검색어 : 통합검색[Ensemble Modern]
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241
- IMPROVING THE ACCURACY OF SURGE MODELS USING SUBGRID CORRECTIONS
- Kennedy, Andrew; Wirasaet, Damrongsak; Bolster, Diogo; Dietrich, J. Casey; ; (Coastal engineering : proceedings of the ... international conference, v.36, 2018, pp.46)
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242
- PREDICTION OF ARCTIC SEA ICE FOR SUMMER SEASONS USING THE INM RAS EARTH SYSTEM MODEL
- BRAGINA , V.V.; TARASEVICH , M.A.; VOLODIN, E.M.; ; (Meteorologi&n.illigat;&n.arligat; i gidrologi&n.illigat;&n.arligat; = Meteorologia i hydrologia, v.8, 2024, pp.36-48)
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243
- ENSEMBLE OF SIMPLE SPIKING NEURAL NETWORKS AS A CONCEPT DRIFT DETECTOR
- Bodyanskiy, Ye. V.; Savenkov, D. V.; ; (Radio electronics, computer science, control = Radìoelektronika, Ìnformatika, Upravlìnnâ, v.4, 2024, pp.85-91)
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244
- Investigation on the use of ensemble learning and big data in crop identification
- Ahmed, Sayed; Mahmoud, Amira S.; Farg, Eslam; Mohamed, Amany M.; Moustafa, Marwa S.; Abutaleb, Khaled; Saleh, Ahmed M.; AbdelRahman, Mohamed A.E.; AbdelSalam, Hisham M.; Arafat, Sayed M.; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt; National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt; (Heliyon, v.9, 2023, pp.e13339)
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245
- Inhomogeneous dephasing masks coherence lifetimes in ensemble measurements
- Pelzer, Kenley M.; Griffin, Graham B.; Gray, Stephen K.; Engel, Gregory S.; The University of Chicago 1 The James Franck Institute and Department of Chemistry, , Chicago, Illinois 60637, USA; The University of Chicago 1 The James Franck Institute and Department of Chemistry, , Chicago, Illinois 60637, USA; Argonne National Laboratory 2 Center for Nanoscale Materials, , Argonne, Illinois 60439, USA; The University of Chicago 1 The James Franck Institute and Department of Chemistry, , Chicago, Illinois 60637, USA; (The Journal of chemical physics, v.136, 2012, pp.164508)
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246
- Improved software defect prediction using Pruned Histogram-based isolation forest
- Ding, Zhiguo; Xing, Liudong; College of Mathematics and Computer Science, Zhejiang Normal University; Electrical & Computer Engineering Department, University of Massachusetts; (Reliability engineering & system safety, v.204, 2020, pp.107170)
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247
- Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem
- Senkerik, Roman; Kadavy, Tomas; Viktorin, Adam; Pluhacek, Michal; Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic; Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic; Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic; Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic; (Evolutionary Computation (CEC), 2019 IEEE Congress on, v.2019, 2019, pp.2872-2877)
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248
- Effective face recognition with hybrid distance-key frame selection using TBO-ensemble model
- Musale, Jitendra Chandrakant; Singh, Anujkumar; Shirke, Swati; Computer Science and Engineering, Shri Jagdishprasad Jhabarmal Tibrewala University, Vidyanagari, Churela 333001, Rajasthan, India; Computer Science and Engineering, School of Computing Science and Engineering, Galgotias University Greater Noida, India; Computer Science and Engineering, MIT Art Design and Technology University Pune, Loni Kalbhor, Pune 412201, Maharashtra, India; (International journal of wavelets, multiresolution and information processing, v.22, 2024, pp.2350044)
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249
- eDiaPredict: An Ensemble-based Framework for Diabetes Prediction
- Singh, Ashima; Dhillon, Arwinder; Kumar, Neeraj; Hossain, M. Shamim; Muhammad, Ghulam; Kumar, Manoj; Thapar University, Patiala, Pb, India; Thapar University, Patiala, Pb, India; Thapar University, Patiala, Pb, India; Research Chair of Pervasive and Mobile Computing, and Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Saudi Arabia; SMVD University, Katra, India; (ACM transactions on multimedia computing communications and applications, v.17, 2021, pp.1-26)
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250
- TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change
- Frausto Solí s, Juan; Estrada-Patiñ o, Erick; Ponce Flores, Mirna; Sá nchez-Herná ndez, Juan Paulo; Castilla-Valdez, Guadalupe; Gonzá lez-Barbosa, Javier; Graduate Program Division, Tecnoló gico Nacional de Mé xico/Instituto Tecnoló gico de Ciudad Madero, Ciudad Madero 89440, Mexico; Graduate Program Division, Tecnoló gico Nacional de Mé xico/Instituto Tecnoló gico de Ciudad Madero, Ciudad Madero 89440, Mexico; Graduate Program Division, Tecnoló gico Nacional de Mé xico/Instituto Tecnoló gico de Ciudad Madero, Ciudad Madero 89440, Mexico; Direcció n de Informá tico, Electró nica y Telecomunicaciones, Universidad Polité cnica del Estado de Morelos, Boulevard Cuauhná huac 566, Jiutepec 62574, Mexico; Graduate Program Division, Tecnoló gico Nacional de Mé xico/Instituto Tecnoló gico de Ciudad Madero, Ciudad Madero 89440, Mexico; Graduate Program Division, Tecnoló gico Nacional de Mé xico/Instituto Tecnoló gico de Ciudad Madero, Ciudad Madero 89440, Mexico; (Mathematical and computational applications, v.30, 2025, pp.46)
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