Diagnosis Optimization Techniq

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Publisher : CRC Press
ISBN 13 : 9789056995959
Total Pages : 352 pages
Book Rating : 4.9/5 (959 download)

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Book Synopsis Diagnosis Optimization Techniq by : Leondes

Download or read book Diagnosis Optimization Techniq written by Leondes and published by CRC Press. This book was released on 1997-09-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of diagnosis optimization has been revolutionized by new techniques in powerful computations, image processing, and modalities such as computer-aided tomography (CAT) and magnetic resonance, among others. This series studies the marriage of computer capabilities and medical imaging, which exemplifies a significant manifestation of relatively recent, valuable technologies known as the second industrial revolution. Included are the in-depth treatments to fundamental problems in image restoration: blurring caused by the point-spread function and photon limited noise; statistical and structural techniques to delineate tumors, tissue types or organ systems; techniques to broaden the application of X-ray CAT in low-radiation dosage situations; current international reports on image restoration results and fundamental problems; accurately reconstructing images of the boundaries of organs involving both geometric and signal processing techniques; and the use of the mathematical models

Inductive Approaches to Improving Diagnosis and Design for Diagnosability

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Publisher :
ISBN 13 : 9781728959153
Total Pages : 32 pages
Book Rating : 4.9/5 (591 download)

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Book Synopsis Inductive Approaches to Improving Diagnosis and Design for Diagnosability by : National Aeronautics and Space Adm Nasa

Download or read book Inductive Approaches to Improving Diagnosis and Design for Diagnosability written by National Aeronautics and Space Adm Nasa and published by . This book was released on 2018-10-20 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first research area under this grant addresses the problem of classifying time series according to their morphological features in the time domain. A supervised learning system called CALCHAS, which induces a classification procedure for signatures from preclassified examples, was developed. For each of several signature classes, the system infers a model that captures the class's morphological features using Bayesian model induction and the minimum message length approach to assign priors. After induction, a time series (signature) is classified in one of the classes when there is enough evidence to support that decision. Time series with sufficiently novel features, belonging to classes not present in the training set, are recognized as such. A second area of research assumes two sources of information about a system: a model or domain theory that encodes aspects of the system under study and data from actual system operations over time. A model, when it exists, represents strong prior expectations about how a system will perform. Our work with a diagnostic model of the RCS (Reaction Control System) of the Space Shuttle motivated the development of SIG, a system which combines information from a model (or domain theory) and data. As it tracks RCS behavior, the model computes quantitative and qualitative values. Induction is then performed over the data represented by both the 'raw' features and the model-computed high-level features. Finally, work on clustering for operating mode discovery motivated some important extensions to the clustering strategy we had used. One modification appends an iterative optimization technique onto the clustering system; this optimization strategy appears to be novel in the clustering literature. A second modification improves the noise tolerance of the clustering system. In particular, we adapt resampling-based pruning strategies used by supervised learning systems to the task of simplifying hierarchical clusterings, thus making...

Essays and Surveys in Global Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0387255702
Total Pages : 294 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Essays and Surveys in Global Optimization by : Charles Audet

Download or read book Essays and Surveys in Global Optimization written by Charles Audet and published by Springer Science & Business Media. This book was released on 2005-12-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global optimization aims at solving the most general problems of deterministic mathematical programming: to find the global optimum of a nonlinear, nonconvex, multivariate function of continuous and/or integer variables subject to constraints which may be themselves nonlinear and nonconvex. In addition, once the solutions are found, proof of its optimality is also expected from this methodology. Therefore, with these difficulties in mind, global optimization is becoming an increasingly powerful and important methodology. Essays and Surveys in Global Optimization is the most recent examination of its mathematical capability, power, and wide ranging solutions to many fields in the applied sciences.

ATPG Based Diagnosis and Optimization Techniques

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Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.:/5 (976 download)

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Book Synopsis ATPG Based Diagnosis and Optimization Techniques by : Mandana Amiri

Download or read book ATPG Based Diagnosis and Optimization Techniques written by Mandana Amiri and published by . This book was released on 2001 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimization in Medicine

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Publisher : Springer Science & Business Media
ISBN 13 : 0387732993
Total Pages : 202 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Optimization in Medicine by : Carlos J. S. Alves

Download or read book Optimization in Medicine written by Carlos J. S. Alves and published by Springer Science & Business Media. This book was released on 2007-12-20 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a wide range of medical applications that can utilize mathematical computing. This work grew out of a workshop on optimization which was held during the 2005 CIM Thematic Term on Optimization in Coimbra, Portugal. It provides an overview of the state-of-the-art in optimization in medicine and will serve as an excellent reference for researchers in the medical computing community and for those working in applied mathematics and optimization.

