Computers and Their Applications (eBook, PDF)

40th International Conference, CATA 2025, San Francisco, CA, USA, March 17-18, 2025, Proceedings
Redaktion: Bandi, Ajay; Hossain, Mohammad

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 40th International Conference on Computers and Their Applications, CATA 2025, which took place in San Francisco, CA, USA, during March 17-18, 2025.

The 19 papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: Algorithms and AI;M machine learning and data mining; and security and networking.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 252
• Erscheinungstermin: 25. Juni 2025
• Englisch
• ISBN-13: 9783031921780
• Artikelnr.: 74732547

Inhaltsangabe

ALGORITHMS AND AI.- Improving the Performance of 3D Printed Molds for Injection Molding using Hollow Structures.- AI-aided documentation of urban graffiti using NeRF and Gaussian Splatting.- Measurement and Characterization of Problems with Public API Support: A Case Study on YouTube APIs.- Conversational AI in Healthcare: A Framework for Privacy, Security, Ethics, Transparency and Harm Prevention.- Chain Table: Protecting Table-Level Data Integrity by Digital Ledger Technology.- Sentiment, Volume, and Topics in University Tweets: Methodology, Insights, and Challenges.- Automated Test Case Generation for Software Testing Using Generative AI.- Ensemble Machine Learning Approach to Phishing Website Detection.- Human Activity Recognition using an Ensemble Learning Approach.- Comparison of Some Pseudorandom Binary Generators Based on Combinatorial Functions.- Design Process of a New Pseudorandom Binary Generator Model.- MACHINE LEARNING AND DATA MINING.- Machine Learning for Real World Water Consumption Forecasting.- Comparative Analysis of Machine Learning Classifiers for Yellow Fever Diagnosis Using Causative Data: Evaluating Naïve Bayes, KNN, RIPPER, and PART.- An Automated Framework of Ontology Generation for Abstract Concepts using LLMs.- Using Machine Learning Techniques to Detect Network Intrusions.- SECURITY AND NETWORKING.- A Novel Feature Selection Method for Classification Against Email Phishing.- Reputation Proof with Load Services in Ad-hoc Peer-to-Peer Networks.- Scalable Automated Vulnerability Inspection Framework Using Nmap for CVE Detection in Distributed Remote Networks.- Clustering of Processing-Induced Martensitic Phases Using AC-GAN and Magnetic Susceptibility Evaluation in High-Gradient Fields.