Computational sciences and artificial intelligence in industry : new digital technologies for solving future societal and economical challenges

Computational sciences and artificial intelligence in industry new digital technologies for solving future societal and economical challenges

Chapter 1. Co-development of Methodology, Applications,and Hardware in Computational Science and Artificial Intelligence -- Chapter 2. Novel Strategies for Data-driven Evolutionary Optimization -- Chapter 3. Artificial Intelligence and Computational Science -- Chapter 4. Supervised Learning and Applie...

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Bibliographische Detailangaben
Körperschaft: Computational Sciences and AI in Industry (VerfasserIn)
Weitere Verfasser: Tuovinen, Tero (HerausgeberIn), Periaux, Jacques (HerausgeberIn), Neittaanmäki, Pekka (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2022
Schriftenreihe:International series on intelligent systems, control and automation: science and engineering 76
Schlagworte:
Konferenzschrift
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Titel Jahr Verfasser
Co-development of Methodology, Applications, and Hardware in Computational Science and Artificial Intelligence 2022 Neittaanmäki, Pekka
Supervised Learning and Applied Mathematics 2022 Pironneau, Olivier
Improving Clustering and Cluster Validation with Missing Data Using Distance Estimation Methods 2022 Niemelä, Marko
Predicting Overweight and Obesity in Later Life from Childhood Data: A Review of Predictive Modeling Approaches 2022 Rautiainen, Ilkka
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures 2022 Rosafalco, Luca
Generation of Error Indicators for Partial Differential Equations by Machine Learning Methods 2022 Muzalevskiy, Alexey
Limited Memory Bundle Method for Clusterwise Linear Regression 2022 Karmitsa, Napsu
Validation of Knee KL-classifying Deep Neural Network with Finnish Patient Data 2022 Niinimäki, Esko
Applications of Industrial IoT and WSNs in O&M Programmes for Offshore Wind Farms 2022 Loughney, Sean
Novel Strategies for Data-Driven Evolutionary Optimization 2022 Roy, Swagata
Newton Method for Minimal Learning Machine 2022 Hämäläinen, Joonas
Application of the Topological Gradient to Parsimonious Neural Networks 2022 Bashtova, Kateryna
Artificial Intelligence and Computational Science 2022 Neittaanmäki, Pekka
Unsupervised Numerical Characterization in Determining the Borders of Malignant Skin Tumors from Spectral Imagery 2022 Pölönen, Ilkka
Kubelka-Munk Model and Stochastic Model Comparison in Skin Physical Parameter Retrieval 2022 Annala, Leevi
Predicting Future Overweight and Obesity from Childhood Growth Data: A Case Study 2022 Rautiainen, Ilkka
Using Wave Propagation Simulations and Convolutional Neural Networks to Retrieve Thin Film Thickness from Hyperspectral Images 2022 Erkkilä, Anna-Leena
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