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Filtros : "Lecture Notes in Computer Science" "ROBÓTICA" Removido: "REDES NEURAIS" Limpar

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  • Trabalho de evento-anais periodico

    High performance algorithms for counting collisions and pairwise interactions (2019)

    Saldanha, Matheus Henrique Junqueira; Souza, Paulo Sérgio Lopes de

    Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC

    Subjects: ALGORITMOS ÚTEIS E ESPECÍFICOS, COMPUTAÇÃO GRÁFICA, BENCHMARKS, ROBÓTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      SALDANHA, Matheus Henrique Junqueira e SOUZA, Paulo Sérgio Lopes de. High performance algorithms for counting collisions and pairwise interactions. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22734-0_14. Acesso em: 06 jul. 2025. , 2019

    • APA

      Saldanha, M. H. J., & Souza, P. S. L. de. (2019). High performance algorithms for counting collisions and pairwise interactions. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22734-0_14

    • NLM

      Saldanha MHJ, Souza PSL de. High performance algorithms for counting collisions and pairwise interactions [Internet]. Lecture Notes in Computer Science. 2019 ; 11536 182-196.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-22734-0_14

    • Vancouver

      Saldanha MHJ, Souza PSL de. High performance algorithms for counting collisions and pairwise interactions [Internet]. Lecture Notes in Computer Science. 2019 ; 11536 182-196.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-22734-0_14

  • Trabalho de evento-anais periodico

    A multi-objective evolutionary approach for phylogenetic inference (2007)

    Cancino, Waldo; Delbem, Alexandre Cláudio Botazzo

    Source: Lecture Notes in Computer Science. Conference titles: International Conference - EMO. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

    Acesso à fonteHow to cite
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    • ABNT

      CANCINO, Waldo e DELBEM, Alexandre Cláudio Botazzo. A multi-objective evolutionary approach for phylogenetic inference. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Disponível em: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994. Acesso em: 06 jul. 2025. , 2007

    • APA

      Cancino, W., & Delbem, A. C. B. (2007). A multi-objective evolutionary approach for phylogenetic inference. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Recuperado de http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994

    • NLM

      Cancino W, Delbem ACB. A multi-objective evolutionary approach for phylogenetic inference [Internet]. Lecture Notes in Computer Science. 2007 ; 4403 428-442.[citado 2025 jul. 06 ] Available from: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994

    • Vancouver

      Cancino W, Delbem ACB. A multi-objective evolutionary approach for phylogenetic inference [Internet]. Lecture Notes in Computer Science. 2007 ; 4403 428-442.[citado 2025 jul. 06 ] Available from: http://www.springerlink.com/content/r553m7157789/?p=e28a217f28ca4dbea31ccee7ee5b9fa4&pi=994
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