Titlebook: Artificial Intelligence for Cloud and Edge Computing; Sanjay Misra,Amit Kumar Tyagi,Lalit Garg Book 2022 The Editor(s) (if applicable) and

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https://doi.org/10.1007/978-3-8348-9493-9ses challenges and complexities associated with the knowledge domain (gap analysis) of contemporary IoT architectures and proposes a system-wide view of the IoT stack which has been developed following a classical structured approach in system engineering requirement and needs analysis and model eng

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https://doi.org/10.1007/978-3-8348-9493-9T. In order to protect EoT and IoT appliances and devices, an improved IDSs-IoT is proposed by implementing ten different machine learning models. In the first line of this research, normalization technique was performed using the minimum-maximum (min-max) method. Subsequently, dimensionality reduct

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Artificial Intelligence for Cloud and Edge Computing

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Classification of Swine Disease Using K-Nearest Neighbor Algorithm on Cloud-Based Framework,wine diseases in pigs. MySQL was used for the cloud-based database which is at the backend of the website developed. PHP was used for the coding aspect of the system; the KNN algorithm was embedded into the PHP version 7.1.30. The developed system was able to predict disease that detects the likely