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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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21 - 30 von 1408
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Artikel 21 Development of a machine-learning-based performance prediction model for indirect regenerative evaporative cooling applications supported by experimental and numerical techniques
Enthalten in Journal of thermal analysis and calorimetry 13.3.2025: 1-24
Online Ressource
Artikel 22 Understanding unnecessary stops and police use of force in NYPD Stop, Question, and Frisk with machine learning techniques
Enthalten in Artificial intelligence and law 9.3.2025: 1-37
Online Ressource
Artikel 23 Object detection on space-based optical images leveraging machine learning techniques
Enthalten in Neural computing & applications 6.3.2025: 1-25
Online Ressource
Artikel 24 A Comprehensive Study on Additive Manufacturing Techniques, Machine Learning Integration, and Internet of Things-Driven Sustainability Opportunities
Enthalten in Journal of materials engineering and performance 5.3.2025: 1-68
Online Ressource
Artikel 25 Comments on “Land subsidence prediction in coal mining using machine learning models and optimization techniques”
Enthalten in Environmental science and pollution research 23.2.2025: 1
Online Ressource
Artikel 26 Harnessing Advanced Machine Learning Techniques for Microscopic Vessel Segmentation in Pulmonary Fibrosis Using Novel Hierarchical Phase-Contrast Tomography (HiP-CT) Images
Enthalten in Methods of information in medicine 18.02.2025
Online Ressource
Artikel 27 Refinement of surface sterilization protocol for in vitro olive (Olea europaea L.) shoot proliferation and optimizing by machine learning techniques
Enthalten in Horticulture, environment, and biotechnology 18.2.2025: 1-16
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Artikel 28 Unlocking drought in pistachio orchards: monitoring and forecasting using landsat time series and machine learning techniques
Enthalten in Horticulture, environment, and biotechnology 17.2.2025: 1-20
Online Ressource
Artikel 29 Optimizing bed shear stress prediction in open flow channels: an investigation of heuristic machine learning techniques
Enthalten in Natural hazards 15.2.2025: 1-37
Online Ressource
Artikel 30 Application of Non-destructive Methods for Predicting the Concrete’s Compressive Strength, Using Hyper-Tuned Machine Learning Techniques
Enthalten in Iranian journal of science and technology / Transactions of civil engineering 13.2.2025: 1-17
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21 - 30 von 1408
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