** First Call for Papers - please circulate this CFP to your colleagues and networks **

-- 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) --

http://www.mirlabs.org/socpar21
http://www.mirlabs.net/socpar21

On the World Wide Web

December 15-17,2021

Proceedings of SoCPaR'21 will be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. (https://www.springer.com/series/15179)
Indexed by: SCOPUS, DBLP, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SpringerLink
 
History of SoCPaR series: http://www.mirlabs.net/socpar20/previous.php

**Important Dates**
---------------------
Paper submission due: September 30, 2021
Notification of paper acceptance: October 31, 2021
Registration and Final manuscript due: November 15, 2021
Conference: December 15-17, 2020

**About SoCPaR 2021**
---------------------
After the success of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), SoCPaR 2021 is organized to bring together worldwide leading researchers and practitioners interested in advancing the state-of-the-art in Soft Computing and Pattern Recognition, for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. It is hoped that researchers and practitioners will bring new prospects for collaboration across disciplines and gain inspiration to facilitate novel breakthroughs. The themes for this conference are thus focused on "Innovating and Inspiring Soft Computing and Intelligent Pattern Recognition".

**Topics (not limited to)**
---------------------------
Soft Computing and Applications (but not limited to):
Evolutionary computing
Swarm intelligence
Artificial immune systems
Fuzzy Sets
Uncertainty analysis
Fractals
Rough Sets
Support vector machines
Artificial neural networks
Case Based Reasoning
Wavelets
Hybrid intelligent systems
Nature inspired computing techniques
Machine learning
Ambient intelligence
Hardware implementations

Pattern Recognition and Applications (but not limited to):
Information retrieval
Data Mining
Web Mining
Image Processing
Computer Vision
Bio-informatics
Information security
Network security
Steganography
Biometry
Remote sensing
Medical Informatics
E-commerce
Signal Processing
Control systems

**Submission Guidelines**
-------------------------
Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript.

Paper format templates:
https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324

SoCPaR’21 Submission Link:
https://easychair.org/conferences/?conf=socpar2021

** SoCPaR 2021 Organization **
------------------------------
General Chairs
Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA
Andries Engelbrecht, Stellenbosch University, South Africa
Fabio Scotti,  Universita' degli Studi di Milano, Italy

Program Chairs
Giancarlo Fortino, Università della Calabria, Italy
Virgilijus Sakalauskas, Vilnius University, Lithuania
Sabri Pllana, Linnaeus University, Sweden

**Technical Contact**
---------------------
Dr. Ajith Abraham
Email: [log in to unmask]


Publicity Team SoCPaR 2021
 
Thanks & Regards
Anu Bajaj, PhD (Computer Science and Engineering)

Editorial Assistant: Engineering Applications of Artificial Intelligence, Elsevier

Research Associate: Machine Intelligence Research Labs (MIR Labs)

Scientific Network for Innovation and Research Excellence
11, 3rd Street NW
P.O. Box 2259
Auburn, Washington 98071, USA
http://www.mirlabs.org

Email: [log in to unmask], [log in to unmask]

ORCID: https://orcid.org/0000-0001-8563-6611

LinkedIn: https://www.linkedin.com/in/anu-bajaj/

Publons: https://publons.com/researcher/2918012/anu-bajaj/

Research Gate: https://www.researchgate.net/profile/Anu-Bajaj

Scopus: https://www.scopus.com/authid/detail.uri?authorId=56825307900

Google Scholar: https://scholar.google.com/citations?user=En_N0VoAAAAJ&hl=en


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