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The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced con...
The leading reference text entirely devoted to this increasinglysignificant condition This text is dedicated to Barrett’s esophagus and providesrecent evidence and current approaches to patient management. Ithas been completely revised, updated and extended to include thelatest research findings and describes how these affect day-to-dayclinical practice. It includes seven new chapters and even more color images thanthe last edition. Each chapter, written by the leadinginternational experts in the field, provides clear, didacticguidance on diagnosis, treatment and management of thiscondition. Barrett’s Espohagus gives an extensive overviewcovering epidemiology, screening, pathology, gastroenterology andsurgery. It looks at the precursor lesions leading to thedevelopment of Barrett’s epithelium, the uniquecharacteristics of Barrett’s esophagus, and the consequencesof malignant degeneration. All aspects of diagnosis, secondaryprevention, multimodality, and medical and surgical treatment areclearly explained. This is a complete guide on the latest thinking on diagnosis andtreatment of Barrett’s esophagus which can be referred toover and over again.
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This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 2 comprises 42 chapters, which specifically address topics connected to statistical and stochastic methods in control engineering applications, to optimization and quantum computing, to biological, medical, and ecological systems, to new applications of artificial intelligence and machine learning in automated and connected vehicles, to design and control of autonomous marine, robotics, and vehicles systems, and to other modern topics. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.
This title is the first comprehensive book on sampling and modern sample preparation techniques and has several main objectives: to facilitate recognition of sample preparation as both an integral part of the analytical process; to present a fundamental basis and unified theoretical approach for the professional development of sample preparation; to emphasize new developments in sample preparation technology; and to highlight the future impact of sample preparation on new directions in analytical science, particularly automation, miniaturization and field implementation. Until recently, there has been relatively little scientific interest in sampling and sample preparation, however this situ...
Since it was first published in 1995, Photonic Crystals has remained the definitive text for both undergraduates and researchers on photonic band-gap materials and their use in controlling the propagation of light. This newly expanded and revised edition covers the latest developments in the field, providing the most up-to-date, concise, and comprehensive book available on these novel materials and their applications. Starting from Maxwell's equations and Fourier analysis, the authors develop the theoretical tools of photonics using principles of linear algebra and symmetry, emphasizing analogies with traditional solid-state physics and quantum theory. They then investigate the unique phenom...
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Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducin...
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