„Machine Learning Models“

Suchergebnisse

1.000+ Treffer

• A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA
  Ülke, Volkan ; Sahin, Afsin ; Subasi, Abdulhamit
• Comparison of machine learning models for predicting fluoride contamination in groundwater
  Barzegar, Rahim ; Asghari Moghaddam, Asghar ; Adamowski, Jan ; Fijani, Elham
• Efficient global multi parameter calibration for complex system models using machine-learning surrogates
  Aka, Julius ; Brunnemann, Johannes ; Freund, Svenne ; Speerforck, Arne ; Müller, Dirk ; Monti, Antonello ; Benigni, Andrea 2023 Universität Augsburg
• Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
  Deo, Ravinesh C. ; Samui, Pijush ; Kim, Dookie
• Systematic selection of best performing mathematical models for in vitro gas production using machine learning across diverse feeds
  Ahmadi, Hamed ; Titze, Natascha ; Wild, Katharina ; Rodehutscord, Markus
• KI-Agenten der Zukunft – Verstehen, anwenden, gestalten: Dein Einstieg in eine neue Ära der Technologie
  Rolf, Jeger ; Curssow, Alexander 2025 VOIMA Verlag
• Hydrogen Evolution Reaction: Unraveling the Factors Behind the Efficiency of Hydrogen Evolution in Endohedrally Doped C 60 Structures via Ab Initio Calculations and Insights from Machine Learning Models (Adv. Theory Simul. 3/2019)
  Tahini, Hassan A. ; Tan, Xin ; Smith, Sean C.
• Nowcasting carbon emissions in a data-rich environment: a comparison of dynamic factor models and machine learning algorithms
  Dai, Deliang ; Karlsson, Hyunjoo Kim ; Månsson, Kristofer ; Choi, In
• Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models
  Zhang, Qing ; Li, Qi ; Yu, Zhilong ; Yang, Ruibo ; Pazo, Emmanuel Eric ; Huang, Yue ; Liu, Hui ; Zhang, Chen ; Moutari, Salissou ; Zhao, Shaozhen
• Predicting Disease Activity Score in Rheumatoid Arthritis Patients Treated with Biologic Disease-Modifying Antirheumatic Drugs Using Machine Learning Models
  Salehi, Fatemeh ; Zarifi, Sara ; Bayat, Sara ; Habibpour, Mahdis ; Asemanrafat, Amirreza ; Kleyer, Arnd ; Schett, Georg ; Fritsch-Stork, ruth ; Eskofier, Bjoern M. ; Hsu, Chihyu ; Chen, Shuo-Tsung ; Fragulis, George F. 2025 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
• Towards a personalised approach in exercise-based cardiovascular rehabilitation – How can translational research help?
  Gevaert, Andreas B. ; Adams, Volker ; Bahls, Martin ; Bowen, T. Scott ; Cornelissen, Veronique ; Dörr, Marcus ; Hansen, Dominique ; Kemps, Hareld M.C. ; Leeson, Paul ; Van Craenenbroeck, Emeline M. ; Kränkel, Nicolle 2023 Technische Universität Dresden
• Immune-inflammatory, coagulation, adhesion, and imaging biomarkers combined in machine learning models improve the prediction of death 1 year after ischemic stroke
  Lehmann, Ana Lucia Cruz Fürstenberger ; Alfieri, Daniela Frizon ; Araújo, Maria Caroline Martins de ; Trevisani, Emanuelle Roberto ; Nagao, Maisa Rocha ; Pesente, Francisco Spessatto ; Gelinski, Jair Roberto ; Freitas, Leonardo Bodner de ; Flauzino, Tamires ; Lehmann, Márcio Francisco ; Lozovoy, Marcell Alysson Batisti ; Breganó, José Wander ; Colado Simão, Andréa Name ; Maes, Michael ; Reiche, Edna Maria Vissoci
• Local and Target Exploration of Conglomerate-Hosted Gold Deposits Using Machine Learning Algorithms: A Case Study of the Witwatersrand Gold Ores, South Africa
  Nwaila, Tsundukani Glen ; Zhang, Steven E. ; Frimmel, Hartwig E. ; Manzi, Musa S. D. ; Dohm, Christina ; Durrheim, Raymond J. ; Burnett, Mark ; Tolmay, Leon
• Cuckoo-Inspired Algorithms for Selecting Features in the Prediction of Diabetes Using Machine Learning Models
  Shafi, Salliah ; Ahmad, Sultan ; Ansari, Gufran Ahmad ; Abdeljaber, Hikmat A. M. ; Alanazi, Sultan ; Nazeer, Jabeen
• Using positive matrix factorization, sensitivity analysis, and machine learning models to identify hydrochemical processes and predict groundwater quality in a typical metropolitan city
  Xie, Zhan ; Huang, Jinhang ; Wei, Denghui ; Wang, Yangshuang ; Chen, Si ; Yang, Shiming ; Zhang, Xingjun ; Yang, Chang ; Li, Junyi ; Zhang, Yunhui
• Comparative analysis of machine learning models and standard codes for predicting compressive strength in hollow block masonry
  Sathiparan, Navaratnarajah ; Jeyananthan, Pratheeba
• Machine learning potential assisted exploration of complex defect potential energy surfaces
  Jiang, Chao ; Marianetti, Chris A. ; Khafizov, Marat ; Hurley, David H.
• Thermal performance prediction of a V-trough solar water heater with a modified twisted tape using ANFIS, G.L.R., R.T. and SVM models of machine learning
  Saravanan, A. ; Sree, S. Rama ; Reddy, M. Sreenivasa ; PV, Elumalai ; Karthik, Krishnasamy ; Cheeli, Ashok Kumar ; Hasan, Nasim
• Deep context of citations using machine-learning models in scholarly full-text articles
  Ul-Hassan, Saeed ; Imran, Mubashir ; Iqbal, Sehrish ; Aljohani, Naif Radi ; Nawaz, Raheel
• Predicting Lipophilicity of Drug‐Discovery Molecules using Gaussian Process Models
  Schroeter, Timon S. ; Schwaighofer, Anton ; Mika, Sebastian ; Ter Laak, Antonius ; Suelzle, Detlev ; Ganzer, Ursula ; Heinrich, Nikolaus ; Müller, Klaus‐Robert