A Special Issue on Bio-Inspired Computing (BIC-TA 2008)

被引：0
|
作者：
Kearney, David [1 ]
Nguyen, Van [1 ]
Gioiosa, Gianpaolo [1 ]
机构：
[1] Univ S Australia, Sch Comp & Informat Sci, Adelaide, SA 5001, Australia
来源：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE | 2010年 / 7卷 / 05期
关键词：
D O I：
10.1166/jctn.2010.1423
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
引用
收藏
页码：803 / 805
页数：3
相关论文
共 50 条
  • [11] Special issue on life system modeling and bio-inspired computing for LSMS 2007
    Huang, Sunan
    He, Haibo
    Li, Kang
    APPLIED MATHEMATICS AND COMPUTATION, 2008, 205 (01) : 3 - 5
  • [12] Special Issue: Bio-Inspired Optimization Techniques for High Performance Computing Preface
    Folino, Gianluigi
    Mastroianni, Carlo
    NEW GENERATION COMPUTING, 2011, 29 (02) : 125 - 128
  • [13] Editorial for special issue on bio-inspired geotechnics
    Alejandro Martinez
    Junliang Tao
    Acta Geotechnica, 2024, 19 : 1137 - 1138
  • [14] Special Issue on Advances in Bio-Inspired Robots
    Seo, TaeWon
    Yun, Dongwon
    Jung, Gwang-Pil
    APPLIED SCIENCES-BASEL, 2021, 11 (18):
  • [15] Special Issue on Bio-inspired Vision Systems
    Michael Zillich
    Norbert Krüger
    KI - Künstliche Intelligenz, 2015, 29 (1) : 5 - 7
  • [16] Special Issue of Bio-inspired Material Chemistry
    Wu, Yuchen
    Xia, Fan
    Wang, Shutao
    CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2023, 39 (01) : 1 - 2
  • [17] Special Issue on Bio-inspired Vision Systems
    Zillich, Michael
    Kruger, Norbert
    KUNSTLICHE INTELLIGENZ, 2015, 29 (01): : 5 - 7
  • [18] Special Issue of Bio-inspired Material Chemistry
    Yuchen Wu
    Fan Xia
    Shutao Wang
    Chemical Research in Chinese Universities, 2023, 39 : 1 - 2
  • [19] Editorial for special issue on bio-inspired geotechnics
    Martinez, Alejandro
    Tao, Junliang
    ACTA GEOTECHNICA, 2024, 19 (03) : 1137 - 1138
  • [20] Special issue: Bio-inspired algorithms and Bio-systems
    Cuevas, Erik
    Oliva, Diego
    Osuna, Valentin
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2020, 17 (03) : 2400 - 2401
12345