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Titlebook: Intelligent Decision Technologies; Proceedings of the 1 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2020 The

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樓主: brachytherapy
51#
發(fā)表于 2025-3-30 08:49:04 | 只看該作者
52#
發(fā)表于 2025-3-30 14:28:17 | 只看該作者
53#
發(fā)表于 2025-3-30 17:26:54 | 只看該作者
Multi-agent Approach to the DVRP with GLS Improvement Procedurets a multi-agent approach to the DVRP, where Guided Local Search (GLS) procedure has been applied to periodic re-optimization of static subproblems, including requests, which have already arrived to the system. Computational experiment has been carried out to confirm the efficiency of the proposed approach.
54#
發(fā)表于 2025-3-30 22:28:04 | 只看該作者
Study the Elastic Waves Propagation in Multistory Buildings, Taking into Account Dynamic Destructionand the destruction model of fractures to calculate the dynamical destruction. The results obtained can be of practical importance in the development of methods for increasing the earthquake stability of the multistory buildings.
55#
發(fā)表于 2025-3-31 01:11:05 | 只看該作者
Conference proceedings 2020e was to present and discuss the latest research results, and to generate new ideas in the field of intelligent decision-making. However, the range of topics discussed during the conference was definitely broader and covered methods in e.g. classification, prediction, data analysis, big data, data s
56#
發(fā)表于 2025-3-31 08:18:02 | 只看該作者
On a Novel Representation of Multiple Textual Documents in a Single Graphpared to well-tried existing solutions, our initial experimentations demonstrate a significant improvement of the accuracy of the text categorization process. For the experimentations reported in this paper, we used a well-known dataset containing about 19,000 documents organized in various subjects.
57#
發(fā)表于 2025-3-31 12:14:10 | 只看該作者
58#
發(fā)表于 2025-3-31 14:12:18 | 只看該作者
59#
發(fā)表于 2025-3-31 19:33:57 | 只看該作者
Weighted Network Analysis for Computer-Aided Drug Discoverynd, and the weight of each link equals the structural similarity between the compounds (nodes). We investigated the weighted network structure and how the bioactivity of compounds distributes on the network. We found that compounds with significantly high or low bioactivity have a stronger connection than those in the overall network.
60#
發(fā)表于 2025-4-1 01:36:09 | 只看該作者
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