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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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551 - 560 von 602
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Artikel 551 Rheological Behavior of SAE50 Oil–SnO2–CeO2 Hybrid Nanofluid: Experimental Investigation and Modeling Utilizing Response Surface Method and Machine Learning Techniques
Enthalten in Nanoscale research letters Bd. 17, 8.12.2022, Nr. 1, date:12.2022: 1-22
Online Ressource
Artikel 552 Rice plant disease diagnosing using machine learning techniques: a comprehensive review
Enthalten in SN applied sciences Bd. 4, 20.10.2022, Nr. 11, date:11.2022: 1-13
Online Ressource
Artikel 553 Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection
Enthalten in Scientific reports Bd. 15, 1.2.2025, Nr. 1, date:12.2025: 1-20
Online Ressource
Artikel 554 Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Enthalten in Artificial intelligence review Bd. 57, 13.2.2024, Nr. 3, date:3.2024: 1-66
Online Ressource
Artikel 555 Roundness prediction in centreless grinding using physics-enhanced machine learning techniques
Enthalten in The international journal of advanced manufacturing technology Bd. 112, 8.12.2020, Nr. 3-4, date:1.2021: 1051-1063
Online Ressource
Artikel 556 Sarcopenia prediction using shear-wave elastography, grayscale ultrasonography, and clinical information with machine learning fusion techniques: feature-level fusion vs. score-level fusion
Enthalten in Scientific reports Bd. 14, 2.2.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 557 Secure routing in the Internet of Things (IoT) with intrusion detection capability based on software-defined networking (SDN) and Machine Learning techniques
Enthalten in Scientific reports Bd. 13, 21.10.2023, Nr. 1, date:12.2023: 1-18
Online Ressource
Artikel 558 Segmentation and Metallographic Evaluation of Aluminium Slurry Coatings Using Machine Learning Techniques
Enthalten in High temperature corrosion of materials Bd. 101, 26.10.2024, Nr. 6, date:12.2024: 1497-1512
Online Ressource
Artikel 559 Seismic characterization of carbonate stringers using machine learning techniques: an example from the western flank of South Oman Salt Basin
Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-18
Online Ressource
Artikel 560 Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks
Enthalten in Scientific reports Bd. 12, 5.12.2022, Nr. 1, date:12.2022: 1-13
Online Ressource


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