Context-Aware Systems and Applications

13th EAI International Conference, ICCASA 2024, Dalat City, Vietnam, October 15-16, 2024, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-12940-6
Verlag: Springer

Buch, Englisch, 141 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 242 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the refereed post proceedings of 13th EAI International Conference on Context-Aware Systems and Applications, ICCASA 2024, held in Dalat City, Vietnam, during October 15–16, 2024.

The 9 full papers presented in this volume were carefully reviewed and selected from 26 submissions. The papers cover a wide spectrum of modern approaches and techniques for smart computing systems and their applications.

Zielgruppe

Research

Autoren/Hrsg.

Cong Vinh, Phan

Thanh Tung, Nguyen

Rakib, Abdur

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Angewandte Informatik

Inhaltsverzeichnis

.- Toward Modeling Linguistic Fuzzy Network Flow Based on Hedge Algebra.

.- Application of Statistics in Geography to Construct Earthquake Risk Zoning Maps: A Case study in Kon Tum Province, Vietnam.

.- Prediction of the change of human blood glucose from Raman scattering by polynomial data preprocess method.

.- Relationship Between RTL Automata (ASARTL) and Looping Algorithm Specification (ASASPEC) Based on Algebraic Semantics in Synthesis of Stream Calculus-Based Computing Big Data in Livestream.

.- From Pixels to Graphs: Evaluating Deep Learning Architectures for Advanced Image Classification Tasks.

.- Enhancing Industrial And Security Applications Through AI-Integrated Iot Systems: Design And Implementation.

.- Towards Modeling Linguistic Fuzzy Neural Units Based on Hedge Algebra.

.- Detecting ships and boats on satellite images with machine learning approach.

.- Correlation Distance t-Test Collaborative Filtering Recommendation (t-TestCF).