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Titlebook: Artificial Intelligence Applications for Smart Societies; Recent Advances Mohamed Elhoseny,K. Shankar,Mohamed Abdel-Basset Book 2021 Spring

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樓主: Exacting
21#
發(fā)表于 2025-3-25 04:54:01 | 只看該作者
The Possibilities of Scientific Explanationjectives are solved using known optimization techniques. Previously mentioned process analysis information is gathered through the Internet of Things (IoT); finally, the test results are analyzed and contrasted with other existing optimization techniques.
22#
發(fā)表于 2025-3-25 07:50:38 | 只看該作者
23#
發(fā)表于 2025-3-25 14:16:49 | 只看該作者
The Reason Ability of the Deductive Model,e simulation outcome depicts that the presented approach obtained maximum accuracy. Moreover, comparative analysis implied that the neuro-fuzzy model performs better when compared with alternate techniques.
24#
發(fā)表于 2025-3-25 19:32:20 | 只看該作者
Probabilities in Branching Structures recognize the characters in real time. The RTLPR-CNN model undergoes extensive validation on the HumAIn 2019 dataset. A detailed qualitative and quantitative analysis is conducted and the simulation results indicated the effective performance of the RTLPR-CNN model compared to existing LPR models in a significant manner.
25#
發(fā)表于 2025-3-25 23:59:17 | 只看該作者
An Intelligent Classification Model for Big Data with Artificial Intelligence in Social Internet ofthe presented EHO-RBF model on a set of four benchmark datasets. The experimental outcome stated that the presented EHO-RBF model attained maximum accuracy values of 98.8, 98.6, 98.4, and 98.5 for the datasets I–IV, respectively.
26#
發(fā)表于 2025-3-26 03:20:03 | 只看該作者
27#
發(fā)表于 2025-3-26 08:02:29 | 只看該作者
28#
發(fā)表于 2025-3-26 08:39:20 | 只看該作者
Intelligent Heart Disease Detection and Classification Method Using Optimal Neuro-Fuzzy with Stochae simulation outcome depicts that the presented approach obtained maximum accuracy. Moreover, comparative analysis implied that the neuro-fuzzy model performs better when compared with alternate techniques.
29#
發(fā)表于 2025-3-26 13:04:14 | 只看該作者
30#
發(fā)表于 2025-3-26 20:07:53 | 只看該作者
The Possibilities of Scientific Explanationnce techniques to implement the smart water monitoring system. The proposed work utilized Raspberry Pi and low-cost sensors to monitor water resources. The output of the research system is found to be better compared to existing systems.
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