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Titlebook: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy; Proceedings of the F Manoj Sahni,José M. Merigó,Rajkumar

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A Novel Approach of Polsar Image Classification Using Naïve Bayes Classifierrithms. The comparison is made in terms of accuracy assessment and quality analysis (visual analysis) of the obtained classified image. It showed that our proposed approach outperformed the other conventional classifiers in terms of qualitative analysis and has higher cross-validation accuracy than
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Robotic Grasp Synthesis Using Deep Learning Approaches: A Surveythen artificial neural networks. Primarily four types of network architectures in deep learning are identified and discussed in this work. They are unsupervised pre-trained network, convolution neural network, recurrent neural network and recursive neural network architectures. Types and availabilit
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nts, also called . or just .. After briefly reviewing the relevant definitions and previous work in the area, we present a novel system for automatically extracting ratio from cases using a combination of natural language processing and machine learning. Our approach is based on the hypothesis that
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Priyanshi Patel,Dhairya Shah,Jalaja Pandya,Satyam Shindeops LENLS, JURISIN, ALSIP, MiMI, which tool place on November/December 2012, respectively, in Miyazaki, Japan. The 17 contributions in this volume were carefully reviewed and selected from 42 submissions.They are an excellent selection of papers that are representative of topics of AI research both
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