Books on the topic 'Bio-inspired'
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Bhoi, Akash Kumar, Pradeep Kumar Mallick, Chuan-Ming Liu, and Valentina E. Balas, eds. Bio-inspired Neurocomputing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5495-7.
Full textBruns, Nico, and Andreas F. M. Kilbinger, eds. Bio-inspired Polymers. Royal Society of Chemistry, 2016. http://dx.doi.org/10.1039/9781782626664.
Full textWard, Thomas R., ed. Bio-inspired Catalysts. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-87757-8.
Full textKnecht, Marc R., and Tiffany R. Walsh, eds. Bio-Inspired Nanotechnology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9446-1.
Full textservice), SpringerLink (Online, ed. Bio-inspired Catalysts. Springer Berlin Heidelberg, 2009.
Find full textKriksciuniene, Dalia, Anu Bajaj, and Ajith Abraham, eds. Bio-Inspired Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78937-3.
Full textSakalauskas, Virgilijus, Anu Bajaj, Ajith Abraham, K. Reddy Madhavi, and Pooja Manghirmalani Mishra, eds. Bio-Inspired Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78946-5.
Full textBajaj, Anu, Ajith Abraham, K. Reddy Madhavi, and Dalia Kriksciuniene, eds. Bio-Inspired Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78949-6.
Full textBajaj, Anu, Sreela Sreedhar, and Ajith Abraham, eds. Bio-Inspired Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78943-4.
Full textBajaj, Anu, Ajith Abraham, and Ryotaro Kamimura, eds. Bio-Inspired Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78940-3.
Full textHeepe, Lars, Longjian Xue, and Stanislav N. Gorb, eds. Bio-inspired Structured Adhesives. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59114-8.
Full textPandey, Vimal Chandra, ed. Bio-Inspired Land Remediation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-04931-6.
Full textZiegler, Martin, Thomas Mussenbrock, and Hermann Kohlstedt, eds. Bio-Inspired Information Pathways. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-36705-2.
Full textS, Vijayalakshmi, Gayathri SP, Samiksha Shukla, Parma Nand, and Balamurugan Balusamy. Bio-Inspired Computational Paradigms. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003248545.
Full text1963-, Zhou Yong, ed. Bio-inspired nanomaterials and nanotechnology. Nova Science, 2009.
Find full textZelisko, Paul M., ed. Bio-Inspired Silicon-Based Materials. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9439-8.
Full textPerrett, Sarah, Alexander K. Buell, and Tuomas P. J. Knowles, eds. Biological and Bio-inspired Nanomaterials. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9791-2.
Full textMira, José, and Alberto Prieto, eds. Bio-Inspired Applications of Connectionism. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45723-2.
Full textHuang, De-Shuang, Yong Gan, Prashan Premaratne, and Kyungsook Han, eds. Bio-Inspired Computing and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24553-4.
Full textYu, Lean, Shouyang Wang, Kin Keung Lai, and Ligang Zhou. Bio-Inspired Credit Risk Analysis. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77803-5.
Full textHannestad, Jonas. Fluorescence in Bio-inspired Nanotechnology. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01068-7.
Full textLiò, Pietro, Eiko Yoneki, Jon Crowcroft, and Dinesh C. Verma, eds. Bio-Inspired Computing and Communication. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92191-2.
Full text1963-, Zhou Yong, ed. Bio-inspired nanomaterials and nanotechnology. Nova Science, 2009.
Find full textPan, Linqiang, Shangchen Pang, Tao Song, and Faming Gong, eds. Bio-Inspired Computing: Theories and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1354-8.
Full textSmys, S., João Manuel R. S. Tavares, Robert Bestak, and Fuqian Shi, eds. Computational Vision and Bio-Inspired Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6862-0.
Full textNakano, Tadashi, ed. Bio-Inspired Information and Communications Technologies. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92163-7.
Full textRival, David E. Biological and Bio-Inspired Fluid Dynamics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90271-1.
Full textPan, Linqiang, Zhihua Cui, Jianghui Cai, and Lianghao Li, eds. Bio-Inspired Computing: Theories and Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1253-5.
Full textPan, Linqiang, Zhihua Cui, Jianghui Cai, and Lianghao Li, eds. Bio-Inspired Computing: Theories and Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1256-6.
Full textSmys, S., João Manuel R. S. Tavares, and Valentina Emilia Balas, eds. Computational Vision and Bio-Inspired Computing. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9573-5.
Full textLi, Kang, Minrui Fei, George William Irwin, and Shiwei Ma, eds. Bio-Inspired Computational Intelligence and Applications. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74769-7.
Full textQiao, Jianyong, Xinchao Zhao, Linqiang Pan, et al., eds. Bio-inspired Computing: Theories and Applications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2826-8.
Full textQiao, Jianyong, Xinchao Zhao, Linqiang Pan, et al., eds. Bio-inspired Computing: Theories and Applications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2829-9.
Full textGong, Maoguo, Linqiang Pan, Tao Song, and Gexiang Zhang, eds. Bio-inspired Computing – Theories and Applications. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3611-8.
Full textGong, Maoguo, Linqiang Pan, Tao Song, and Gexiang Zhang, eds. Bio-inspired Computing – Theories and Applications. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3614-9.
Full textHe, Cheng, Hongwei Mo, Linqiang Pan, and Yuxin Zhao, eds. Bio-inspired Computing: Theories and Applications. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7179-9.
Full textBrennan, Anthony B., and Chelsea M. Kirschner, eds. Bio-inspired Materials for Biomedical Engineering. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118843499.
Full textSmys, S., João Manuel R. S. Tavares, Valentina Emilia Balas, and Abdullah M. Iliyasu, eds. Computational Vision and Bio-Inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37218-7.
Full textMira, José, and José R. Álvarez, eds. Bio-inspired Modeling of Cognitive Tasks. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73053-8.
Full textHemanth, D. Jude, and S. Smys, eds. Computational Vision and Bio Inspired Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71767-8.
Full textChen, Yifan, Tadashi Nakano, Lin Lin, Mohammad Upal Mahfuz, and Weisi Guo, eds. Bio-inspired Information and Communication Technologies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57115-3.
Full textPan, Linqiang, Jing Liang, and Boyang Qu, eds. Bio-inspired Computing: Theories and Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3415-7.
Full textPan, Linqiang, Jing Liang, and Boyang Qu, eds. Bio-inspired Computing: Theories and Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3425-6.
Full textGong, Maoguo, Pan Linqiang, Song Tao, Ke Tang, and Xingyi Zhang, eds. Bio-Inspired Computing -- Theories and Applications. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-49014-3.
Full textBalas, Valentina E., Pradeep Kumar Mallick, Akash Kumar Bhoi, and Chuan-Ming Liu. Bio-Inspired Neurocomputing. Springer Singapore Pte. Limited, 2021.
Find full textBezerra, Ulisses Targino, Heber Sivini Ferreira, and Normando Perazzo Barbosa, eds. Bio-Inspired Materials. BENTHAM SCIENCE PUBLISHERS, 2019. http://dx.doi.org/10.2174/97898114068981190601.
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