Computational Science and Its Applications – ICCSA 2025

25th International Conference, Istanbul, Turkey, June 30–July 3, 2025, Proceedings, Part II

AvOsvaldo Gervasi,Beniamino Murgante

Häftad, Engelska, 2025

Del 15649 i serien Lecture Notes in Computer Science

876 kr

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Beskrivning

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 30–July 3, 2025.

Produktinformation

Utgivningsdatum:2025-06-28
Mått:155 x 235 x 25 mm
Vikt:674 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:414
Förlag:Springer International Publishing AG
ISBN:9783031969966
Originaltitel:Computational Science and Its Applications – ICCSA 2025

Utforska kategorier

Innehållsförteckning

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 forUAV Enabled Wireless Networks.

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