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Computational Science ICCS 2025: 25th International Conference, Singapore, Singapore, July 79, 2025, Proceedings, Part I [Minkštas viršelis]

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  • Formatas: Paperback / softback, 314 pages, aukštis x plotis: 235x155 mm, 125 Illustrations, color; 7 Illustrations, black and white; XIII, 314 p. 132 illus., 125 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15903
  • Išleidimo metai: 30-Jun-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031976258
  • ISBN-13: 9783031976254
Kitos knygos pagal šią temą:
Computational Science ICCS 2025: 25th International Conference, Singapore, Singapore, July 79, 2025, Proceedings, Part IDidesnis paveikslėlis
  • Formatas: Paperback / softback, 314 pages, aukštis x plotis: 235x155 mm, 125 Illustrations, color; 7 Illustrations, black and white; XIII, 314 p. 132 illus., 125 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 15903
  • Išleidimo metai: 30-Jun-2025
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031976258
  • ISBN-13: 9783031976254
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031976254.html

The 4-volume set LNCS constitutes the main proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025.

The 64 full papers and 52 short papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The ICCS 2025 main track full papers are organized in volumes 15903–15905 (Parts I to III) and the ICCS 2025 main track short papers are included in volume 15906 (Part IV).

ICCS 2025 Main Track Full Papers.- Backtranslation and Paraphrasing in
the LLM Era? Comparing Data Augmentation Methods for Emotion Classification.-
Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the
Challenges with Curated CDK2/4/6 Breast Cancer Dataset.- Bus Loop Scheduling
with Dueling Double Deep Q Network.- Precise Language Deception: XAI Driven
Targeted Adversarial Examples with Restricted Knowledge.- Tensorial
Implementation for Robust Variational Physics-Informed Neural Networks.-
Neural Parabolic Wave Equation for Refractivity Estimation.- Discover the
Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel
GNN-Encoder-Decoder-LSTM Deep Learning Architecture.- Towards Weight-space
Interpretation of Low-Rank Adapters for Diffusion Models.- Discovering
Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression.-
Combining Shape and Trajectory Features for Human Action Classification using
a Neural Network and Synthetic Data.- Improving Object Detection Quality in
Football Through Super-Resolution Techniques.- Flexible User-defined Domain
Decomposition in Kilometer-Scale E3SM Land Model Simulation.- A Deeper Look
into the Limitations of Early-Exit Architectures for Single and Multi-Label
Classification.- Comparative Analysis of Black-Box Optimization Methods for
Weather Intervention Design.- Dual Adaptive Windows Toward Concept-Drift in
Online Network Intrusion Detection.- Estimating Airborne Transmission Risk
for Indoor Space: Coupling Agent-based Model and Computational Fluid
Dynamics.- A Dynamic Model of Customers Behavior: Integrating
Econophysics and Physics-Informed Neural Networks.- Adaptive PCA-Based
Outlier Detection for Multi-Feature Time Series in Space Missions.- Adaptive
Physics Refinement for Anatomic Adhesive Dynamics Simulations.- Microfluidic
Digital Twin for Enhanced Single-Cell Analysis.- Energy-Efficient Neural
Network Training for Scientific Datasets with Advanced Similarity Analytics
and Orchestration.