Name: Context-Aware Systems and Applications
Price: 451.91 RON
Availability: OnlineOnly
Author: Phan Cong Vinh
ISBN: 9783031588778

Context-Aware Systems and Applications: 12th EAI International Conference, ICCASA 2023, Ho Chi Minh City, Vietnam, October 26-27, 2023, Proceedings: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 579

Phan Cong Vinh

Nguyen Thanh Tung

en Limba Engleză Paperback – 13 sep 2024

This book constitutes the refereed post-conference proceedings of the International Conference on Context-Aware Systems and Applications, ICCASA 2023, held in Ho Chi Minh City, Vietnam, in October 2023. The 14 revised full papers presented were carefully selected from 36 submissions. The papers cover a wide spectrum of modern approaches and techniques for smart computing systems and their applications.

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Cuprins

Context-aware systems.- Opinion Mining with Manifold Forests.- Systematic Review of Smart Robotic Manufacturing in the Context of Industry 4.0.- User-based collaborative filtering multi-criteria recommender system based on interaction between criteria, criteria set with Choquet integral.- Application of machine learning techniques to classify intention to pay for forest ecosystem services.- Anomaly Detection in Univariate Time Series: HOT SAX vesus LSTM-based Method.- Context-aware technologies.- Application of machine learning models for predicting glucose-level in the pure fluid with algorithm for reducing data dimension based on data series extraction: A report.- Comprehensive Survey On Remote Sensing Image Processing Techniques For Image Classification.- Item-based Energy Clustering Recommendation.- General Evaluation of EtherCAT-based Techniques in Various Industrial Systems: Review and Applications.- Towards an IoT-based Unmanned Surface Vehicle Design for Environment Monitoringin Mekong Delta.- 3D CNN with BERT and Vision Transformer for Video Recognition.- Identify tumors on lung CT images.- A Context-Aware Application to Monitor the Air Quality.- Applying Guided Discovery Learning to Enhance the Achievement of Information Technology Team.