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Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and d...
This volume provides a cultural context for the philosophy of Giambattista Vico, and a detailed portrait of the intellectual scene of early-eighteenth century Naples.
Long neglected in the history of Renaissance and early modern Europe, in recent years scholars have revised received understanding of the political and economic significance of the city of Naples and its rich artistic, musical and political culture. Its importance in the history of science, however, has remained relatively unknown. The Science of Naples provides the first dedicated study of Neapolitan scientific culture in the English language. Drawing on contributions from leading experts in the field, this volume presents a series of studies that demonstrate Neapolitans’ manifold contributions to European scientific culture in the early modern period and considers the importance of the c...
Health emergencies that cause large numbers of traumatic injuries can result in surges of spinal cord injuries (SCI) in a short period of time, that can easily overwhelm health system capacities. Limited specialized services, lack of awareness or knowledge of SCI management and weak coordination mechanisms may lead to significant delays in appropriate care for patients who have sustained a SCI, resulting in preventable and potentially life-threatening complications. Correct initial management of patients with SCI is vital to long-term survival and quality of life. This document complements the guidance provided by the WHO EMT publication "Classification and minimum standards for emergency me...
The Encyclopedia of Organ includes articles on the organ family of instruments, including famous players, composers, instrument builders, the construction of the instruments, and related terminology. It is the first complete A-Z reference on this important family of keyboard instruments. The contributors include major scholars of music and musical instrument history from around the world.