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Found 3,039 Documents (Results 1–100)

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Intelligent Biomedical Data Analysis 4. Berlin: De Gruyter (ISBN 978-3-11-067606-8/hbk; 978-3-11-067611-2/ebook). xiii, 153 p. (2021).
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SpringerBriefs in Computational Intelligence. Cham: Springer (ISBN 978-3-030-62132-2/pbk; 978-3-030-62133-9/ebook). vii, 61 p. (2021).
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Algorithms for Intelligent Systems. Singapore: Springer (ISBN 978-981-334-190-6/hbk; 978-981-334-191-3/ebook). xii, 248 p. (2021).
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J. Math. Sci., New York 252, No. 1, 65-71 (2021); translation from Itogi Nauki Tekh., Ser. Sovrem. Mat. Prilozh., Temat. Obz. 151, 67-72 (2018).
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Dey, Nilanjan (ed.) et al., Applied nature-inspired computing: algorithms and case studies. Singapore: Springer (ISBN 978-981-13-9262-7/hbk; 978-981-13-9265-8/pbk; 978-981-13-9263-4/ebook). Springer Tracts in Nature-Inspired Computing, 253-275 (2020).
MSC:  92E20 68T05 90C59
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Springer Tracts in Nature-Inspired Computing. Singapore: Springer (ISBN 978-981-15-0305-4/hbk; 978-981-15-0308-5/pbk; 978-981-15-0306-1/ebook). xiii, 266 p. (2020).
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Farouk, Mohamed Hesham (ed.) et al., Recent advances in engineering math and physics. Proceedings of the international conference, RAEMP 2019, Cairo, Egypt, December 24–26, 2019. Cham: Springer. 183-190 (2020).
MSC:  78A50 78A40 68T05
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Cybern. Syst. Anal. 56, No. 2, 231-242 (2020); translation from Kibern. Sist. Anal. 2020, No. 2, 75-88 (2020).
MSC:  68T 68W 68 90C 90
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Sergeyev, Yaroslav D. (ed.) et al., Numerical computations: theory and algorithms. Third international conference, NUMTA 2019, Crotone, Italy, June 15–21, 2019. Revised selected papers. Part II. Cham: Springer (ISBN 978-3-030-40615-8/pbk; 978-3-030-40616-5/ebook). Lecture Notes in Computer Science 11974, 182-194 (2020).
MSC:  65
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Pan, Linqiang (ed.) et al., Bio-inspired computing: theories and applications. 14th international conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019. Revised selected papers. Part I. Singapore: Springer (ISBN 978-981-15-3424-9/pbk; 978-981-15-3425-6/ebook). Communications in Computer and Information Science 1159, 682-688 (2020).
MSC:  68Q07
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Cham: Springer (ISBN 978-3-030-47438-6/hbk; 978-3-030-47439-3/ebook). xxviii, 1225 p. (2020).
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Lirkov, Ivan (ed.) et al., Large-scale scientific computing. 12th international conference, LSSC 2019, Sozopol, Bulgaria, June 10–14, 2019. Revised selected papers. Cham: Springer. Lect. Notes Comput. Sci. 11958, 493-500 (2020).
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Bennis, Fouad (ed.) et al., Nature-inspired methods for metaheuristics optimization. Algorithms and applications in science and engineering. Cham: Springer. Model. Optim. Sci. Technol. 16, 323-334 (2020).
MSC:  90C59 90C26 90C90
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Bennis, Fouad (ed.) et al., Nature-inspired methods for metaheuristics optimization. Algorithms and applications in science and engineering. Cham: Springer. Model. Optim. Sci. Technol. 16, 35-51 (2020).
MSC:  90C59
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Bennis, Fouad (ed.) et al., Nature-inspired methods for metaheuristics optimization. Algorithms and applications in science and engineering. Cham: Springer. Model. Optim. Sci. Technol. 16, 3-25 (2020).
MSC:  90C59
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Natural Computing Series. Cham: Springer (ISBN 978-3-030-29413-7/hbk; 978-3-030-29414-4/ebook). xii, 518 p. (2020).
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Amsterdam: Elsevier (ISBN 978-0-12-817392-3/pbk; 978-0-12-817393-0/ebook). xx, 289 p. (2020).
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