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Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2022 The Editor(s) (if appl

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21#
發(fā)表于 2025-3-25 03:42:28 | 只看該作者
Lecture Notes in Computer Sciencethis study, we utilized the SIR (Susceptible, Infectious, Recovered) model to forecast the status of Covid-19 in the Rabat region, and the model obtained was compared with the current epidemic situation in the region. Furthermore, we have simulated the propagation of the Covid-19 virus by the Multi-Agent System Gama-Platform.
22#
發(fā)表于 2025-3-25 09:19:27 | 只看該作者
23#
發(fā)表于 2025-3-25 14:13:03 | 只看該作者
24#
發(fā)表于 2025-3-25 16:17:27 | 只看該作者
25#
發(fā)表于 2025-3-25 20:10:18 | 只看該作者
Sandy2x: New Curve25519 Speed Recordssinesses introduced technology improvements (product and/or process innovations). The inventive enterprises introduced 686 inventions, with 56% being product advances and 78.6% being technology improvements.
26#
發(fā)表于 2025-3-26 02:00:44 | 只看該作者
27#
發(fā)表于 2025-3-26 07:57:16 | 只看該作者
28#
發(fā)表于 2025-3-26 09:05:55 | 只看該作者
OntoRecipe: An Ontology Focussed Semantic Strategy for Recipe Recommendationllback-Leibler divergence under the Shuffled Frog-Leaping algorithm a knowledge-centric recipe is recommended. It shows that the proposed structure performs better than the other baseline approaches in terms of the F-Measure and False Discovery Rate having values 95.03 and 0.06.
29#
發(fā)表于 2025-3-26 15:13:39 | 只看該作者
Intelligent IoT Platform for Precocious Detection of Late Blight and TYLCV Tomato Disease in Moroccoan intelligent IoT platform that uses convolutional neural networks to ensure precocious detection of these two diseases, and thus limit the damage they could cause. The proposed convolutional neural networks model allows a 98% accuracy.
30#
發(fā)表于 2025-3-26 20:11:40 | 只看該作者
Forecasting Heating and Cooling Energy Consumption by Seasonal ARIMA Modelsor . and the Scatter Index (SI) show that the seasonal ARIMA approach gives optimal results for both cooling and heating energy consumption forecasting. Finally, this developed time series SARIMA model can be applied as an efficient tool to forecast the energy needs to ensure a long-term development and energy management in the building sector.
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