Titlebook: Bio-inspired Neurocomputing; Akash Kumar Bhoi,Pradeep Kumar Mallick,Valentina E Book 2021 Springer Nature Singapore Pte Ltd. 2021 Bio-comp

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https://doi.org/10.1007/978-3-642-58866-2, the seismal active earth pressure coefficient on the rear of the wall supporting .???Φ backfill has been formulated by the help of limit equilibrium method. This type of problems is highly complex nonlinear optimization problems. Therefore, it will very be difficult to analyze the problem using cl

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https://doi.org/10.1007/978-1-349-24126-2 image are discussed. Block matching algorithms compress the image block by block, and it also operates in a temporal manner. Proposed method is a SVM based algorithm compression. It is the combination of intensity and motion estimation. The proposed technique’s compression gains of 92% accuracy wit

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Japan versus China in the Industrial Racees of daily living (ADL) and environment recognition. This framework is composed of the acquisition, processing, fusion, and data classification features. This study compares different implementations of artificial neural networks. The obtained results were 85.89% and 100% for the recognition of sta

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Bio-inspired Neurocomputing978-981-15-5495-7Series ISSN 1860-949X Series E-ISSN 1860-9503

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https://doi.org/10.1007/978-981-15-5495-7Bio-computational Learning Theory; Machine Learning in Bio-signals and Bio-imaging; Brain Inspired Com