Computational Science - ICCS 2025
Description
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).
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Content
ICCS 2025 Main Track Full Papers.- Control Synthesis of Homogeneous Approximations of Nonlinear Systems.- A Robust Ensemble Malware Detector Against Powerful Adversaries.- Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models.- Hierarchical Structural Information - Theory and Applications.- A Connectionist Approach to Federated Digital Twins.- Low Latency Recoding CORDIC Algorithm for FPGA Implementation.- Global Optimization of Microwave Circuits Using Dimensionality Reduction and Multi-Fidelity EM Simulations.- Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting.- Microscopic Binary Engagement Model.- Dead Gate Elimination.- Advances in Adapting Memory-Bound CFD Computations to RISC-V Multicore Architecture.- Detecting Potential HIV Inhibitors using the Cross Siamese Network.- Generation of Quality Green's Function Libraries in Complex Three-dimensional Crustal Structures by Adaptive Mesh Refinement.- An Iterative Scheme for the Solidification Benchmark Modeling.- Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation.- A Hybrid Approach for Medical Deepfake Detection Using Depth-Wise Convolutions in Vision Transformer and Frequency Domain Analysis.- Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware.- Joint Spatial-Temporal Representation for Host Intrusion Detection System.- Will it Blend? Mixing Numerical and Machine-learned Physics Quantities for Accurate On-the-Fly Surrogate Modeling.- Biological Community Detection with Graph neural network and Network Curvature Analysis on Gene Co-expression Networks.- Incorporating Performance Ordering in MCDA: A Study of the Frobenius SPOTIS Method.
