Titlebook: Stability Analysis of Neural Networks; Grienggrai Rajchakit,Praveen Agarwal,Sriraman Rama Book 2021 The Editor(s) (if applicable) and The

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Grienggrai Rajchakit,Praveen Agarwal,Sriraman Ramalingamunts to petabytes of data. This leads to conglomeration of problems limited not only to data management but also lack in ability to present the overall point of view of the critical observations at a real time scenario. Some of these observations impact the business revenue/cost process and due to l

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Grienggrai Rajchakit,Praveen Agarwal,Sriraman Ramalingamn abundance of regulations. Accordingly, numerous business process variants need to be supported depending on a multiplicity of influencing factors, e.g., customer requests, resource availability, compliance rules, or process data. In particular, even running processes should be adjustable to respon

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nse of Lyapunov, and, naturally, the proof method is based on the Lyapunov stability theory. The present book will serve as a guide to enable the reader in pursuing the study of further topics in greater depth and is a valuable reference for young researcher and scientists. .978-981-16-6536-3978-981-16-6534-9

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Grienggrai Rajchakit,Praveen Agarwal,Sriraman Ramalingamof the impact of age-related muscle loss (sarcopenia) on the pathogenesis of falls and fractures in older persons.As in the previous edition, this book is expected to be the reference guide for geriatricians, g978-3-319-79869-1978-3-319-25976-5

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–50 % reduction in sample sizes required when compared to the Wilcoxon rank sum (WRS) test. The Wald test has the highest power to detect a reduction in the number of lesion counts and provides a 40–57 % reduction in sample sizes when compared to the WRS test.