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Titlebook: Reviews of Physiology, Biochemistry and Pharmacology; M. P. Blaustein,R. Greger,M. Schweiger Book 1999 The Editor(s) (if applicable) and T

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21#
發(fā)表于 2025-3-25 03:37:09 | 只看該作者
Susanne Romberg 6 June 1990. The main impetus for the workshop came from the Graphics and Interaction in ESPRIT Technical Interest Group of the European Community ESPRIT Programme. The Graphics and Interac- tion in ESPRIT Technical Interest Group arose from a meeting of researchers held in Brussels in May 1988, wh
22#
發(fā)表于 2025-3-25 07:41:14 | 只看該作者
23#
發(fā)表于 2025-3-25 13:22:10 | 只看該作者
Maya Astronomy and Architectureed platforms, large temples, tall pyramids with small temples atop, palaces, elite residences, small residences and lengthy raised roadways. The most important buildings were always astronomically aligned for a variety of purposes, but mainly for agriculture and timekeeping. The Maya attempted to re
24#
發(fā)表于 2025-3-25 15:55:14 | 只看該作者
25#
發(fā)表于 2025-3-25 22:37:05 | 只看該作者
26#
發(fā)表于 2025-3-26 02:49:20 | 只看該作者
Effectiveness of?a?mHealth Coaching Program on?Predictors of?Work Absenteeisme in reducing the risks of absenteeism. However, the effects of these health interventions are rarely explored in terms of predicting work absenteeism. This paper presents the outcomes of a six month coaching-based digital health intervention. In this intervention, employees receive health or lifest
27#
發(fā)表于 2025-3-26 05:07:49 | 只看該作者
Hybrid Splitting Criterion in Decision Trees for Data Stream Miningmisclassification error. The hybrid splitting criterion reveals advantages of its both component. The online decision tree with hybrid criterion demonstrates higher classification accuracy than the online decision trees with both considered single criteria.
28#
發(fā)表于 2025-3-26 08:27:13 | 只看該作者
Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images,f different configuration networks are trained. It is found that the majority of networks give better accuracy when trained using the dropout method. This indicates that dropout is an effective method to improve training of deep neural networks on the application of recognising natural images of digits and characters.
29#
發(fā)表于 2025-3-26 16:00:10 | 只看該作者
30#
發(fā)表于 2025-3-26 19:56:45 | 只看該作者
https://doi.org/10.1007/978-1-349-27493-2 the world of professionals. Titled ., Part Two takes off from the previous conceptual foundations to explore possible bridges to cross the chasm between theory and practice and then provide a host of rules, samples, and practices of how to do so. Part Three, titled ., spans different continents and
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