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Titlebook: Computer and Information Science; Roger Lee Book 2015 Springer International Publishing Switzerland 2015 13th ACIS/IEEE.ACIS/IEEE.Computat

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11#
發(fā)表于 2025-3-23 10:49:07 | 只看該作者
A Survey on the Categories of Service Value/Quality/Satisfactory Factors,ation on related factors is missing in current literature. In this paper, we work towards the solution of this problem. Firstly we collect more than 200 related factors from literature review. Secondly we try to provide a classification framework through a constructive process at conceptual level. T
12#
發(fā)表于 2025-3-23 15:42:48 | 只看該作者
13#
發(fā)表于 2025-3-23 18:54:25 | 只看該作者
14#
發(fā)表于 2025-3-24 01:13:38 | 只看該作者
A Simple Model for Evaluating Medical Treatment Options, patient, out of many alternative treatment options. This paper introduces a model that is intuitive to clinicians for evaluating medication treatment options, and therefore has the advantage of engaging clinicians actively in a collaborative development of clinical Decision Support Systems (DSS). T
15#
發(fā)表于 2025-3-24 03:17:58 | 只看該作者
Follow-Up of Pacemaker Patients,ature space via possibilistic unsupervised learning and feature weighting. Our initial experiments have indicated that the proposed fusion approach outperforms individual classifiers and the global fusion method. Also, in order to validate the obtained results, we compared the performance of the proposed approach with related fusion methods.
16#
發(fā)表于 2025-3-24 09:00:50 | 只看該作者
Organization of Dialysis Treatment,dimension from a technological point of view. This framework is considered in our researches that are interested in developing ubiquitous learning environments based on wireless and sensor technologies. Finally, we detail how we exploit this framework to evaluate a realistic case study.
17#
發(fā)表于 2025-3-24 11:24:37 | 只看該作者
Flux of Dialysis Membrane: Benefit and Risk engines based on Sina Micro-blog and deployed them online to gather feedback from real users. Experimental results show that this method can recommend interesting information to users and improve the precision and stability of personalized information recommendation by?30?%.
18#
發(fā)表于 2025-3-24 16:54:02 | 只看該作者
19#
發(fā)表于 2025-3-24 20:25:51 | 只看該作者
20#
發(fā)表于 2025-3-25 02:11:18 | 只看該作者
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