mayank kumar singh (94 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware -ÜBER DAS BUCHDieses Buch richtet sich hauptsächlich an Forscher im Bereich der Veterinäranästhesie. Dieses Buch wurde mit dem Ziel erstellt, einen gründlichen Überblick über verschiedene Themen je nach Bedarf und Forschung zu geben. Die Informationen zielen darauf ab, ein grundlegendes Wissen über verschiedene Veränderungen von Anästhetika zu vermitteln, einschließlich früherer Arbeiten, klinischer, physiologischer und biochemischer Veränderungen. Besonderes Augenmerk wurde auf die klinischen Veränderungen und die Hämodynamik gelegt.Die Autoren dieses Buches haben seinen Inhalt sehr schön zusammengestellt, um es zu einem Referenzmaterial für die Forscher und die weitere Forschung zu machen. Wir wünschen uns, dass es seinen Zweck erfüllen wird.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Deutsch.

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Taschenbuch. Zustand: Neu. Neuware.

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Taschenbuch. Zustand: Neu. Neuware -ABOUT THE BOOKThis book is mainly intended for the researchers of veterinary anaesthesiology. This book is strictly prepared with an objective to give a thorough outlook of various topics as per requirement and research. The information is aimed to provide an elementary knowledge of different changes of anaesthetics, included previous works, clinical, physiological and biochemical changes. Special emphasis has been given over the clinical changes and haemodynamics.The authors of this book have compiled its content very nicely to make it a reference material for the researchers and further research. We wish that it would surely serve its purpose.Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch.

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Taschenbuch. Zustand: Neu. Neuware -This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning ¿ instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intelligence and Signal Processing was one of the few unique events that are focused on the convergence of the two fields. The book is comprised of chapters based on the top presentations at the workshop. This book has three chapters on various topics of biometrics ¿ two are on face detection and one on iris recognition; all from top researchers in their field. There are four chapters on different biomedical signal / image processing problems. Two of these are on retinal vesselclassification and extraction; one on biomedical signal acquisition and the fourth one on region detection. There are three chapters on data analysis ¿ a topic gaining immense popularity in industry and academia. One of these shows a novel use of compressed sensing in missing sales data interpolation. Another chapter is on spam detection and the third one is on simple one-shot movie rating prediction. Four other chapters cover various cutting edge miscellaneous topics on character recognition, software effort prediction, speech recognition and non-linear sparse recovery. The contents of this book will prove useful to researchers, professionals and students in the domains of machine learning and signal processing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: kumar AmrendarAbhilasha Singh, she is doing B.Tech Bioinformatics from Amity University, Lucknow and is in 2008-12 batch.Amrendar kumar, he is doing B.Tech Biotechnology from Amity University, lucknow and is in 2008-2012 batch.Mayank.

Taschenbuch. Zustand: Neu. Neuware -This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.

Buch. Zustand: Neu. Neuware -This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.