Computers and Their Applications 40th International Conference, CATA 2025, San Francisco, CA, USA, March 17–18, 2025, Proceedings /

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 org...

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Korporacja: SpringerLink (Online service)
Kolejni autorzy: Bandi, Ajay (Redaktor), Hossain, Mohammad (Redaktor)
Format: Elektroniczne E-book
Język:angielski
Wydane: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Wydanie:1st ed. 2025.
Seria:Communications in Computer and Information Science, 2435
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Dostęp online:https://doi.org/10.1007/978-3-031-92178-0
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490 1 |a Communications in Computer and Information Science,  |x 1865-0937 ;  |v 2435 
505 0 |a 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. 
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