Computational Science and Its Applications - ICCSA 2025

The three-volumes LNCS 15648, 15649, 15650 set constitutes the refereed proceedings of the 25th International Conference on Computational Science and Its Applications - ICCSA 2025, held in Istanbul, Turkey, during June 30July 3, 2025.

The 71 full papers, 6 short papers, and 1 PHD showcase paper were carefully reviewed and selected from 269 submissions. The papers have been organized in topical sections as follows:

Part I: Computational Methods, Algorithms and Scientific Applications; High Performance Computing and Networks; Geometric Modeling, Graphics and Visualization; Advanced and Emerging Applications; Information Systems and Technologies; Urban and Regional Planning.

Part II: Information Systems and Technologies;

Part III: Information Systems and Technologies; Urban and Regional Planning; PHD Showcase Paper; Short papers.

Inhalt

Information Systems and Technologies.- A Deep Learning-Based Computer Vision System for Automatic Screw Detection in Vehicle Wheel Boxes.- Impact of distances in an anomaly detection context for time series in software testing.- Analysis of Bitcoin Trends through the Integration of On-Chain Financial Indicators and Machine Learning.- An End-To-End Computer Vision System for Structured Information Extraction From Turkish ID Card Images.- Correlating Socioeconomic Factors and Syphilis Incidence: A Case Study in Brazil.- RiceAML: An Auto Machine Learning Model to Identify Abiotic Stress-Associated Single Nucleotide Polymorphisms in Rice.- The Application of Machine Learning Algorithms to Predict Heart Disease.- Designing and Evaluating Heterogeneous Ensembles for Blood Glucose Level Forecasting.- Measuring Team Productivity in Agile Development: A Scrum-Based Process.- Generating local rules in Fuzzy Rule-Based Classi cation Systems.- Leveraging Large Language Models for Natural Language Processing based Tasks in the Legal Domain: A Short Survey.- Analysis of Weightlifting Success Predictability Using Machine Learning.- CausalBioCF: Causal Counterfactuals for Machine Learning Interpretability.- A Comparative Analysis of Interpretable Deep Learning Models for Nutrient Analysis in Vulnerable Populations.- A Generative AI based Architecture for Data Seeding in Software Testing.- Name Pattern Recognition: A Model Proposal Applied to the Anonymization of Unstructured Data.- Modular Architecture and Intelligent Routing for Chatbots.- A novel caching framework for e cient time-series analytics.- Named Entity Recognition for Performance and Synthesis Information of Perovskite Solar Cells Using SpaCy.- A Privacy-Preserving Framework for Cross-Institutional Medical Image Analysis Using Vision-Language Models.- An architecture for a reliability tool applied to distributed systems.- Predictive analysis with technical indicators and features selection for futures contracts trading.- Development of a Strategy for Duplication Search based on Multiple Hierarchically Organized Approaches.- Enhancing Stock Market Predictions: The Role of Feature Selection Techniques in Financial Modeling.- DRHRP: A Deep Reinforcement Learning Based Hybrid Routing Protocol for
UAV Enabled Wireless Networks.