Archive, Matrix, Assembly: The Photographs of Thomas Struth 1978-2018' presents the first comprehensive, systematic theory of contemporary German artist Thomas Struth's main body of photographic work from its beginnings in the late 1970s until his most recent work in 2018.0The book presents a unique, evolutionary understanding of the work, proposing that it has established three stages of production: archive, matrix, and assembly. Together the three stages form a developmental system that characterises the individual photographs, their relation to their subject matter, and how they form larger, significant collections of images. In covering all phases of the artist's work, it also develops a comprehensive critical reading of the work, serves as a monograph of the artist, and provides an extensive analysis of the photographs at all stages, including the less discussed, more recent photography, which is placed on par with his earlier work for which Struth first became internationally renowned.

Campt explores the affective resonances of two archives of Black European photographs for those pictured, their families, and the community. Image Matters looks at photograph collections of four Black German families taken between 1900 and the end of World War II and a set of portraits of Afro-Caribbean migrants to Britain taken at a photographic studio in Birmingham between 1948 and 1960.

The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis. Efficient use of sparsity is a key to solving large problems in many fields. This book provides both insight and answers for those attempting to solve these problems.

The post-Christian West is in decline, revived Islam is on the rise, and Mesopotamia (Syria-Iraq), the cradle of civilization, has become ground zero in a battle for civilization. Despised as infidels (unbelievers) and kafir (unclean), Mesopotamia's indigenous Christian peoples are targeted by fundamentalist Muslims and jihadists for subjugation, exploitation, and elimination. Pushed deep into the fog of war, buried under a mountain of propaganda, and rendered invisible by a shroud of silence, they are betrayed and abandoned by the West's "progressive" political, academic, and media elites who cling to utopian fantasies about Islam while nurturing deep-seated hostility towards Christianity. If they are to survive as a people in their historic homeland, the Christians of Mesopotamia will need all the help they can get. If Western civilization is to survive as a force in its historic heartland (Europe), then we had better start seeing, hearing, and believing the Christians of the Middle East, for their plight prefigures our own.

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.