Ramakrishna ravi (24 Ergebnisse)

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Taschenbuch. Zustand: Neu. Applications of UNI Variate Time Series Models and Neural Networks | Forecasting of Electricity Load in Andhra Pradesh using Neural Network | Ramakrishna Ravi | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200568571 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Zustand: Neu. Neuware - Bridge traditional herbal medicine with modern drug delivery Traditional medicinal plants contain bioactive compounds with cardiovascular therapeutic potential, but realizing this promise requires modern delivery innovations. Phytomedicine in Cardiovascular Health examines how nanoparticles, liposomes, and targeted therapies improve efficacy and bioavailability of herbal cardiovascular medicines. This book provides scientific validation of cardioprotective herbal medicines alongside comparative analysis of herbal versus synthetic drugs, covering pharmacokinetics, pharmacodynamics, and mechanisms of action. Safety evaluation protocols and regulatory challenges are also addressed. Readers will also find: - Comparative analysis of herbal versus synthetic cardiovascular agents across pharmacokinetic and pharmacodynamic parameters - Clinical guidance for pharmacists, researchers, and clinicians on herbal medicine use in cardiovascular care - Validation frameworks for cardioprotective herbal medicines using modern research methodologies - Targeted drug delivery systems designed to improve therapeutic efficacy of phytochemicals for hypertension and heart disease Ideal for researchers, pharmacists, physicians, and regulatory professionals in cardiovascular health. Graduate students in pharmacy, medicine, and biotechnology will find authoritative coverage of this interdisciplinary field.…

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Forecasting of daily and monthly electricity load using Box-Jenkins methodology and feed forward neural networks is discussed. This study investigates application of neural networks models and the results of neural networks determination be compared with those obtained by Box-Jenkins method. The performances were compared based on three measures: mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). The Final conclusion of this book is Feed-Forward neural networks models are better and superior than Box-Jenkins models. 140 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ravi RamakrishnaDr. Ravi.Ramakrishna is a Professor in Statistics VJIT (A), Hyderabad. He has completed Ph.D. (Statistics) from Osmania University. He has more than 14 years of experience in VJIT,Hyderabad and 4 years of experience.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Forecasting of daily and monthly electricity load using Box-Jenkins methodology and feed forward neural networks is discussed. This study investigates application of neural networks models and the results of neural networks determination be compared with those obtained by Box-Jenkins method. The performances were compared based on three measures: mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). The Final conclusion of this book is Feed-Forward neural networks models are better and superior than Box-Jenkins models.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Forecasting of daily and monthly electricity load using Box-Jenkins methodology and feed forward neural networks is discussed. This study investigates application of neural networks models and the results of neural networks determination be compared with those obtained by Box-Jenkins method. The performances were compared based on three measures: mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). The Final conclusion of this book is Feed-Forward neural networks models are better and superior than Box-Jenkins models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch.…