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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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Online Ressourcen 1 Evaluating Recycling Initiatives for Landfill Diversion in Developing Economies Using Integrated Machine Learning Techniques
Adedara, Muyiwa Lawrence. - Kiel : Universitätsbibliothek Kiel, 2025
Online Ressource
Online Ressourcen 2 Forecasting of residential unit's heat demands: a comparison of machine learning techniques in a real-world case study
Kemper, Neele. - Augsburg : Universität Augsburg, 2025
Online Ressource
Artikel 3 A comprehensive review of deep learning and machine learning techniques for early-stage skin cancer detection: Challenges and research gaps
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 35 S.
Online Ressource
Artikel 4 Enhancing Long-Term Reservoir Inflow Forecasting: An Integrated Approach Combining Switch Prediction Method, Ensemble Rainfall Forecasts, and Machine Learning Techniques
Enthalten in EGUsphere 04.07.2025: 1-33. 33 S.
Online Ressource
Artikel 5 Unstained Blood Smear Analysis: A Review of Rule‐Based, Machine Learning, and Deep Learning Techniques
Enthalten in Journal of biophotonics 30.06.2025. 22 S.
Online Ressource
Artikel 6 A comprehensive analysis of landslide susceptibility in Iyidere Basin (NE, Turkey) using machine learning techniques and statistical bivariate methods
Enthalten in Natural hazards 27.5.2025: 1-37
Online Ressource
Artikel 7 Comprehensive Review on the Use of Machine Learning Techniques Applied to the Ultrasound Data for the Characterisation of Porosity across Carbon Fibre Reinforced Polymer Layers
Enthalten in Applied composite materials 21.5.2025: 1-25
Online Ressource
Artikel 8 Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms
Enthalten in Knowledge and information systems 30.4.2025: 1-87
Online Ressource
Artikel 9 Innovative Machine Learning, Isotopic, and Hydrogeochemical Techniques for Groundwater Analysis in Arid Landscapes in Egypt’s Eastern Desert
Enthalten in Earth systems and environment 21.4.2025: 1-25
Online Ressource
Artikel 10 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


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