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Titlebook: Computational Intelligence, Data Analytics and Applications; Selected papers from Fausto Pedro García Márquez,Akhtar Jamil,Alaa Ali Confer

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Smart Autonomous Bike Hardware Safety Metrics,ensure maximum safety for both the rider and the vehicle. The metrics proposed which indicate whether the smart bike is safe to ride are also presented. The proposed approach is implemented on a real-life smart autonomous bike prototype. Furthermore, this paper provides guidelines on how to use Mean
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,Symptom Based Health Status Prediction via Decision Tree, KNN, XGBoost, LDA, SVM, and Random Forestsease and have a prediction about the diseases of people who do not have the condition to go to the hospital. In this way, it can ease the burden on health systems. The disease outcome corresponding to the 11 symptoms found in the data set used is previously experienced results. During the study, di
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An IoT-Based Modular Avionics and Electrical System for Nanosatellite Systems,rough processing the data obtained from the sensors, critical information such as instant detection and tracking of systems errors are transmitted to the cloud, and as a result, proper control can be provided regardless of location. This critical data obtained from the cloud is straightforwardly tra
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,Reinforcement Learning for Intrusion Detection,aset is used to create the reinforcement learning environment to train and evaluate the proposed model. The experimental results show that our proposed reinforcement learning approach outperforms other related solutions in the literature, achieving an accuracy that exceeds 93%.
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Comparison of Small-Sized Deep Neural Network Models for Hyperspectral Image Classification,ks with different characteristics and changing parameters were examined. In this way, the effect of other methods on the classification results was also discussed. Within the scope of the whole study, all methods were tested on Indian Pines, Salinas and Pavia University datasets, frequently preferre
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Computational Intelligence, Data Analytics and ApplicationsSelected papers from
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https://doi.org/10.1007/978-3-031-27099-4Natural language processing; Medical image processing; machine learning; internet of things; exploratory
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