Alexander Martin – författare

Russia and Germany have had a long history of significant cultural, political, and economic exchange. Despite these beneficial interactions, stereotypes of the alien Other persisted. Germans perceived Russia as a vast frontier with unlimited potential, yet infused with an \u201cAsianness\u201d that explained its backwardness and despotic leadership. Russians admired German advances in science, government, and philosophy, but saw their people as lifeless and obsessed with order.Fascination and Enmity presents an original transnational history of the two nations during the critical era of the world wars. By examining the mutual perceptions and misperceptions within each country, the contributors reveal the psyche of the Russian-German dynamic and its use as a powerful political and cultural tool.Through accounts of fellow travelers, POWs, war correspondents, soldiers on the front, propagandists, revolutionaries, the Comintern, and wartime and postwar occupations, the contributors analyze the kinetics of the Russian-German exchange and the perceptions drawn from these encounters. The result is a highly engaging chronicle of the complex entanglements of two world powers through the great wars of the twentieth century.

This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages.The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications.Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research.

Water supply- and drainage systems and mixed water channel systems are networks whose high dynamic is determined and/or affected by consumer habits on drinking water on the one hand and by climate conditions, in particular rainfall, on the other hand.

Water supply- and drainage systems and mixed water channel systems are networks whose high dynamic is determined and/or affected by consumer habits on drinking water on the one hand and by climate conditions, in particular rainfall, on the other hand. According to their size, water networks consist of hundreds or thousands of system elements. Moreover, different types of decisions (continuous and discrete) have to be taken in the water management. The networks have to be optimized in terms of topology and operation by targeting a variety of criteria. Criteria may for example be economic, social or ecological ones and may compete with each other. The development of complex model systems and their use for deriving optimal decisions in water management is taking place at a rapid pace. Simulation and optimization methods originating in Operations Research have been used for several decades; usually with very limited direct cooperation with applied mathematics. The research presented here aims at bridging this gap, thereby opening up space for synergies and innovation. It is directly applicable for relevant practical problems and has been carried out in cooperation with utility and dumping companies, infrastructure providers and planning offices. A close and direct connection to the practice of water management has been established by involving application-oriented know-how from the field of civil engineering. On the mathematical side all necessary disciplines were involved, including mixed-integer optimization, multi-objective and facility location optimization, numerics for cross-linked dynamic transportation systems and optimization as well as control of hybrid systems. Most of the presented research has been supported by the joint project „Discret-continuous optimization of dynamic water systems“ of the federal ministry of education and research (BMBF).

This proceedings volume contains a selection of 97 papers presented at the International Conference on Operations Research (OR 2001), the Annual Conference of the German Operations Research Society (GOR). The contributions cover the broad interdisciplinary spectrum of operations research and present advances in theory, development of methods and applications in practice. Subjects covered are transport and traffic, energy and environment, quantitative methods in marketing, production and logistics and supply chain management, finance and banking and insurance, scheduling and project planning, operations research in the health service, continuous optimization, discrete and combinatorial optimization, stochastic optimization and simulation, econometrics and statistics and mathematical economics, decision theory, artificial intelligence and fuzzy logic, information and decision support systems and operations research in the Internet, didactics of OR and public understanding.

Forscher und Praktiker stellen in diesem Band ihre Studien und Erfahrungen aus dem Bereich der Pädagogik, Medienwissenschaft und angrenzender Disziplinen zusammen, entwickeln Vorschläge für den Einsatz digitaler Medien und Techniken für zeitgemäße Bildungs- und Lehrkonzepte und präsentieren ihre Best Practices.