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NaBIC 2021 : 13th World Congress on Nature and Biologically Inspired ComputingConference Series : Nature and Biologically Inspired Computing | |||||||||||||||
Link: https://www.mirlabs.net/nabic21/ | |||||||||||||||
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Call For Papers | |||||||||||||||
The 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021) brings together international researchers, developers, practitioners, and users. The aim of NaBIC is to serve as a forum to present current and future work as well as to exchange research ideas in this field. NaBIC 2021 invites authors to submit their original and unpublished work that demonstrates current research in all areas of Nature and Biologically Inspired Computing, as well as proposals for workshops, industrial presentations, demonstrations, and tutorials.
The papers should be organized so as to accommodate abstract, introduction, state-of-the-art, objective, used methodology, obtained results and references. Submitted papers should be original and contain contributions of theoretical, experimental or application nature, or be unique experience reports. Proceedings will be published by Springer in the Lecture Notes in Networks and Systems", which is currently indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago and are submitted for consideration in Web of Science. Series URL: https://www.springer.com/series/15179 Paper preparation templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324 Papers maximum length is 10 pages. - Papers must be formatted according to Springer format. The papers are solicited in the following (but not limited) Areas: Industrial Applications Information Retrieval Robotics Fault Diagnosis Bioinformatics Web Intelligence Speech Processing Business Information Systems Knowledge Management Evolvable Hardware Image and Signal Processing Pattern Recognition Traffic and Transportation System Decision Analysis Data Mining Computer Vision Information and Communication Technology Control System Artificial Neural Networks Biodegradability Prediction Cellular Automata Evolutionary Algorithms Swarm Intelligence Emergent Systems Artificial Life Lindenmayer Systems Digital Organisms Artificial Immune Systems Membrane Computing Simulated Annealing Communication Networks and Protocols Computing with Words Common Sense Computing Cognitive Modeling and Architecture Connectionism Metaheuristics Hybrid Approaches Quantum Computing Nano Computing |
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