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Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio;
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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image;
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computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms;
Vergelijkbare producten zoals Applications of Evolutionary Computation
in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and;
Vergelijkbare producten zoals Applications of Evolutionary Computation
in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and;
Vergelijkbare producten zoals Applications of Evolutionary Computation
computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal;
Vergelijkbare producten zoals Applications of Evolutionary Computation
computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal;
Vergelijkbare producten zoals Applications of Evolutionary Computation
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as;
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This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS;
Vergelijkbare producten zoals Computational Vision and Bio Inspired Computing
This volume constitutes the revised selected papers of the 15th International Conference on Bio-inspired Computing: Theories and;
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This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing;
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pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application;
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This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing;
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Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and;
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, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine;
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papers. The conference CiE 2018 has six special sessions, namely: Approximation and optimization, Bioinformatics and bio-inspired computing;
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bio-inspired circuits and mechanisms, bioinspired programming strategies and bioinspired engineering AI&KE.;
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bio-inspired circuits and mechanisms, bioinspired programming strategies, and bioinspired engineering AI&KE.;
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Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms;
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The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for;
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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired;
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This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020;
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Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the;
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swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation;
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. They are organized in the following topical sections: data mining, knowledge discovery and big data; bio-inspired models and evolutionary;
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Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and;
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in topical sections such as data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning;
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