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rathore p deep learning approaches cloud security 2022

Type:: E-books
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Uploaded On:: Jan. 9, 2022, 10:12 a.m.
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Info Hash:: 3D2C9E19AA28ACE00EC3B5208701367F7F17BAAF

Textbook in PDF format 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. Biometric Identification Using Deep Learning for Advance Cloud Security Privacy in Multi-Tenancy Cloud Using Deep Learning Emotional Classification Using EEG Signals and Facial Expression: A Survey Effective and Efficient Wind Power Generation Using Bifarious Solar PV System Background Mosaicing Model for Wide Area Surveillance System Prediction of CKD Stage 1 Using Three Different Classifiers Classification of MRI Images to Aid in Diagnosis of Neurological Disorder Using SVM Convolutional Networks Categorization of Cloud Computing & Deep Learning Smart Load Balancing in Cloud Using Deep Learning Biometric Identification for Advanced Cloud Security Application of Deep Learning in Cloud Security Real Time Cloud Based Intrusion Detection Applications of Deep Learning in Cloud Security

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rathore p deep learning approaches cloud security 2022

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