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Titlebook: Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applica; Esteban Jove,Francisco Zayas-Gato,Jo

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發(fā)表于 2025-3-26 22:18:17 | 只看該作者
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發(fā)表于 2025-3-27 01:39:43 | 只看該作者
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發(fā)表于 2025-3-27 07:56:13 | 只看該作者
https://doi.org/10.1057/9780333995297 this research presents a hybrid system, based on supervised classification techniques, for detecting DoS attacks on IoT networks over CoAP protocol. For the validation of the system, a dataset including network traffic in an IoT network that has suffered DoS attacks has been used.
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發(fā)表于 2025-3-27 13:03:10 | 只看該作者
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發(fā)表于 2025-3-27 21:22:40 | 只看該作者
Transiting Exoplanet Detection Through 1D Convolutional Neural Networks, simulator considers different stellar variability phenomena, such as rotations, pulsations and flares, which along with the stellar noise expected for K2 data, hinders the transit signal detection, as in real data.
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發(fā)表于 2025-3-27 23:30:46 | 只看該作者
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發(fā)表于 2025-3-28 03:10:38 | 只看該作者
Imagelytics: A Deep Learning-Based Image Classification Tool to Support Bioassessment,ify images and the Grad-CAM algorithm to produce heatmaps of the image areas that mostly influenced the network decision. Along with the application code, we also open-sourced scripts that can be used to train CNN on an arbitrary dataset and produce required metadata, so it can be used with Imagelyt
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發(fā)表于 2025-3-28 09:49:52 | 只看該作者
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