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Logical foundations of computer science [Documento eletrónico] : international symposium, lfcs 2020, deerfield beach, fl, usa, january 4-7, 2020, proceedings / edited by Sergei Artemov, Anil NerodePublication: Cham : Springer International Publishing : Springer, 2020Description: X, 287 p. :
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Modeling and optimization in space engineering [Documento eletrónico] : new concepts and approaches / edited by Giorgio Fasano, János D. PintérPublication: Cham : Springer International Publishing : Springer, 2023Description: XIV, 399 p. :
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Modern survey analysis [Documento eletrónico] : using python for deeper insights / by Walter R. PaczkowskiPublication: Cham : Springer International Publishing : Springer, 2022Description: XXVI, 347 p. :
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Architectural and urban subsymmetries [Documento eletrónico] / by Jin-Ho ParkPublication: Cham : Springer International Publishing : Birkhäuser, 2022Description: XIV, 266 p. :
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Modern statistics [Documento eletrónico] : a computer-based approach with python / by Ron S. Kenett, Shelemyahu Zacks, Peter GedeckPublication: Cham : Springer International Publishing : Birkhäuser, 2022Description: XXIII, 438 p. :
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Dna computing based genetic algorithm [Documento eletrónico] : applications in industrial process modeling and control / by Jili Tao, Ridong Zhang, Yong ZhuPublication: Singapore : Springer Nature Singapore : Springer, 2020Description: IX, 274 p. :
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Neural networks and statistical learning [Documento eletrónico] / by Ke-Lin Du, M. N. S. SwamyPublication: London : Springer London : Springer, 2019Description: XXX, 988 p. :
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Domain adaptation in computer vision with deep learning [Documento eletrónico] / edited by Hemanth Venkateswara, Sethuraman PanchanathanPublication: Cham : Springer International Publishing, 2020Description: XI, 256 p. :
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The future of music [Documento eletrónico] : towards a computational musical theory of everything / by Guerino Mazzola ... [et al.]Publication: Cham : Springer International Publishing, 2020Description: XV, 242 p. :
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Computational diffusion mri [Documento eletrónico] : miccai workshop, shenzhen, china, october 2019 / edited by Elisenda Bonet-Carne ... [et al.]Publication: Cham : Springer International Publishing : Springer, 2020Description: XI, 210 p. :
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Optimization and applications [Documento eletrónico] : 11th international conference, optima 2020, moscow, russia, september 28 - october 2, 2020, proceedings / edited by Nicholas Olenev ... [et al.]Publication: Cham : Springer International Publishing, 2020Description: XIV, 331 p. :
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Advances and innovations in statistics and data science [Documento eletrónico] / edited by Wenqing He ... [et al.]Publication: Cham : Springer International Publishing : Springer, 2022Description: XVII, 332 p. :
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Modeling of archaeomagnetic anomaly maps [Documento eletrónico] / by Hazel Deniz ToktayPublication: Singapore : Springer Nature Singapore : Springer, 2022Description: XII, 104 p. :
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The history of water management in the iberian peninsula [Documento eletrónico] : between the 16th and 19th centuries / edited by Ana Duarte Rodrigues, Carmen Toribio MarínPublication: Cham : Springer International Publishing : Birkhäuser, 2020Description: XIV, 384 p. :
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Symmetry [Documento eletrónico] : a mathematical exploration / by Kristopher TappPublication: Cham : Springer International Publishing : Springer, 2021Description: XII, 259 p. :
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Pythagorean fuzzy sets [Documento eletrónico] : theory and applications / edited by Harish GargPublication: Singapore : Springer Nature Singapore : Springer, 2021Description: XI, 442 p. :
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Artificial intelligence, big data and data science in statistics [Documento eletrónico] : challenges and solutions in environmetrics, the natural sciences and technology / edited by Ansgar Steland, Kwok-Leung TsuiPublication: Cham : Springer International Publishing : Springer, 2022Description: VIII, 376 p. :
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Data analytics and artificial intelligence for inventory and supply chain management [Documento eletrónico] / edited by Dinesh K. Sharma, Madhu JainPublication: Singapore : Springer Nature Singapore : Springer, 2022Description: XX, 284 p. :
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Statistical inference and machine learning for big data [Documento eletrónico] / by Mayer AlvoPublication: Cham : Springer International Publishing : Springer, 2022Description: XXIV, 431 p. :
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An introduction to statistics with python [Documento eletrónico] : with applications in the life sciences / by Thomas HaslwanterPublication: Cham : Springer International Publishing : Springer, 2022Description: XVI, 336 p. :
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