-------- Forwarded Message --------
Subject: [AISWorld] Connection Science, most recent issue published (Vol. 31, Issue 4, 2019)
Date: Sat, 11 Jan 2020 09:41:07 +0000
From: Editorial Manager <journaleditorialmanager@outlook.com>
To: aisworld@lists.aisnet.org <aisworld@lists.aisnet.org>



Dear Colleagues and Friends,

We would like to bring to your attention to the recently published papers in the latest issue of Connection Science.
WEB: https://www.tandfonline.com/toc/ccos20/current

Connection Science is a leading inter-disciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modeling, artificial intelligence, machine learning, deep learning, Big Data, quantum computing, Blockchain, Zero-Knowledge Proofs, Internet of Things, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in all aspects of Computer Science, and applied applications are particularly relevant and welcome. The journal also encourages submission of research in systems-level computational subjects that seeks to understand models in science and engineering.

Connection Science is indexed by SCI, SCIE /Clarivate Analytics, EI Compendex, INSPEC, SCOPUS, CrossRef, DBLP, and 10+ others.

Please submit your high-quality manuscripts for publication consideration in Connection Science.


Connection Science, Vol. 31, Issue 4, 2019
Title and author(s)
Fuzzy kernel feature selection with multi-objective differential evolution algorithm
Emrah Hancer
pages 323-341
DOI: 10.1080/09540091.2019.1639624

Solving optimal control problems of the time-delayed systems by a neural network framework
pages 342-372
DOI: 10.1080/09540091.2019.1604627

Event-triggered H∞ anti-synchronisation for delayed neural networks with discontinuous neuron activations via non-fragile control strategy
Min Liu, Huaiqin Wu, Jinde Cao, Yanning Wang
pages 373-429
DOI: 10.1080/09540091.2019.1604628

Exploring the usability of the text-based CAPTCHA on tablet computers
Darko Brodić and Alessia Amelio
pages 430-444
DOI: 10.1080/09540091.2019.1609417

-----
The Editorial Office
Connection Science
https://www.tandfonline.com/ccos20
journaleditorialmanager@outlook.com

_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org