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Titlebook: Computational Collective Intelligence; 9th International Co Ngoc Thanh Nguyen,George A. Papadopoulos,Gottfried Conference proceedings 2017

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Edge Real-Time Medical Data Segmentation for IoT Devices with Computational and Memory Constrainsesource-limited devices. The state-of-art data segmentation methods are analysed and adapted for simple IoT devices. Two segmentation algorithms are proposed and tested on a real-world dataset collected from a prototype of the IoT device.
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Composition and Design of , Eggshells,ion when classifier is shipped to other medical institutes for analysis of shared data. We propose a safety aware and privacy preserving TSVM for classifying cancer subtypes. Performance of TSVM with SVM and accuracy loss of the proposed TSVM are also analyzed.
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MDBR: Mobile Driving Behavior Recognition Using Smartphone Sensorsce safety or unsafe behavior by abnormal behaviors predicted. The system also allowing update data training set by user confirmation from feedback module and achieve higher results with 86.71% accuracy.
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Gene Expression Programming Ensemble for Classifying Big Datasets classifiers involves evolving the meta-gene using genes induced by GEP from randomly generated combinations of instances with randomly selected subsets of attributes. The main property of the discussed classifier is its scalability allowing adaptation to the size of the dataset under consideration.
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