Context-Aware Systems and Applications

Nyhet

13th EAI International Conference, ICCASA 2024, Dalat City, Vietnam, October 15–16, 2024, Proceedings

Häftad, Engelska, 2026

Av Phan Cong Vinh, Nguyen Thanh Tung, Abdur Rakib

1 379 kr

Kommande

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.

Produktinformation

Utgivningsdatum2026-02-20
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor155
FörlagSpringer Nature Switzerland AG
ISBN9783032129406

Tillhör följande kategorier

Hårdvara inom Data och it
Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Människa – datorinteraktion inom Data och it

.- 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).