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ORCID23rd ICCS 2023: Prague, Czech Republic - Part IV
- Jirí Mikyska
, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14076, Springer 2023, ISBN 978-3-031-36026-8 - Tomasz M. Gwizdalla, Aleksandra Piecuch:
The Social Graph Based on Real Data. 3-9 - Louis Félix Weyland, Ana Isabel Barros, Koen van der Zwet:
Longitudinal Analysis of the Topology of Criminal Networks Using a Simple Cost-Benefit Agent-Based Model. 10-24 - Charles Dupont, Debraj Roy:
Manifold Analysis for High-Dimensional Socio-Environmental Surveys. 25-39 - Marcel Geller, Vítor V. Vasconcelos, Flávio L. Pinheiro:
Toxicity in Evolving Twitter Topics. 40-54 - Rounak Meyur, Kostiantyn Lyman, Bala Krishnamoorthy, Mahantesh Halappanavar:
Structural Validation of Synthetic Power Distribution Networks Using the Multiscale Flat Norm. 55-69 - Kazi Ashik Islam, Rounak Meyur, Aparna Kishore, Swapna Thorve, Da Qi Chen, Madhav V. Marathe:
OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles. 70-85 - Kwabena Frimpong Marfo, Malgorzata Przybyla-Kasperek:
Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data. 89-103 - Jakub Leszek Pach:
Database of Fragments of Medieval Codices of the 11th-12th Centuries - The Uniqueness of Requirements and Data. 104-112 - Jan Dvorák, Filip Hácha, Libor Vása:
Global Optimisation for Improved Volume Tracking of Time-Varying Meshes. 113-127 - Jakub Szymkowiak, Marek Bazan, Krzysztof Halawa, Tomasz Janiczek:
Detection of Objects Dangerous for the Operation of Mining Machines. 128-139 - Rayner Alfred, Rayner Henry Pailus, Joe Henry Obit, Yuto Lim, Haviluddin Sukirno:
A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience. 140-154 - Kinga Wiktoria Blaszczyk, Dominik Szajerman:
Champion Recommendation in League of Legends Using Machine Learning. 155-170 - Aleksandra Konopka, Karol Struniawski, Ryszard Kozera:
Classification Performance of Extreme Learning Machine Radial Basis Function with K-means, K-medoids and Mean Shift Clustering Algorithms. 171-186 - Urszula Guminska, Aneta Poniszewska-Maranda, Joanna Ochelska-Mierzejewska:
Impact of Text Pre-processing on Classification Accuracy in Polish. 187-201 - Zhanchao Gao, Lingwei Wei, Wei Zhou, Meng Lin, Songlin Hu:
A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems. 202-216 - Clopas Kwenda, Mandlenkosi Victor Gwetu, Jean Vincent Fonou Dombeu:
Forest Image Classification Based on Deep Learning and XGBoost Algorithm. 217-229 - Piotr M. Szczypinski:
Radius Estimation in Angiograms Using Multiscale Vesselness Function. 230-244 - Tomasz Krzeszowski, Adam Switonski, Michal Zielinski, Konrad Wojciechowski, Jakub Rosner:
3D Tracking of Multiple Drones Based on Particle Swarm Optimization. 245-258 - Rafal Grycuk, Rafal Scherer:
Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes. 259-273 - Artur Klepaczko:
Cerebral Vessel Segmentation in CE-MR Images Using Deep Learning and Synthetic Training Datasets. 274-288 - Alexander Malyshev, Algirdas Noreika:
Numerical Method for 3D Quantification of Glenoid Bone Loss. 289-296 - Akemi Gálvez, Iztok Fister Jr., Lihua You, Iztok Fister, Andrés Iglesias:
Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps. 297-310 - Urszula Golyska, Nguyen Anh Khoa Doan:
Clustering-Based Identification of Precursors of Extreme Events in Chaotic Systems. 313-327 - Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri:
Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. 328-335 - Alfonso Gijón, Miguel Molina-Solana, Juan Gómez-Romero:
Graph Neural Network Potentials for Molecular Dynamics Simulations of Water Cluster Anions. 336-343 - Nikolaos Bempedelis, Luca Magri:
Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model. 344-352 - Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi:
An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations. 353-366 - Maxime Beauchamp, Quentin Febvre, Joseph Thompson, Hugo Georgenthum, Ronan Fablet:
Learning Neural Optimal Interpolation Models and Solvers. 367-381 - Elise Özalp, Georgios Margazoglou, Luca Magri:
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. 382-389 - Malgorzata Przybyla-Kasperek, Katarzyna Kusztal:
Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model. 390-405 - Georgios Margazoglou, Luca Magri:
Data-Driven Stability Analysis of a Chaotic Time-Delayed System. 406-413 - Arthur Filoche, Julien Brajard, Anastase Alexandre Charantonis, Dominique Béréziat:
Learning 4DVAR Inversion Directly from Observations. 414-421 - Jake Lever, Sibo Cheng, Rossella Arcucci:
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting. 422-429 - Hongwei Fan, Sibo Cheng, Audrey J. de Nazelle, Rossella Arcucci:
An Efficient ViT-Based Spatial Interpolation Learner for Field Reconstruction. 430-437 - Sophie Mauran, Sandrine Mouysset, Ehouarn Simon, Laurent Bertino:
A Kernel Extension of the Ensemble Transform Kalman Filter. 438-452 - Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot:
Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference. 453-468 - Jakub Jakubowski, Przemyslaw Stanisz, Szymon Bobek, Grzegorz J. Nalepa:
Towards Online Anomaly Detection in Steel Manufacturing Process. 469-482 - Csaba Gáspár:
Biharmonic Scattered Data Interpolation Based on the Method of Fundamental Solutions. 485-499 - Mitja Jancic, Miha Rot, Gregor Kosec:
Spatially-Varying Meshless Approximation Method for Enhanced Computational Efficiency. 500-514 - Andrej Kolar-Pozun, Mitja Jancic, Miha Rot, Gregor Kosec:
Oscillatory Behaviour of the RBF-FD Approximation Accuracy Under Increasing Stencil Size. 515-522 - Irena Jaworska:
On the Weak Formulations of the Multipoint Meshless FDM. 523-531 - Piet Jarmatz, Sebastian Lerdo, Philipp Neumann:
Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling. 535-549 - Alireza Jahani, Shenene Jess, Derek Groen, Diana Suleimenova, Yani Xue:
Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons. 550-563 - Lucas Heighington, Derek Groen:
Towards a Simplified Solution of COVID Spread in Buildings for Use in Coupled Models. 564-571 - Yehor Yudin, David Coster, Udo von Toussaint, Frank Jenko:
Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations. 572-586 - Tomasz Dzido:
Applying Reinforcement Learning to Ramsey Problems. 589-596 - Jakub Adamczyk, Wojciech Czech:
Strengthening Structural Baselines for Graph Classification Using Local Topological Profile. 597-611 - Samin Aref, Mahdi Mostajabdaveh, Hriday Chheda:
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar. 612-626 - Karolina Bienias, David Ramsey:
Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks. 627-634 - Luca Cappelletti, Tommaso Fontana, Oded Green, David A. Bader:
Parallel Triangles and Squares Count for Multigraphs Using Vertex Covers. 635-646 - Stanislav Sobolevsky:
Deep Learning Attention Model for Supervised and Unsupervised Network Community Detection. 647-654 - Antoine Huchet, Jean-Loup Guillaume, Yacine Ghamri-Doudane:
On Filtering the Noise in Consensual Communities. 655-670
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