-------- Forwarded Message -------- Subject: [AISWorld] Connection Science, most recent issue published (Vol. 32, Issue 2, 2020) Date: Mon, 8 Jun 2020 08:57:16 +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 an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modeling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, 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 welcome. The journal also encourages submission of research in systems-level computational subjects that seek to understand models in science and engineering.
Connection Science is indexed by SCI/SCIE (Clarivate Analytics), EI Compendex, INSPEC, SCOPUS, CrossRef, DBLP, and several others.
Please submit your high-quality manuscripts for publication consideration in Connection Science.
---------- Vol. 32, Issue 2, 2020 ----------
CNN-based salient features in HSI image semantic target prediction Vishal Srivastava & Bhaskar Biswas https://doi.org/10.1080/09540091.2019.1650330
An improved water wave optimisation algorithm enhanced by CMA-ES and opposition-based learning Fuqing Zhao, Lixin Zhang, Yi Zhang, Weimin Ma, Chuck Zhang & Houbin Song https://doi.org/10.1080/09540091.2019.1674247
Hand segmentation pipeline from depth map: an integrated approach of histogram threshold selection and shallow CNN classification Zhengze Xu & Wenjun Zhang https://doi.org/10.1080/09540091.2019.1670621
Improving collective interpretation by extended potentiality assimilation for multi-layered neural networks Ryotaro Kamimura & Haruhiko Takeuchi https://doi.org/10.1080/09540091.2019.1674245
Sexbots: a case for artificial ethical agents Christopher James Headleand, William J. Teahan & Llyr ap Cenydd https://doi.org/10.1080/09540091.2019.1640185
The Editorial Office Connection Science https://www.tandfonline.com/ccos20 journaleditorialmanager@outlook.com
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