Huk / Maleszka / Szczerbicki Intelligent Information and Database Systems: Recent Developments

Erscheinungsjahr 2019
ISBN: 978-3-030-14132-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 830, 438 Seiten, eBook

Reihe: Studies in Computational Intelligence

This book presents research reports selected to indicate the state of the art in intelligent and database systems and to promote new research in this field. It includes 34 chapters based on original research presented as posters at the 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2019), held in Yogyakarta, Indonesia on 8–11 April 2019.The increasing use of intelligent and database systems in various fields, such as industry, medicine and science places those two elements of computer science among the most important directions of research and application, which currently focuses on such key technologies as machine learning, cloud computing and processing of big data. It is estimated that further development of intelligent systems and the ability to gather, store and process enormous amounts of data will be needed to solve a number of crucial practical and theoretical problems.The book is divided into five parts: (a) Sensor Clouds andInternet of Things, (b) Machine Learning and Decision Support Systems, (c) Computer Vision Techniques and Applications, (d) Intelligent Systems in Biomedicine, and (e) Applications of Intelligent Information Systems. It is a valuable resource for researchers and practitioners interested in increasing the synergy between artificial intelligence and database technologies, as well as for graduate and Ph.D. students in computer science and related fields.

Zielgruppe

Research

Autoren/Hrsg.

Huk, Maciej

Maleszka, Marcin

Szczerbicki, Edward

Inhaltsverzeichnis

Preface.- Part I: Sensor Clouds and Internet of Things.- Chapter 1. Proposing Smart Disaster Management in Urban Area.- Chapter 2. Ubiquitous rehabilitation combining inertial measurement unit with smartphone and supported by visual and voice feedback.- Chapter 3. Decision Making Based on IoT Data Collection for Precision Agriculture.- Chapter 4. Meeting Smart City Latency Demands with SDN, etc.