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ICCS 2021: Krakow, Poland
- Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12746, Springer 2021, ISBN 978-3-030-77976-4
Computer Graphics, Image Processing and Artificial Intelligence
- Jaroslaw Andrzejczak, Wiktoria Kozlowicz, Rafal Szrajber, Adam Wojciechowski:
Factors Affecting the Sense of Scale in Immersive, Realistic Virtual Reality Space. 3-16 - Ewa Juralewicz, Urszula Markowska-Kaczmar:
Capsule Network Versus Convolutional Neural Network in Image Classification - Comparative Analysis. 17-30 - Haibin Fu, Shaojun Bian, Ehtzaz Chaudhry, Andrés Iglesias, Lihua You, Jian-Jun Zhang:
State-of-the-Art in 3D Face Reconstruction from a Single RGB Image. 31-44 - Jan Dvorák, Petr Vanecek, Libor Vása:
Towards Understanding Time Varying Triangle Meshes. 45-58 - Yu Xia, Shuangbu Wang, Lihua You, Jian-Jun Zhang:
Semantic Similarity Metric Learning for Sketch-Based 3D Shape Retrieval. 59-69 - Komal Dadhich, Siri Chandana Daggubati, Jaya Sreevalsan-Nair:
ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-Based Computational Model. 70-83 - Maria Mamica, Paulina Kaplon, Pawel Jemiolo:
EEG-Based Emotion Recognition Using Convolutional Neural Networks. 84-90 - Weiheng Hong, Andy Song:
Improving Deep Object Detection Backbone with Feature Layers. 91-105 - Lukasz Spierewka, Rafal Szrajber, Dominik Szajerman:
Procedural Level Generation with Difficulty Level Estimation for Puzzle Games. 106-119 - Kamil Wereszczynski, Agnieszka Michalczuk, Pawel Foszner, Dominik Golba, Michal Cogiel, Michal Staniszewski:
ELSA: Euler-Lagrange Skeletal Animations - Novel and Fast Motion Model Applicable to VR/AR Devices. 120-133 - Ouwen Li, Ehtzaz Chaudhry, Xiaosong Yang, Haibin Fu, Junheng Fang, Zaiping Zhu, Andrés Iglesias, Algirdas Noreika, Alfonso Carriazo, Lihua You, Jian-Jun Zhang:
Composite Generalized Elliptic Curve-Based Surface Reconstruction. 134-148 - Pawel Forczmanski, Anton Smolinski:
Supporting Driver Physical State Estimation by Means of Thermal Image Processing. 149-163 - Marcin Zielinski, Piotr Napieralski, Marcin Daszuta, Dominik Szajerman:
Smart Events in Behavior of Non-player Characters in Computer Games. 164-177 - Piotr Wozniak, Bogdan Kwolek:
Place Inference via Graph-Based Decisions on Deep Embeddings and Blur Detections. 178-192 - Karol Dzialowski, Pawel Forczmanski:
Football Players Movement Analysis in Panning Videos. 193-206 - Zaiping Zhu, Ehtzaz Chaudhry, Shuangbu Wang, Yu Xia, Andrés Iglesias, Lihua You, Jian-Jun Zhang:
Shape Reconstruction from Point Clouds Using Closed Form Solution of a Fourth-Order Partial Differential Equation. 207-220
Data-Driven Computational Sciences
- Tressy Thomas, Enayat Rajabi:
Addressing Missing Data in a Healthcare Dataset Using an Improved kNN Algorithm. 223-230 - Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Ilkay Altintas:
Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements. 231-244 - Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero:
Scalable Statistical Inference of Photometric Redshift via Data Subsampling. 245-258 - Paul Banda, Muhammed A. Bhuiyan, Kazi N. Hasan, Guomin Kevin Zhang, Andy Song:
Timeseries Based Deep Hybrid Transfer Learning Frameworks: A Case Study of Electric Vehicle Energy Prediction. 259-272 - Ngoc-Tri Ngo, Anh-Duc Pham, Ngoc-Son Truong, Thi Thu Ha Truong, Nhat-To Huynh:
Hybrid Machine Learning for Time-Series Energy Data for Enhancing Energy Efficiency in Buildings. 273-285 - Clay Carper, Aaron McClellan, Craig C. Douglas:
I-80 Closures: An Autonomous Machine Learning Approach. 286-291 - Paul Banda, Muhammed A. Bhuiyan, Guomin Kevin Zhang, Andy Song:
Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks. 292-305
