International Journal of Risk and Contingency Management (IJRCM) Volume 7 PDF Download
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Author: Kenneth David Strang
Publisher:
ISBN: 9781522546689
Category :
Languages : en
Pages : 113
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Book Description
Author: Kenneth David Strang
Publisher:
ISBN: 9781522546689
Category :
Languages : en
Pages : 113
Get Book Here
Book Description
Author: Kenneth David Strang
Publisher:
ISBN: 9781522546696
Category :
Languages : en
Pages : 97
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Book Description
Author: Kenneth David Strang
Publisher:
ISBN: 9781522546672
Category :
Languages : en
Pages : 89
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Book Description
Author: Kenneth David Strang
Publisher:
ISBN: 9781466656277
Category : Contingency theory (Management)
Languages : en
Pages : 106
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Book Description
Author: Kenneth David Strang
Publisher:
ISBN: 9781466615403
Category :
Languages : en
Pages : 67
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Book Description
Author: Strang
Publisher: IGI Publishing
ISBN: 9781466630710
Category : Computers
Languages : en
Pages : 80
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Book Description
Author:
Publisher:
ISBN:
Category : Crisis management
Languages : en
Pages : 65
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Book Description
Author: Pramod Singh Rathore
Publisher: John Wiley & Sons
ISBN: 1119760526
Category : Technology & Engineering
Languages : en
Pages : 308
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Book Description
DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Deep learning is the fastest growing field in computer science. Deep learning algorithms and techniques are found to be useful in different areas like automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delay in children. However, applying deep learning techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. This book provides state of the art approaches of deep learning in these areas, including areas of detection and prediction, as well as future framework development, building service systems and analytical aspects. In all these topics, deep learning approaches, such as artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used. This book is intended for dealing with modeling and performance prediction of the efficient cloud security systems, thereby bringing a newer dimension to this rapidly evolving field. This groundbreaking new volume presents these topics and trends of deep learning, bridging the research gap, and presenting solutions to the challenges facing the engineer or scientist every day in this area. Whether for the veteran engineer or the student, this is a must-have for any library. Deep Learning Approaches to Cloud Security: Is the first volume of its kind to go in-depth on the newest trends and innovations in cloud security through the use of deep learning approaches Covers these important new innovations, such as AI, data mining, and other evolving computing technologies in relation to cloud security Is a useful reference for the veteran computer scientist or engineer working in this area or an engineer new to the area, or a student in this area Discusses not just the practical applications of these technologies, but also the broader concepts and theory behind how these deep learning tools are vital not just to cloud security, but society as a whole Audience: Computer scientists, scientists and engineers working with information technology, design, network security, and manufacturing, researchers in computers, electronics, and electrical and network security, integrated domain, and data analytics, and students in these areas
Author: Strang, Kenneth David
Publisher: IGI Global
ISBN: 152254755X
Category : Business & Economics
Languages : en
Pages : 458
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Book Description
Risk management is a vital concern in any organization. In order to succeed in the competitive modern business environment, the decision-making process must be effectively governed and managed. Research, Practices, and Innovations in Global Risk and Contingency Management is a critical scholarly resource that provides an all-encompassing holistic discussion of risk management and perception, while giving readers innovations on empirical risk-contingency management research and case studies. Featuring coverage on a broad range of topics, such as contingency planning, project management, and risk mitigation, this book is geared towards academicians, practitioners, and researchers seeking current research on risk and contingency management issues.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1466674571
Category : Science
Languages : en
Pages : 2107
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Book Description
Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data, appropriate measures must be taken in conducting studies and reporting findings. Research Methods: Concepts, Methodologies, Tools, and Applications compiles chapters on key considerations in the management, development, and distribution of data. With its focus on both fundamental concepts and advanced topics, this multi-volume reference work will be a valuable addition to researchers, scholars, and students of science, mathematics, and engineering.
