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Book Synopsis

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.

Computational Science ICCS 2025

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    A Paperback by Michael H. Lees

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      View other formats and editions of Computational Science ICCS 2025 by Michael H. Lees

      Publisher: Springer
      Publication Date: 31/07/2025
      ISBN13: 9783031976254, 978-3031976254
      ISBN10:
      Also in:
      Computing Mathematical theory of computation

      Description

      Book Synopsis

      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.

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