Machine Learning and Data Assimilation for Dynamical Systems
- Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya:
Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods. 309-322 - Alberto Racca, Luca Magri:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). 323-329 - Marcella Torres:
A Machine Learning Method for Parameter Estimation and Sensitivity Analysis. 330-343 - Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Auto-Encoded Reservoir Computing for Turbulence Learning. 344-351 - Maciej Filinski, Pawel Wachel, Koen Tiels:
Low-Dimensional Decompositions for Nonlinear Finite Impulse Response Modeling. 352-359 - Jamal Afzali, César Quilodrán Casas, Rossella Arcucci:
Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models. 360-372 - Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Convolutional Autoencoder. 373-386 - Giuseppe Brandi, Tiziana di Matteo:
Higher-Order Hierarchical Spectral Clustering for Multidimensional Data. 387-400 - Juan Gómez-Romero, Miguel Molina-Solana:
Towards Data-Driven Simulation Models for Building Energy Management. 401-407 - Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper:
Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models. 408-419 - Stefano Fiscale, Pasquale De Luca, Laura Inno, Livia Marcellino, Ardelio Galletti, Alessandra Rotundi, Angelo Ciaramella, Giovanni Covone, Elisa Quintana:
A GPU Algorithm for Outliers Detection in TESS Light Curves. 420-432 - Varuni Katti Sastry, Romit Maulik, Vishwas Rao, Bethany Lusch, S. Ashwin Renganathan, Rao Kotamarthi:
Data-Driven Deep Learning Emulators for Geophysical Forecasting. 433-446 - Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Zhiwei Fang, Max Rietmann, Wonmin Byeon, Sanjay Choudhry:
NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. 447-461
MeshFree Methods and Radial Basis Functions in Computational Sciences
- Alessandro Felici, Antonio Martínez-Pascual, Corrado Groth, Leonardo Geronzi, Stefano Porziani, Ubaldo Cella, Carlo Brutti, Marco Evangelos Biancolini:
Analysis of Vortex Induced Vibration of a Thermowell by High Fidelity FSI Numerical Analysis Based on RBF Structural Modes Embedding. 465-478 - Stefano Porziani, Francesco De Crescenzo, Emanuele Lombardi, Christian Iandiorio, Pietro Salvini, Marco Evangelos Biancolini:
Automatic Optimization Method Based on Mesh Morphing Surface Sculpting Driven by Biological Growth Method: An Application to the Coiled Spring Section Shape. 479-491
Multiscale Modelling and Simulation
- Bartosz Bosak, Tomasz Piontek, Paul Karlshoefer, Erwan Raffin, Jalal Lakhlili, Piotr Kopta:
Verification, Validation and Uncertainty Quantification of Large-Scale Applications with QCG-PilotJob. 495-501 - Alireza Jahani, Hamid Arabnejad, Diana Suleimenova, Milana Vuckovic, Imran Mahmood, Derek Groen:
Towards a Coupled Migration and Weather Simulation: South Sudan Conflict. 502-515 - Veronica Vidal, Ana Cortés, Alba Badia, Gara Villalba:
Evaluating WRF-BEP/BEM Performance: On the Way to Analyze Urban Air Quality at High Resolution Using WRF-Chem+BEP/BEM. 516-527 - Swadesh Pal, Roderick V. N. Melnik:
Pathology Dynamics in Healthy-Toxic Protein Interaction and the Multiscale Analysis of Neurodegenerative Diseases. 528-540 - Maryam Alqasemi, Youssef Belhamadia:
A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model. 541-548 - José Pablo Quesada-Molina, Stefano Mariani:
A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction. 549-561 - Marek Klimczak, Witold Cecot:
MsFEM Upscaling for the Coupled Thermo-Mechanical Problem. 562-575 - Piet Jarmatz, Felix Maurer, Philipp Neumann:
MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD. 576-589
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