-------- 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
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