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Author: Pramod Singh Rathore Publisher: John Wiley & Sons ISBN: 1119760526 Category : Technology & Engineering Languages : en Pages : 308
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: Pramod Singh Rathore Publisher: John Wiley & Sons ISBN: 1119760526 Category : Technology & Engineering Languages : en Pages : 308
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: Management Association, Information Resources Publisher: IGI Global ISBN: 1466674571 Category : Science Languages : en Pages : 2107
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.
Author: Strang, Kenneth David Publisher: IGI Global ISBN: 152254755X Category : Business & Economics Languages : en Pages : 458
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: Antonella Petrillo Publisher: BoD – Books on Demand ISBN: 1838811877 Category : Business & Economics Languages : en Pages : 382
Book Description
Global competition has caused fundamental changes in the competitive environment of the manufacturing and service industries. Firms should develop strategic objectives that, upon achievement, result in a competitive advantage in the market place. The forces of globalization on one hand and rapidly growing marketing opportunities overseas, especially in emerging economies on the other, have led to the expansion of operations on a global scale. The book aims to cover the main topics characterizing operations management including both strategic issues and practical applications. A global environmental business including both manufacturing and services is analyzed. The book contains original research and application chapters from different perspectives. It is enriched through the analyses of case studies.
Author: Management Association, Information Resources Publisher: IGI Global ISBN: 1799812111 Category : Technology & Engineering Languages : en Pages : 1680
Book Description
As the world’s population continues to grow and economic conditions continue to improve, more solid and liquid waste is being generated by society. Improper disposal methods can not only lead to harmful environmental impacts but can also negatively affect human health. To prevent further harm to the world’s ecosystems, there is a dire need for sustainable waste management practices that will safeguard the environment for future generations. Waste Management: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines the management of different types of wastes and provides relevant theoretical frameworks about new waste management technologies for the control of air, water, and soil pollution. Highlighting a range of topics such as contaminant removal, landfill treatment, and recycling, this multi-volume book is ideally designed for environmental engineers, waste authorities, solid waste management companies, landfill operators, legislators, environmentalists, policymakers, government officials, academicians, researchers, and students.
Author: Kurt J. Engemann Publisher: Walter de Gruyter GmbH & Co KG ISBN: 3110731215 Category : Business & Economics Languages : en Pages : 276
Book Description
The objective of the multi-volume book Developments in Managing and Exploiting Risk is to offer a balanced view to enable the reader to better appreciate risk as a counterpart to reward, and to understand how to holistically manage both elements of this duality. Crises can challenge any organization, and with a seemingly endless stream of disruptive and even catastrophic events taking place, there is an increasing emphasis on preparing for the worst. However, being focused on the negative aspects of risk, without giving consideration to the positive attributes, may be shortsighted. Playing it safe may not always be the best policy, because great benefits may be missed. Analyzing risk is difficult, in part because it often entails events that have never occurred. Organizations, being mindful of undesirable potential events, are often keenly averse to risk to the detriment of capitalizing on its potential opportunities. Risk is usually perceived as a negative or downside but a commensurate weight should also be given to the potential rewards or upside, when evaluating new ventures. Even so, too much of a good thing may create unintended consequences of positive risk, which is also an undesirable situation. Developments in Managing and Exploiting Risk provides a professional and scholarly venue in the critical field of risk in business with particular emphasis on decision-making using a comprehensive and inclusive approach.
Author: West, Lindy Lou Publisher: IGI Global ISBN: 1522525386 Category : Business & Economics Languages : en Pages : 531
Book Description
Modern businesses exist in a dynamic and increasingly competitive realm. To remain viable, organizations must constantly adopt new methods and processes to optimize productivity and workflow. The Handbook of Research on Emerging Business Models and Managerial Strategies in the Nonprofit Sector is a comprehensive reference source for the latest scholarly information on management tools, analytics, and infrastructures for contemporary nonprofit organizations. Highlighting a range of multidisciplinary topics such as crowdfunding, shared value creation, and human resource development, this publication is ideally designed for managers, professionals, students, researchers, and academics interested in enhancing process management in nonprofit businesses.
Author: Idemudia, Efosa Carroll Publisher: IGI Global ISBN: 1799833534 Category : Business & Economics Languages : en Pages : 459
Book Description
To date, a plethora of companies and organizations are investing vast amounts of money on the latest technologies. Information technology can be used to improve market share, profits, sales, competitive advantage, and customer/employee satisfaction. Unfortunately, the individuals meant to use these technologies are not well equipped on how to effectively and efficiently use these tools for competitive advantage and decision making. The Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making is a collection of innovative research relevant to the methodologies, theoretical frameworks, and latest empirical research findings in information technology applications, strategic competitive advantage, and decision making. While highlighting topics including agility, knowledge management, and business intelligence, this book is ideally designed for information technology professionals, academics, researchers, managers, executives, and government officials interested in using information technology for strategic competitive advantage and better decision making.
Author: Pramod Singh Rathore
Author: Pramod Singh Rathore
Author: Management Association, Information Resources
Author: Strang, Kenneth David
Author: Antonella Petrillo
Author: Management Association, Information Resources
Author: 
Author: Kenneth David Strang
Author: Kurt J. Engemann
Author: West, Lindy Lou
Author: Idemudia, Efosa Carroll