„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Enhancing Intra‐Hour Solar Irradiance Forecasting for Solar Applications: A Blended Model of Satellite, Sky Imager, and Persistence
  Nouri, Bijan ; Lezaca, Jorge ; Fabel, Yann ; Hammer, Annette ; Blum, Niklas ; Wilbert, Stefan
• Analysis of Strength Prediction Models using Machine Learning for Mongolian Fly Ash Concrete
  Daalkhai, Bulgan ; Tudevdagva, Uranchimeg
• Spatial Interpolation Using Machine Learning: From Patterns and Regularities to Block Models
  Nwaila, Tsundukani Glen ; Zhang, Steven E. ; Bourdeau, Julie E. ; Frimmel, Hartwig E. ; Ghorbani, Yousef
• Machine Learning and Big Data-enabled Biotechnology
  Alper, Hal S. 2026 Wiley-VCH
• Integration of Machine Learning Algorithms with Gompertz Curves and Kriging to Estimate Resources in Gold Deposits
  Zhang, Steven E. ; Nwaila, Tsundukani Glen ; Tolmay, Leon ; Frimmel, Hartwig E. ; Bourdeau, Julie E.
• Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
  Rudin, Cynthia
• Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models
  Heckmann, David ; Lloyd, Colton J. ; Mih, Nathan ; Ha, Yuanchi ; Zielinski, Daniel C. ; Haiman, Zachary B. ; Desouki, Abdelmoneim Amer ; Lercher, Martin ; Palsson, Bernhard O.
• Swarm Learning for decentralized and confidential clinical machine learning
  Warnat-Herresthal, Stefanie ; Schultze, Hartmut ; Shastry, Krishnaprasad Lingadahalli ; Manamohan, Sathyanarayanan ; Mukherjee, Saikat ; Garg, Vishesh ; Sarveswara, Ravi ; Händler, Kristian ; Pickkers, Peter ; Aziz, N. Ahmad ; Ktena, Sofia ; Tran, Florian ; Bitzer, Michael ; Ossowski, Stephan ; Casadei, Nicolas ; Herr, Christian ; Petersheim, Daniel ; Behrends, Uta ; Kern, Fabian ; Fehlmann, Tobias ; Schommers, Philipp ; Lehmann, Clara ; Augustin, Max ; Rybniker, Jan ; Altmüller, Janine ; Mishra, Neha ; B 2021 Saarländische Universitäts- und Landesbibliothek
• Review of Models of Modals: from Pragmatics and Corpus Linguistics to Machine Learning Ilse Depraetere, Bert Cappelle, Martin Hilpert, Ludovic De Cuypere, Mathieu Dehouck, Pascal Denis, Susanne Flach, Natalia Grabar, Cyril Grandin, Thierry Hamon, Clemens Hufeld, Benoît Leclercq and Hans-Jörg Schmid, De Gruyter Mouton, Berlin, 2023 (Hardback), ISBN: 978-3-11-073861-2
  Zhou, Ziheng ; Wang, Deliang
• Constitutive scientific generative agent (CSGA): Leveraging large language models for automated constitutive model discovery
  Tacke, Marius ; Busch, Matthias ; Bali, Kartik ; Abdolazizi, Kian ; Linka, Kevin ; Cyron, Christian J. ; Aydin, Roland C.
• Wissenschaftliches Schreiben mit KI
  Buck, Isabella 2025 utb GmbH
• Data Analytics – Models and Algorithms for Intelligent Data Analysis
  Runkler, Thomas A. 2016 Springer Fachmedien Wiesbaden
• Data Analytics – Models and Algorithms for Intelligent Data Analysis
  Runkler, Thomas A. 2012 Vieweg+Teubner Verlag
• Sensors Data Fusion for Smart Decisions Making Using Interpretative Machine Learning Models
  Zoghlami, Feryel ; Kaden, Marika ; Villmann, Thomas ; Schneider, Germar ; Heinrich, Harald 2021 Hochschule Mittweida
• Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation
  Budaraju, Dhananjay ; Neelapu, Bala Chakravarthy ; Pal, Kunal ; Jayaraman, Sivaraman
• African Conference on Research in Computer Science and Applied Mathematics – Proceedings of the Mathematics Section of CARI 2024
  Barkaoui, Kamel ; Gmati, Nabil ; Roche, Mathieu 2025 Springer Nature Switzerland, Imprint: Birkhäuser
• Cutting-edge approaches to plant disease detection: a survey of machine learning models and optimization methods
  Palei, Shantilata ; Mohapatra, Puspanjali
• Machine learning models for predicting financial distress focusing on bankruptcy and non-bankruptcy scenarios
  Su, Yingjian ; Bai, Yuehua
• Leveraging Satellite Data for Predicting PM10 Concentration with Machine Learning Models: A Study in the Plains of North Bengal, India
  Das, Ayan ; Sahu, Manoranjan
• Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea
  Choi, Yelim ; Kang, Bogyeong ; Kim, Daekeun