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ORCID24th ICCS 2024: Malaga, Spain - Part V
- Leonardo Franco
, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14836, Springer 2024, ISBN 978-3-031-63774-2
Computational Optimization, Modelling and Simulation
- Slawomir Koziel, Anna Pietrenko-Dabrowska, Leifur Leifsson:
Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks. 3-18 - Anna Pietrenko-Dabrowska, Slawomir Koziel, Leifur Leifsson:
Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-fidelity EM Analysis. 19-34 - Karol Struniawski, Aleksandra Konopka, Ryszard Kozera:
Exploring Apple Silicon's Potential from Simulation and Optimization Perspective. 35-42 - Eduardo Vyhmeister, Rocio Paez, Gabriel González-Castañé:
Deep Neural Network for Constraint Acquisition Through Tailored Loss Function. 43-57 - Marko Djukanovic, Aleksandar Kartelj, Tome Eftimov, Jaume Reixach, Christian Blum:
Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem. 58-73 - Taeho Jeong, Pavankumar Koratikere, Leifur Leifsson, Slawomir Koziel, Anna Pietrenko-Dabrowska:
Adaptive Hyperparameter Tuning Within Neural Network-Based Efficient Global Optimization. 74-89 - Julien Rodriguez, François Galea, François Pellegrini, Lilia Zaourar:
Hypergraph Clustering with Path-Length Awareness. 90-104 - Abhijnan Dikshit, Leifur Leifsson, Slawomir Koziel, Anna Pietrenko-Dabrowska:
Adaptive Sampling for Non-intrusive Reduced Order Models Using Multi-task Variance. 105-119 - Ainulla Khan, Moyuru Yamada, Abhishek Chikane, Manohar Kaul:
GraphMesh: Geometrically Generalized Mesh Refinement Using GNNs. 120-134 - Mariusz Bodzioch:
Gradient Method for Solving Singular Optimal Control Problems. 135-149 - Krzysztof Trojanowski, Artur Mikitiuk, Jakub A. Grzeszczak, Frédéric Guinand:
Multiobjective Optimization of Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas. 150-165 - Mikolaj Bajkowski, Dominik Szajerman:
Single-Scattering and Multi-scattering in Real-Time Volumetric Rendering of Clouds. 166-180 - Alexander N. Prokopenya, Mukhtar Zh. Minglibayev, Aiken Kosherbayeva:
Modeling the Dynamics of a Multi-planetary System with Anisotropic Mass Variation. 181-196 - Guillaume Fertin, Éric Monfroy, Claudia Vasconcellos-Gaete:
Best of Both Worlds: Solving the Cyclic Bandwidth Problem by Combining Pre-existing Knowledge and Constraint Programming Techniques. 197-211 - Pawel Krysztofik, Bartlomiej Piotr Grzelak, Piotr Sliwka, Slawomir Sujecki, Stanislaw Kozdrowski:
A Novel Bandwidth Occupancy Forecasting Method for Optical Networks. 212-226 - Philipp Andelfinger, Justin Noah Kreikemeyer:
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. 227-241 - Geethu Joy, Christian R. Huyck, Xin-She Yang:
Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods. 242-253
Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine
- Jakub Klimczak, Ahmed Abdeen Hamed:
Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature. 257-265 - Fernando Gallego, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas:
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. 266-280 - Jan K. Argasinski, Iwona Grabska-Gradzinska, Karol Przystalski, Jeremi K. Ochab, Tomasz Walkowiak:
Stylometric Analysis of Large Language Model-Generated Commentaries in the Context of Medical Neuroscience. 281-295
Machine Learning and Data Assimilation for Dynamical Systems
- Alfonso Gijón, Simone Eiraudo, Antonio Manjavacas, Lorenzo Bottaccioli, Andrea Lanzini, Miguel Molina-Solana, Juan Gómez-Romero:
Explainable Hybrid Semi-parametric Model for Prediction of Power Generated by Wind Turbines. 299-306 - Erik Chinellato, Fabio Marcuzzi:
State Estimation of Partially Unknown Dynamical Systems with a Deep Kalman Filter. 307-321 - Kun Wang, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci:
Neural Network as Transformation Function in Data Assimilation. 322-329 - Jakub Jakubowski, Przemyslaw Stanisz, Szymon Bobek, Grzegorz J. Nalepa:
Assessment of Explainable Anomaly Detection for Monitoring of Cold Rolling Process. 330-344 - Defne Ege Ozan, Luca Magri:
Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach. 345-352 - Damian Serwata, Mateusz Nurek, Radoslaw Michalski:
A Perspective on the Ubiquity of Interaction Streams in Human Realm. 353-367 - Alessio Catalfamo, Atakan Aral, Ivona Brandic, Ewa Deelman, Massimo Villari:
Machine Learning Workflows in the Computing Continuum for Environmental Monitoring. 368-382 - Andrianirina Rakotoharisoa, Simone Cenci, Rossella Arcucci:
Evaluating the Impact of Atmospheric CO2 Emissions via Super Resolution of Remote Sensing Data. 383-390
Multiscale Modelling and Simulation
- Ziyan Fu, Jorge Corker, Mizi Fan:
Integrated Multi-scale Model of Thermal Conductivity for Expanded Perlite Powder Vacuum Insulation Panels. 393-407 - Xiao Xue, Jon W. S. McCullough, Sharp Chim Yui Lo, Ioannis Zacharoudiou, Bálint Joó, Peter V. Coveney:
The Lattice Boltzmann Based Large Eddy Simulations for the Stenosis of the Aorta. 408-420 - Laura M. Harbach, Derek Groen, Alireza Jahani, Diana Suleimenova, Maziar Ghorbani, Yani Xue:
A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh. 421-428 - Armin Kashefi, Faris Alwzinani:
Advancing Organizational Performance: A Strategic Framework to Multiscale Modeling and Simulation. 429-436
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