Bio-inspired Information and Communication Technologies Bio-inspired Information and Communication Technologies

Bio-inspired Information and Communication Technologies

12th EAI International Conference, BICT 2020, Shanghai, China, July 7-8, 2020, Proceedings

    • US$39.99
    • US$39.99

来自出版社的简介

This book constitutes the refereed conference proceedings of the 12th International Conference on Bio-inspired Information and Communications Technologies, held in Shanghai, China, in July 2020. Due to the safety concerns and travel restrictions caused by COVID-19, BICT 2020 took place online in a live stream.


BICT 2020 aims to provide a world-leading and multidisciplinary venue for researchers and practitioners in diverse disciplines that seek the understanding of key principles, processes and mechanisms in biological systems and leverage those understandings to develop novel information and communications technologies (ICT).

The 20 full and 8 short papers were carefully revied and selected from 56 submissions. In addition to the main track targeting broad and mainstream research topics, BICT 2020 includes four special tracks with focused research topics on internet of everything, intelligent internet of things and network applications, intelligent sensor network, and data-driven intelligent modeling, application and optimization.

类型
计算机与互联网
上架日期
2020年
8月10日
语言
EN
英文
长度
349
出版社
Springer International Publishing
销售商
Springer Nature B.V.
大小
58.8
MB
Computational Mathematics, Nanoelectronics, and Astrophysics Computational Mathematics, Nanoelectronics, and Astrophysics
2021年
Advanced Data Acquisition and Intelligent Data Processing Advanced Data Acquisition and Intelligent Data Processing
2022年
Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications
2021年
Futuristic Sustainable Energy & Technology Futuristic Sustainable Energy & Technology
2022年
Chemometric Methods in Analytical Spectroscopy Technology Chemometric Methods in Analytical Spectroscopy Technology
2022年
Deep Learning in Solar Astronomy Deep Learning in Solar Astronomy
2022年