Computational Science and Technology

7th ICCST 2020, Pattaya, Thailand, 29-30 August, 2020
1. Auflage 2021
ISBN: 978-981-334-071-8
Verlag: Springer Nature Singapore

Buch, Englisch, Band 724, 585 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1005 g

Reihe: Lecture Notes in Electrical Engineering

This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology 2020 (ICCST 2020), held in Pattaya, Thailand, on 29–30 August 2020. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.

Zielgruppe

Research

Autoren/Hrsg.

Alfred, Rayner

Anthony, Patricia

Iida, Hiroyuki

Haviluddin, Haviluddin

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Building a Knowledge Graph of Vietnam Tourism from Text.- Technology Adoption Models: Users’ Online Social Media Behavior Towards Visual Information.- A Pedagogical Framework with Integration of TPACK for Mobile Interactive System in Teaching Mathematics.- Towards Palm Bunch Ripeness Classification using Colour and Canny Edge Detection.- Attention Models for Sentiment Analysis using Objectivity and Subjectivity Word Vectors.- A Question-Answering System that Can Count.- Contactless Patient Authentication for Registration Using Face Recognition Technology.- Drawing and Recognising Simple Shapes with Real-Time Feedback Using Pattern Recognition.- Information Technology Students' Preferences on Blended Learning.- Improved Facial Recognition Algorithms based on Dragonfly and Grasshopper Optimization.