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1351 |
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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1352 |
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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1353 |
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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1354 |
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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1355 |
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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1356 |
Survey of machine learning techniques for Arabic fake news detection
Enthalten in Artificial intelligence review Bd. 57, 28.5.2024, Nr. 6, date:6.2024: 1-33
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1357 |
Survey on Machine Learning and Deep Learning Techniques for Agriculture Land
Enthalten in SN Computer Science Bd. 2, 18.10.2021, Nr. 6, date:11.2021: 1-12
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1358 |
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques
Enthalten in BMC medical research methodology Bd. 20, 16.11.2020, Nr. 1, date:12.2020: 1-14
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1359 |
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Enthalten in Scientific reports Bd. 14, 29.1.2024, Nr. 1, date:12.2024: 1-12
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1360 |
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Enthalten in Earth science informatics Bd. 18, 4.1.2025, Nr. 1, date:1.2025: 1-34
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