Optimization Methods for Product and System Design

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Publisher : Springer Nature
ISBN 13 : 981991521X
Total Pages : 266 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Optimization Methods for Product and System Design by : Anand J. Kulkarni

Download or read book Optimization Methods for Product and System Design written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2023-06-11 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book provides a platform to discuss the state-of-the-art developments associated with traditional and advanced single-/multi-objective criteria optimization methods for addressing problems of performance enhancement of the products and systems design. The book in detail discusses the core ideas, underlying principles, mathematical formulations, critical reviews and experimentations, and solutions to complex problems from within the domains such as mechanical engineering design and manufacturing, fault detection and diagnosis, control systems, financial systems, machine learning in medical image processing as well as problems from operations research domain. It will serve as a valuable reference to academicians and industry practitioners involved in improving the efficiency, cost, performance, and durability of the products and systems. The chapters in this book may further give impetus to explore new avenues leading towards multidisciplinary research discussions associated with the resilience and sustainability of the existing systems.

Performance Optimization of Fault Diagnosis Methods for Power Systems

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Publisher : Springer Nature
ISBN 13 : 9811945780
Total Pages : 134 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Performance Optimization of Fault Diagnosis Methods for Power Systems by : Dinghui Wu

Download or read book Performance Optimization of Fault Diagnosis Methods for Power Systems written by Dinghui Wu and published by Springer Nature. This book was released on 2022-09-18 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the performance optimization of fault diagnosis methods for power systems including both model-driven ones, such as the linear parameter varying algorithm, and data-driven ones, such as random matrix theory. Studies on fault diagnosis of power systems have long been the focus of electrical engineers and scientists. Pursuing a holistic approach to improve the accuracy and efficiency of existing methods, the underlying concepts toward several algorithms are introduced and then further applied in various situations for fault diagnosis of power systems in this book. The primary audience for the book would be the scholars and graduate students whose research topics including the control theory, applied mathematics, fault detection, and so on.

Optimization Methods Applied to Power Systems

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Publisher : MDPI
ISBN 13 : 3039211560
Total Pages : 306 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Optimization Methods Applied to Power Systems by : Francisco G. Montoya

Download or read book Optimization Methods Applied to Power Systems written by Francisco G. Montoya and published by MDPI. This book was released on 2019-07-26 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Methods in Diagnosis Optimization

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Publisher :
ISBN 13 :
Total Pages : 366 pages
Book Rating : 4.:/5 (895 download)

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Book Synopsis Methods in Diagnosis Optimization by : Cornelius T. Leondes

Download or read book Methods in Diagnosis Optimization written by Cornelius T. Leondes and published by . This book was released on 2005 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Optimization Techniques in the Areas of Science and Management

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Publisher : CRC Press
ISBN 13 : 1000718530
Total Pages : 210 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Fuzzy Optimization Techniques in the Areas of Science and Management by : Santosh Kumar Das

Download or read book Fuzzy Optimization Techniques in the Areas of Science and Management written by Santosh Kumar Das and published by CRC Press. This book was released on 2022-10-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book helps to enhance the application of fuzzy logic optimization in the areas of science and engineering. It includes implementation and models and paradigms, such as path planning and routing design for different wireless networks, organization behavior strategies models, and so forth. It also: Explains inventory control management, uncertainties management, loss minimization, game optimization, data analysis and prediction, different decision-making system and management, and so forth Describes applicability of fuzzy optimization techniques in areas of science and management Resolves several issues based on uncertainty using member function Helps map different problems based on mathematical models Includes issues and problems based on linear and nonlinear optimizations Focuses on management science such as manpower management and inventory planning This book is aimed at researchers and graduate students in signal processing, power systems, systems and industrial engineering, and computer networks.

Fault Detection, Diagnosis and Prognosis

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Publisher : BoD – Books on Demand
ISBN 13 : 1789842131
Total Pages : 177 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Fault Detection, Diagnosis and Prognosis by : Fausto Pedro García Márquez

Download or read book Fault Detection, Diagnosis and Prognosis written by Fausto Pedro García Márquez and published by BoD – Books on Demand. This book was released on 2020-02-05 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the main concepts, state of the art, advances, and case studies of fault detection, diagnosis, and prognosis. This topic is a critical variable in industry to reach and maintain competitiveness. Therefore, proper management of the corrective, predictive, and preventive politics in any industry is required. This book complements other subdisciplines such as economics, finance, marketing, decision and risk analysis, engineering, etc. The book presents real case studies in multiple disciplines. It considers the main topics using prognostic and subdiscipline techniques. It is essential to link these topics with the areas of finance, scheduling, resources, downtime, etc. to increase productivity, profitability, maintainability, reliability, safety, and availability, and reduce costs and downtime. Advances in mathematics, modeling, computational techniques, dynamic analysis, etc. are employed analytically. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support the analysis of prognostic problems with defined constraints and requirements. The book is intended for graduate students and professionals in industrial engineering, business administration, industrial organization, operations management, applied microeconomics, and the decisions sciences, either studying maintenance or needing to solve large, specific, and complex maintenance management problems as part of their jobs. The work will also be of interest to researches from academia.

