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Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli,Kangbin Yim,Tomoya Enokido Conference proceedings

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31#
發(fā)表于 2025-3-27 00:58:40 | 只看該作者
Conference proceedings 2021d adapt through internal and external dynamic interactions.?..The development of intelligent systems and agents, which is each time more characterized by the use of ontologies and their logical foundations build a fruitful impulse for both software intensive systems and complex systems. Recent resea
32#
發(fā)表于 2025-3-27 02:06:47 | 只看該作者
Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisce proposed method is validated on more than 4.5 million mark records of nearly 100,000 students at a multidisciplinary university in Vietnam. The experimental results show that the four Random Forest-based models give a positive average mean absolute error of 0.452 of Random Forest regression compar
33#
發(fā)表于 2025-3-27 05:35:44 | 只看該作者
34#
發(fā)表于 2025-3-27 10:30:33 | 只看該作者
Dimensionality Reduction on Metagenomic Data with Recursive Feature Elimination,sion reduction approach based on Recursive Feature Elimination combining with Random Forest to provide practical prediction tasks on metagenomic data. The relationship between bacteria causing IBD is what we have to figure out. Our goal is to evaluate whether we can make a more reliable prediction u
35#
發(fā)表于 2025-3-27 14:50:06 | 只看該作者
,The Application of Improved Grasshopper Optimization Algorithm to Flight Delay Prediction–Based on m training model to effectively improve its operating efficiency. The results of simulation experiment prove that in comparison to the unoptimized algorithm, the SPGOA-RF flight delay prediction accuracy rate could achieve to 89.17%.
36#
發(fā)表于 2025-3-27 21:14:36 | 只看該作者
37#
發(fā)表于 2025-3-28 01:33:13 | 只看該作者
,COVID-Prevention-Based Parking with?Risk Factor Computation,that area can be source of crowd. In order to reduce this phenomenon, we perform a user profiling with the aim of reducing the probability that drivers are in the same place at the same time. We achieve the goal by computing a risk factor for any pair of vehicles populating the car parking.
38#
發(fā)表于 2025-3-28 05:26:15 | 只看該作者
A Privacy Preserving Hybrid Blockchain Based Announcement Scheme for Vehicular Energy Network,uncement scheme to enable secure and efficient announcement dissemination. We use IOTA Tangle to enable the benefits of BC on vehicular layer while reducing the storage and computational cost. We employ Elliptic Curve Cryptography based pseudonym update mechanism for hiding the real identities of ve
39#
發(fā)表于 2025-3-28 07:23:35 | 只看該作者
40#
發(fā)表于 2025-3-28 10:44:33 | 只看該作者
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