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Titlebook: Computational Science and Its Applications – ICCSA 2021; 21st International C Osvaldo Gervasi,Beniamino Murgante,Carmelo Maria T Conference

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11#
發(fā)表于 2025-3-23 11:52:09 | 只看該作者
12#
發(fā)表于 2025-3-23 16:20:10 | 只看該作者
13#
發(fā)表于 2025-3-23 20:24:53 | 只看該作者
Survival and Event History Analysise goal of providing an architecture for increasing security and safety in automotive context. The experimental analysis performed on real-world data shows that the proposed method obtains encouraging results.
14#
發(fā)表于 2025-3-24 01:14:15 | 只看該作者
Crew Selection and Medical Care,gitimate mobile applications and 111 malicious applications from 11 well-known scareware families, produced their dendograms, and discussed the outcomes. Our results show that the proposed apporach is promising for the verification of relationships found between samples and their attributes.
15#
發(fā)表于 2025-3-24 05:46:36 | 只看該作者
16#
發(fā)表于 2025-3-24 10:26:35 | 只看該作者
17#
發(fā)表于 2025-3-24 13:03:50 | 只看該作者
Predicting Physiological Variables of Players that Make a Winning Football Team: A Machine Learning uring the football matches of a team from the 2nd division of the Portuguese championship. The findings reveal that the most important players’ physiological variables for predicting a win are Player?Load /min, Distance m/min, Distance 0.3?m/s, Acceleration 0.2?m/s with an accuracy of 79%, using the XGBoost algorithm.
18#
發(fā)表于 2025-3-24 15:02:26 | 只看該作者
19#
發(fā)表于 2025-3-24 19:42:10 | 只看該作者
Using Mathematica and 4Nec2 to Design and Simulation of an Antenna in 2100 and 3500?MHz Bands design we used the Mathematica symbolic calculation system. In addition, we propose two frequencies for simulation purposes with the assistance of the free software 4Nec2, which will allow us to see its main characteristics, one of 2100?MHz (0.1428 m wavelength) and another of 3500?MHz (0.1428 m wavelength).
20#
發(fā)表于 2025-3-25 01:32:41 | 只看該作者
Using Quadratic Discriminant Analysis by Intrusion Detection Systems for Port Scan and Slowloris Atty explored as a classification method for IDS. To fill this gap, this study aims to create a new classifier able to distinguish legitimate network traffic from an attack by adopting ML techniques and QDA algorithms for identifying Port Scan and DoS Slowloris attacks.
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