Optimization Methods Applied to Power Systems

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Publisher : MDPI
ISBN 13 : 3039211307
Total Pages : 382 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Optimization Methods Applied to Power Systems by : Francisco G. Montoya

Download or read book Optimization Methods Applied to Power Systems written by Francisco G. Montoya and published by MDPI. This book was released on 2019-07-26 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Model-based Fault Diagnosis Techniques

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Publisher : Springer Science & Business Media
ISBN 13 : 354076304X
Total Pages : 479 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Model-based Fault Diagnosis Techniques by : Steven X. Ding

Download or read book Model-based Fault Diagnosis Techniques written by Steven X. Ding and published by Springer Science & Business Media. This book was released on 2008-02-23 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms, and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers. This is a textbook with extensive examples and references. Most methods are given in the form of an algorithm that enables a direct implementation in a programme. Comparisons among different methods are included when possible.

Improving Diagnosis in Health Care

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Publisher : National Academies Press
ISBN 13 : 0309377722
Total Pages : 473 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Improving Diagnosis in Health Care by : National Academies of Sciences, Engineering, and Medicine

Download or read book Improving Diagnosis in Health Care written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2015-12-29 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

Advanced Combinatorial Optimization Techniques with Applications to Fault Diagnosis and Multiuser Detection

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (532 download)

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Book Synopsis Advanced Combinatorial Optimization Techniques with Applications to Fault Diagnosis and Multiuser Detection by : Fang Tu

Download or read book Advanced Combinatorial Optimization Techniques with Applications to Fault Diagnosis and Multiuser Detection written by Fang Tu and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bio-Inspired Optimization for Medical Data Mining

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Publisher : John Wiley & Sons
ISBN 13 : 1394214189
Total Pages : 340 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Bio-Inspired Optimization for Medical Data Mining by : Sumit Srivastava

Download or read book Bio-Inspired Optimization for Medical Data Mining written by Sumit Srivastava and published by John Wiley & Sons. This book was released on 2024-08-06 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare. Bio-Inspired Optimization for Medical Data Mining is a groundbreaking book that delves into the convergence of nature’s ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. Organized into 15 chapters, readers learn about the theoretical foundation of pragmatic implementation strategies and actionable advice. In addition, it addresses current developments in molecular subtyping and how they can enhance clinical care. By bridging the gap between cutting-edge technology and critical healthcare challenges, this book is a pivotal contribution, providing a roadmap for leveraging nature-inspired algorithms. In this book, the reader will discover Cutting-edge bio-inspired algorithms designed to optimize medical data processing, providing efficient and accurate solutions for complex healthcare challenges; How bio-inspired optimization can fine-tune diagnostic accuracy, leading to better patient outcomes and improved medical decision-making; How bio-inspired optimization propels healthcare into a new era, unlocking transformative solutions for medical data analysis; Practical insights and actionable advice on implementing bio-inspired optimization techniques and equipping effective real-world medical data scenarios; Compelling case studies illustrating how bio-inspired optimization has made a significant impact in the medical field, inspiring similar success stories. Audience This book is designed for a wide-ranging audience, including medical professionals, healthcare researchers, data scientists, and technology enthusiasts.

Advanced methods for fault diagnosis and fault-tolerant control

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Publisher : Springer Nature
ISBN 13 : 3662620049
Total Pages : 664 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Advanced methods for fault diagnosis and fault-tolerant control by : Steven X. Ding

Download or read book Advanced methods for fault diagnosis and fault-tolerant control written by Steven X. Ding and published by Springer Nature. This book was released on 2020-11-24 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant control from different aspects. Under the aspect of system types, fault diagnosis and fault-tolerant issues are dealt with for linear time-invariant and time-varying systems as well as for nonlinear and distributed (including networked) systems. From the methodological point of view, both model-based and data-driven schemes are investigated.To allow for a self-contained study and enable an easy implementation in real applications, the necessary knowledge as well as tools in mathematics and control theory are included in this book. The main results with the fault diagnosis and fault-tolerant schemes are presented in form of algorithms and demonstrated by means of benchmark case studies. The intended audience of this book are process and control engineers, engineering students and researchers with control engineering background.