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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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Korporativní autor: SpringerLink (Online service)
Další autoři: Bandi, Ajay (Editor), Hossain, Mohammad (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Communications in Computer and Information Science, 2435
Témata:
Data protection.
Software engineering.
Application software.
Artificial intelligence.
Data and Information Security.
Software Engineering.
Computer and Information Systems Applications.
Artificial Intelligence.
On-line přístup:https://doi.org/10.1007/978-3-031-92178-0
Tagy: Přidat tag
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Obsah:
  • 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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