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1351 |
Streamflow Data Infilling Using Machine Learning Techniques with Gamma Test
Enthalten in Water resources management Bd. 38, 29.12.2023, Nr. 2, date:1.2024: 701-716
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1352 |
Streamlining the monitoring and assessment of irrigation groundwater quality using machine learning techniques
Enthalten in Environmental earth sciences Bd. 84, 3.3.2025, Nr. 5, date:3.2025: 1-19
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1353 |
Strength prediction of fly ash-based sustainable concrete using machine learning techniques: an application of advanced decision-making approaches
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 9.12.2024, Nr. 1, date:1.2025: 1-19
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1354 |
Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques
Enthalten in Journal of medical systems Bd. 44, 17.2.2020, Nr. 4, date:4.2020: 1-12
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1355 |
Structural analysis and detection of android botnets using machine learning techniques
Enthalten in International journal of information security Bd. 17, 1.2.2017, Nr. 2, date:4.2018: 153-167
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1356 |
Study of machine learning techniques for outcome assessment of leptospirosis patients
Enthalten in Scientific reports Bd. 14, 17.6.2024, Nr. 1, date:12.2024: 1-11
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1357 |
Study on the use of different machine learning techniques for prediction of concrete properties from their mixture proportions with their deterministic and robust optimisation
Enthalten in AI in civil engineering Bd. 3, 9.4.2024, Nr. 1, date:12.2024: 1-24
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1358 |
Study regarding the influence of a student’s personality and an LMS usage profile on learning performance using machine learning techniques
Enthalten in Applied intelligence Bd. 54, 8.5.2024, Nr. 8, date:4.2024: 6175-6197
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1359 |
Supervised and unsupervised machine learning techniques for predicting mechanical properties of coconut fiber reinforced concrete
Enthalten in Asian journal of civil engineering Bd. 25, 2.4.2024, Nr. 5, date:7.2024: 3879-3899
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1360 |
Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions
Enthalten in International journal of computer assisted radiology and surgery Bd. 11, 8.10.2015, Nr. 4, date:4.2016: 553-568
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