國立虎尾科技大學 |

Computational Science and Technology = 7th ICCST 2020, Pattaya, Thailand, 29–30 August, 2020 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Science and Technology/ edited by Rayner Alfred, Hiroyuki Iida, Haviluddin Haviluddin, Patricia Anthony.
其他題名:	7th ICCST 2020, Pattaya, Thailand, 29–30 August, 2020 /
其他作者:	Anthony, Patricia.
面頁冊數:	XIII, 585 p. 221 illus., 146 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	https://doi.org/10.1007/978-981-33-4069-5
ISBN:	9789813340695

Computational Science and Technology = 7th ICCST 2020, Pattaya, Thailand, 29–30 August, 2020 /
Computational Science and Technology7th ICCST 2020, Pattaya, Thailand, 29–30 August, 2020 /[electronic resource] :edited by Rayner Alfred, Hiroyuki Iida, Haviluddin Haviluddin, Patricia Anthony. - 1st ed. 2021. - XIII, 585 p. 221 illus., 146 illus. in color.online resource. - Lecture Notes in Electrical Engineering,7241876-1119 ;. - Lecture Notes in Electrical Engineering,317.

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.

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.

ISBN: 9789813340695

Standard No.: 10.1007/978-981-33-4069-5doiSubjects--Topical Terms:

1017136
Big Data.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Computational Science and Technology = 7th ICCST 2020, Pattaya, Thailand, 29–30 August, 2020 /
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