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Sacred Knowledge is a compilation book containing parts of ancient sacred texts and books within Alchemy, Mysticism, Magic, Kabbalah, Tarot and the esoteric doctrine. The purpose is to preserve these sacred texts and support the original authors and their works.
What causes revolution? What brought about the end of the last major monarchies of the modern period? Were Louis XVI, Nicholas II, and Mohammad Reza Pahlavi the unwitting victims of historical circumstance, or did their own actions help to bring about the revolutions that overthrew them? This powerful and original book is the first comparative study of the revolutions in Bourbon France, Romanov Russia and Pahlavi Iran. Zhand Shakibi analyses fully the timing and causes of these three revolutions and reveals the important similarities between them. "Revolutions and the Collapse of Monarchy" argues provocatively that it is often the monarch's own personality that provides the vital spark which produces revolution. This ambitious and important book challenges the Marxist interpretation of history and adds a compelling new perspective to theories of revolution.
Tehrani proposes a simple script conversion method which uses practically no diacritical marks to make Persian-language materials more accessible to users.
See the full beauty of our night sky revealed as never before in over 200 photographs from around the world. Bringing together the images of over 40 photographers across 25 countries, be astounded by the lights of the night sky in some of the darkest places on earth; discover the beauty of galaxies, planets, and stars; view great celestial events; and see some of the world’s most important landmarks against the backdrop of an incredible nightscape. Babak Tafreshi, founder of the international organization The World at Night, has curated the images in this collection—many of them previously unseen—to reveal the true splendor of the sky at night. A specialist guide to night-sky photograp...
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
'A very handy feature of this book includes an appendix section consisting of fifteen parts, each dedicated to listing equations and solution examples for calculating various important quantities for optoelectronic devices. This book is an in-depth technical resource for understanding the principles of various types of optoelectronic devices and systems. Students, as well as working professionals, would find this book useful for calculating quantities needed in the design of optical system components. There is a section, at the end of the book, along with an extension reference list at the end of each chapter that provides problems from each chapter, making this book suitable for an undergra...
This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.
The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.