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Artikel 16071 Sea-surface pCO2 maps for the Bay of Bengal based on advanced machine learning algorithms
Enthalten in Scientific data Bd. 11, 13.4.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 16072 Search Diversification in ACO Algorithms and Its Application
Enthalten in Cybernetics and systems analysis Bd. 61, 26.4.2025, Nr. 1, date:1.2025: 21-33
Online Ressource
Artikel 16073 Search for feasible solutions by interior point algorithms
Enthalten in Numerical analysis and applications Bd. 9, 4.9.2016, Nr. 3, date:7.2016: 191-206
Online Ressource
Artikel 16074 Search-Trajectory Optimization: Part II, Algorithms and Computations
Enthalten in Journal of optimization theory and applications Bd. 169, 16.6.2015, Nr. 2, date:5.2016: 550-567
Online Ressource
Artikel 16075 Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks
Enthalten in European physical journal special topics Bd. 233, 26.9.2024, Nr. 15-16, date:11.2024: 2425-2463
Online Ressource
Artikel 16076 Searching for Software Vulnerabilities Using an Ensemble of Algorithms for the Analysis of a Graph Representation of the Code
Enthalten in Automatic control and computer sciences Bd. 57, 29.2.2024, Nr. 8, date:12.2023: 947-957
Online Ressource
Artikel 16077 Searching for structural bias in particle swarm optimization and differential evolution algorithms
Enthalten in Swarm intelligence Bd. 10, 14.11.2016, Nr. 4, date:12.2016: 307-353
Online Ressource
Artikel 16078 Searching the landscape of flux vacua with genetic algorithms
Enthalten in Journal of high energy physics Bd. 2019, 8.11.2019, Nr. 11, date:11.2019: 1-39
Online Ressource
Artikel 16079 Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors
Enthalten in Scientific reports Bd. 15, 18.3.2025, Nr. 1, date:12.2025: 1-27
Online Ressource
Artikel 16080 Seasonal nitrate algorithms for nitrate retrieval using OCEANSAT-2 and MODIS-AQUA satellite data
Enthalten in Environmental monitoring and assessment Bd. 187, 12.3.2015, Nr. 4, date:4.2015: 1-15
Online Ressource


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