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Titlebook: Intelligent Information and Database Systems; 9th Asian Conference Ngoc Thanh Nguyen,Satoshi Tojo,Bogdan Trawiński Conference proceedings 2

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樓主: 巡洋
41#
發(fā)表于 2025-3-28 15:11:22 | 只看該作者
Level of Education and Previous Experience in Acquiring ICT/Smart Technologies by the Elderly Peoplepondents to provide answers to five questions and to verify two hypotheses. The collected data were processed by the IBM SPSS Statistics software. The findings, correlating to similar studies conducted in other countries, proved the necessity to develop methodologies on acquiring new technologies by the elderly people in the future.
42#
發(fā)表于 2025-3-28 19:38:54 | 只看該作者
Online Integration of Fragmented XML Documentsore of each new fragment that can be integrated with the documents available at a central site. We show that processing of the smallest cores of XML fragments significantly reduces overall processing?time.
43#
發(fā)表于 2025-3-29 01:37:39 | 只看該作者
44#
發(fā)表于 2025-3-29 06:51:44 | 只看該作者
45#
發(fā)表于 2025-3-29 07:21:49 | 只看該作者
46#
發(fā)表于 2025-3-29 11:42:32 | 只看該作者
The Effect of Presentation in Online Advertising on Perceived Intrusiveness and Annoyance in Differed as the users with a different emotional state. This research proposes a new aspect in computational advertising to adapt the recommendations based on the user’s emotional state and the parameters of the online advertisements.
47#
發(fā)表于 2025-3-29 18:28:57 | 只看該作者
Influence of Group Characteristics on Agent Votingote and dominant value are used. We also show how this relates to consensus approach in such groups and how to use a combination of both approaches to improve performance of real-life multi-agent systems.
48#
發(fā)表于 2025-3-29 23:42:20 | 只看該作者
49#
發(fā)表于 2025-3-30 00:48:10 | 只看該作者
50#
發(fā)表于 2025-3-30 06:11:36 | 只看該作者
Evaluation of Tensor-Based Algorithms for Real-Time Bidding Optimizationat biases – in particular those being low-order expectation value estimates – are at least as useful as outcomes of high-order components’ processing. Moreover, on the basis of Average Precision results, we postulate that ROC curve should not be the only characteristic used to evaluate RTB CTR estimation performance.
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