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Titlebook: High Resolution EPR; Applications to Meta Lawrence Berliner,Graeme‘Hanson Book 2009 Springer-Verlag New York 2009 X-ray.chemistry.dynamics.

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樓主: 短暫
21#
發(fā)表于 2025-3-25 04:38:46 | 只看該作者
a, in November 2018.. .The 27 full papers were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on data analysis; decision systems; health care information systems; IT architectures; learning management systems; mobile information processing systems;
22#
發(fā)表于 2025-3-25 10:15:51 | 只看該作者
23#
發(fā)表于 2025-3-25 14:39:01 | 只看該作者
24#
發(fā)表于 2025-3-25 16:47:45 | 只看該作者
Jeffrey Harmer,George Mitrikas,Arthur Schweigeresents a proposal to define the essential components for the construction of a model for the analysis of the records given by the students enrolled in courses in a virtual learning platform (VLE). The article after a review of the use of data analytics in VLE presents a strategy to characterize the
25#
發(fā)表于 2025-3-25 22:50:48 | 只看該作者
26#
發(fā)表于 2025-3-26 03:27:46 | 只看該作者
Graeme R. Hanson,Christopher J. Noble,Simon Benson many factors, making the process of predicting them a challenging task. This paper describes a method to build models for predicting stock prices using long short-term memory network (LSTM). The LSTM-based model, which we call dynamic LSTM, is initially built and continuously retrained using newly
27#
發(fā)表于 2025-3-26 08:07:42 | 只看該作者
28#
發(fā)表于 2025-3-26 11:56:34 | 只看該作者
which uses the gesture-spatial configuration of the hands as a communication channel with their social environment. This work proposes the development of a gesture recognition method associated with sign language from the processing of time series from the spatial position of hand reference points
29#
發(fā)表于 2025-3-26 13:49:18 | 只看該作者
Betty J. Gaffneybols of . in images by using a Deep Learning model that has been trained from scratch. In this way, we seek to assist teachers of an undergraduate subject to automatically evaluate diagrams made as part of the practical exercise of their students. For this purpose, in addition to having carried out
30#
發(fā)表于 2025-3-26 20:16:30 | 只看該作者
Nata?a Miti?,Gerhard Schenk,Graeme R Hansonbols of . in images by using a Deep Learning model that has been trained from scratch. In this way, we seek to assist teachers of an undergraduate subject to automatically evaluate diagrams made as part of the practical exercise of their students. For this purpose, in addition to having carried out
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