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Titlebook: Recruitment Learning; Joachim Diederich,Cengiz Günay,James M. Hogan Book 2011 Springer-Verlag Berlin Heidelberg 2011 Computational Intelli

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21#
發(fā)表于 2025-3-25 03:37:32 | 只看該作者
Recruitment Learning – An Introduction model is sought for a given problem and is realized by use of a computational device. Abstraction often means simplification: a complex and real problem is replaced by a model that can solve a given problem (Aho & Ullman, 1992, p.3).
22#
發(fā)表于 2025-3-25 09:03:55 | 只看該作者
978-3-642-26547-1Springer-Verlag Berlin Heidelberg 2011
23#
發(fā)表于 2025-3-25 13:21:39 | 只看該作者
Recruitment Learning978-3-642-14028-0Series ISSN 1860-949X Series E-ISSN 1860-9503
24#
發(fā)表于 2025-3-25 16:58:39 | 只看該作者
ues that clinicians address in their daily practice.Ideal fo.FDG PET/CT has rapidly emerged as an invaluable combined imaging modality that provides both anatomic and functional information. This book, comprising a collection of images from oncology cases, is organized according to the role of FDG P
25#
發(fā)表于 2025-3-25 21:38:31 | 只看該作者
26#
發(fā)表于 2025-3-26 00:55:06 | 只看該作者
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發(fā)表于 2025-3-26 07:15:20 | 只看該作者
28#
發(fā)表于 2025-3-26 08:43:03 | 只看該作者
29#
發(fā)表于 2025-3-26 15:07:19 | 只看該作者
30#
發(fā)表于 2025-3-26 17:51:12 | 只看該作者
Joachim Diederich,Cengiz Günay,James M. Hogan FDG-PET/CT and PET/MR and specific cardiovascular pathologiThis book is a clinically oriented, up-to-date, and in-depth review of the various applications of FDG-PET/CT and PET/MR in cardiovascular diseases with emphasis on the current available evidence. Positron emission tomography (PET) imaging
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