 22, 21.1.2022, Nr. 3, date:3.2022: 1-13
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1052 |
Impact of meteorological parameters on soil radon at Kolkata, India: investigation using machine learning techniques
Enthalten in Environmental science and pollution research Bd. 30, 15.9.2023, Nr. 48, date:10.2023: 105374-105386
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1053 |
Implementation of machine learning techniques for the analysis of wave energy conversion systems: a comprehensive review
Enthalten in Journal of ocean engineering and marine energy Bd. 10, 30.5.2024, Nr. 3, date:8.2024: 641-670
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1054 |
Importance and challenges of handwriting recognition with the implementation of machine learning techniques: a survey
Enthalten in Applied intelligence Bd. 54, 15.5.2024, Nr. 8, date:4.2024: 6444-6465
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1055 |
Improved calorimetric particle identification in NA62 using machine learning techniques
Enthalten in Journal of high energy physics Bd. 2023, 21.11.2023, Nr. 11, date:11.2023: 1-15
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1056 |
Improved model development and feature ranking for rock permeability prediction by coupling petrophysical log data and ensemble machine learning techniques
Enthalten in Earth science informatics Bd. 18, 21.12.2024, Nr. 1, date:1.2025: 1-16
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1057 |
Improved soil carbon stock spatial prediction in a Mediterranean soil erosion site through robust machine learning techniques
Enthalten in Environmental monitoring and assessment Bd. 196, 10.1.2024, Nr. 2, date:2.2024: 1-23
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1058 |
Improving accuracy of code smells detection using machine learning with data balancing techniques
Enthalten in The journal of supercomputing Bd. 80, 5.6.2024, Nr. 14, date:9.2024: 21048-21093
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1059 |
Improving computer numerical control (CNC) turning performance of AISI D2 steel with nanofluid composites and advanced machine learning techniques
Enthalten in The international journal of advanced manufacturing technology Bd. 138, 21.4.2025, Nr. 2, date:5.2025: 511-539
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1060 |
Incorporating Active Learning into Machine Learning Techniques for Sensory Evaluation of Food
Enthalten in International journal of computational intelligence systems Bd. 13, 12.6.2020, Nr. 1, date:1.2020: 655-662
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