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Titlebook: Hybrid Intelligent Systems; 21st International C Ajith Abraham,Patrick Siarry,Patrick Hung Conference proceedings 2022 The Editor(s) (if ap

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楼主: VIRAL
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Blockchain Integrated Machine Learning for Training Autonomous Carsrk that will connect every car for that particular company. In this way, while in a dynamic condition also, the cars will stay connected with each and every one and the data will be exchanged. So, the training will be done using Deep Neural Networks and since the data transfer and weights update req
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A Convenient Method and Design for Constructing an IoT-Based Smart Automated Sanitization Systemdevices from anywhere in the world because they work through a cloud data server. This study suggests an automated disinfector machine with a proximity sensor-integrated automated door and NodeMCU to create the prototype. This procedure can conduct automatically, via speech, or even using a mobile a
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Combating Depression Through the Neural Analysis of Web Behaviorlculating the embedding directly for each input sentence using a self-attention mechanism instead of constructing a composite sentence embedding derived from individual words’ embeddings. An improvement of 5.5% and 3.5% is seen in the accuracy and F1-score, respectively, in the proposed model vis-à-
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Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithmrameters are optimized on more diverse sets of instances. We observe that the chosen values are not necessarily ones that would be considered the best in the literature because they are used as part of the multi-configurations.
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An Intelligent and Efficient Safe Driving Systemthe failure tolerance. Regarding the introduction of RT-DB, it diminishes data communications, and thus decreases the reaction time of vehicles. Simulations of various driving scenarios, under the . (VEINS) framework, confirm that CoopSafeDrivSyst ensures a preferment and efficient road management s
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