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Bio-inspired information and communications technologies : 13th EAI International Conference, BICT 2021, Virtual event, September 1-2, 2021, Proceedings / Tadashi Nakano (ed.).

BICT (Conference) (13th : 2021 : Online); Nakano, Tadashi (College teacher), editor.
2021
QA76.9.N37
Available Online
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Title
Bio-inspired information and communications technologies : 13th EAI International Conference, BICT 2021, Virtual event, September 1-2, 2021, Proceedings / Tadashi Nakano (ed.).
Meeting Name
BICT (Conference) (13th : 2021 : Online)
ISBN
9783030921637 (electronic bk.)
3030921638 (electronic bk.)
9783030921620 (print)
303092162X
DOI
https://doi.org/10.1007/978-3-030-92163-7
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (xi, 269 pages) : illustrations.
Item Number
10.1007/978-3-030-92163-7 doi
Call Number
QA76.9.N37
Dewey Decimal Classification
006.3/8
Summary
This book constitutes the refereed conference proceedings of the 13th International Conference on Bio-inspired Information and Communications Technologies, held in September 2021. Due to the safety concerns and travel restrictions caused by COVID-19, BICT 2021 took place online in a live stream. BICT 2021 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 2 short papers were carefully reviewed and selected from 47 submissions. The papers are organized thematically in tracks as follows: Bio-inspired network systems and applications; Bio-inspired information and communication; mathematical modelling and simulations of biological systems.
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Includes author index.
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text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 14, 2021).
Added Author
Nakano, Tadashi (College teacher), editor.
Series
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 403.
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All Resources
Bio-inspired network systems and applications
; Bio-inspired information and communication
; mathematical modelling and simulations of biological systems.
Multi-objective Optimization Deployment algorithm for 5G ultra-dense networks
An Efficient Cost Performance Placement of Macro Sites and Small Cells under Restricted Topology
Establishing an Integrated Push Notification System with Information Security Mechanism.

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