دانلود کتاب رویکردهای یادگیری عمیق برای امنیت ابری

This book is organized into fifteen chapters. Chapter 1 discusses the prevailing Biometric modalities, classification, and their working. It goes on to discuss the various approaches used for Facial Biometric Identification such as feature selection, extraction, face marking, and the nearest neighbor approach. In Chapter 2 we understand the cloud computing concept with Multi- Tenant Framework (MWF). In Multi-Tenant Framework, there is a requirement of privacy and security, a concept developed using Deep Learning. The goal is to find privacy requirements in many factors. Multi-tenancy based systems use the Deep Learning concept. The services of Multi- Tenant based systems are aggregated due to the dynamic environment of cloud computing. Three consistencies will maintain privacy policies using deep learning. In Chapter 3, Automatic Emotion Detection using facial expression recognition is now a main area of focus in various fields such as computer science, medicine, and psychology. Various feature extraction techniques have been developed for classification of expressions from EEG signals from brain and facial expressions from static images, as well as real time videos. Deep Learning plays an important role for this kind of task. This chapter provides a review of research work carried out in the field of facial expression recognition and EEG Signal classification. In Chapter 4, the main motivation of the proposed work is to improve the efficiency of wind power generation with the use of solar panels and utilize the power generated by solar cells effectively by powering the electrical components used inside the wind mill, such as revolving motor, elevators, etc. In this paper, various literatures have been reviewed and the remarkable features of the proposed system are highlighted. At the end, the data analysis is done using deep learning and all the results are visualized in graphical form. In the analysis, the power generation from our proposed system and traditional methods is visualized.