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Author: Avinash Konkani Publisher: Springer ISBN: 9811047626 Category : Technology & Engineering Languages : en Pages : 727
Book Description
This book comprises the select proceedings of the ETAEERE 2016 conference. The book aims to shed light on different systems or machines along with their complex operation, behaviors, and linear–nonlinear relationship in different environments. It covers problems of multivariable control systems and provides the necessary background for performing research in the field of control and automation. Aimed at helping readers understand the classical and modern design of different intelligent automated systems, the book presents coverage on the control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, real-time control applications, etc. The contents of this volume will prove useful to researchers and professionals alike.
Author: Celso Matos Publisher: Springer ISBN: 9783319629766 Category : Medical Languages : en Pages : 0
Book Description
This book presents the core principles and technical aspects of Diffusion Weighted Imaging (DWI), as well as pearls and pitfalls concerning the imaging technique’s application to the hepatobiliary system. All technical aspects and clinical applications discussed focus on the related anatomical region and its pathologies. Given that magnetic resonance physics is complex and can be cumbersome to learn, the volume editors and authors have made it as simple and practical as possible. Accordingly, tables related to technical details (imaging protocols, artefacts, and optimization techniques) are provided for each chapter. Though DWI is frequently used in the abdomen and pelvis, its clinical role is still evolving, especially for the diagnostic workup of oncologic patients. Although certain efforts have been undertaken to standardize and provide imaging guidelines for different clinical indications, the standardisation and clinical validation of quantitative DWI-related biomarkers are still works in progress. Addressing this gap, the book offers a useful tool for radiologists with a particular interest in abdominal radiology, as well as for radiology residents.
Author: Kevin P. Murphy Publisher: MIT Press ISBN: 0262369303 Category : Computers Languages : en Pages : 858
Book Description
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
Author: Avinash Konkani
Author: Celso Matos
Author: M. Krishnamacharya
Author: Kevin P. Murphy
Author: Amos Breskin