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Spe Index


Spe Index
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Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images


Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images
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Author : Yakoub Bazi
language : en
Publisher: MDPI
Release Date : 2021-06-15

Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images written by Yakoub Bazi and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Science categories.


The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.



Diagnosis Fault Detection Tolerant Control


Diagnosis Fault Detection Tolerant Control
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Author : Nabil Derbel
language : en
Publisher: Springer Nature
Release Date : 2020-02-20

Diagnosis Fault Detection Tolerant Control written by Nabil Derbel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-20 with Technology & Engineering categories.


This book focuses on unhealthy cyber-physical systems. Consisting of 14 chapters, it discusses recognizing the beginning of the fault, diagnosing the appearance of the fault, and stopping the system or switching to a special control mode known as fault-tolerant control. Each chapter includes the background, motivation, quantitative development (equations), and case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.). Readers can easily tailor the techniques presented to accommodate their ad hoc applications.



Insall Scott Surgery Of The Knee E Book


Insall Scott Surgery Of The Knee E Book
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Author : W. Norman Scott
language : en
Publisher: Elsevier Health Sciences
Release Date : 2017-02-10

Insall Scott Surgery Of The Knee E Book written by W. Norman Scott and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-10 with Medical categories.


Insall & Scott Surgery of the Knee by Dr. W. Norman Scott remains the definitive choice for guidance on the most effective approaches for the diagnosis and management of the entire scope of knee disorders. This edition reflects a complete content overhaul, with more than 50 new chapters and over 400 contributors from around the world. The video program includes 70 new video clips, while new and expanded material covers a range of hot topics, including same-day surgery and hospital management of knee arthroplasty patients and anesthesia specific for knee surgery. - Extensive visual elements and video program include nearly 70 new videos -- over 230 in total – as well as a Glossary of Implants featuring 160 demonstrative pictures. - Over 50 new chapters and brand-new sections on Same Day Surgery and Hospital Management of Knee Arthroplasty Patients; Quality and Payment Paradigms for TKA; Anesthesia Specific for Knee Surgery; and Preoperative Assessment, Perioperative Management, and Postoperative Pain Control. - An expanded Adult Reconstruction Section informs readers about Enhanced Primary Revision and the treatment of Peri-prosthetic fractures in TKA. - Includes enhanced worldwide approaches for all aspects of disorders of the knee from nearly 400 contributors worldwide. - Boasts updated pediatric knee considerations and updated tumor surgery principles for the treatment of tumors about the knee. - Expert Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, images, videos (including video updates), glossary, and references from the book on a variety of devices.



Fault Diagnosis Of Dynamic Systems


Fault Diagnosis Of Dynamic Systems
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Author : Teresa Escobet
language : en
Publisher: Springer
Release Date : 2019-06-22

Fault Diagnosis Of Dynamic Systems written by Teresa Escobet and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-22 with Technology & Engineering categories.


Fault Diagnosis of Dynamic Systems provides readers with a glimpse into the fundamental issues and techniques of fault diagnosis used by Automatic Control (FDI) and Artificial Intelligence (DX) research communities. The book reviews the standard techniques and approaches widely used in both communities. It also contains benchmark examples and case studies that demonstrate how the same problem can be solved using the presented approaches. The book also introduces advanced fault diagnosis approaches that are currently still being researched, including methods for non-linear, hybrid, discrete-event and software/business systems, as well as, an introduction to prognosis. Fault Diagnosis of Dynamic Systems is valuable source of information for researchers and engineers starting to work on fault diagnosis and willing to have a reference guide on the main concepts and standard approaches on fault diagnosis. Readers with experience on one of the two main communities will also find it useful to learn the fundamental concepts of the other community and the synergies between them. The book is also open to researchers or academics who are already familiar with the standard approaches, since they will find a collection of advanced approaches with more specific and advanced topics or with application to different domains. Finally, engineers and researchers looking for transferable fault diagnosis methods will also find useful insights in the book.



Data Driven Fault Diagnosis For Complex Industrial Processes


Data Driven Fault Diagnosis For Complex Industrial Processes
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Author : Hongpeng Yin
language : en
Publisher: Springer Nature
Release Date : 2025-05-17

Data Driven Fault Diagnosis For Complex Industrial Processes written by Hongpeng Yin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Technology & Engineering categories.


This book summarizes techniques of fault prediction, detection, and identification, all included specifically in the data-driven fault diagnosis requirements within industrial processes, drawing from the combination of data science, machine learning, and domain-specific expertise. In the modern industrial processes, where efficiency, productivity, and safety stand as paramount pillars, the pursuit of fault diagnosis has become more crucial than ever. The widespread use of computer systems, along with new sensor hardware, generates significant quantities of real-time process data. It has been frequently asked what could be done with both the real-time and archived historical data, to not only promising efficiency but providing prospect of a brighter, more resilient future. This book starts with the definition, related work, and open test-bed for industrial process fault diagnosis. Then, it presents several data-driven methods on fault prediction, fault detection, and fault diagnosis, with consideration of properties of industrial processes, such as varying operation modes, non-Gaussian, nonlinearity. It distills cutting-edge methodologies and insights which may inspire for industrial practitioners, researchers, and academicians alike.



Advanced Anomaly Detection Technologies And Applications In Energy Systems


Advanced Anomaly Detection Technologies And Applications In Energy Systems
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Author : Tinghui Ouyang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-02-17

Advanced Anomaly Detection Technologies And Applications In Energy Systems written by Tinghui Ouyang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Technology & Engineering categories.


Anomaly detection is an important topic which has been well‐studied in diverse research areas and application domains. It generally involves detection of abnormal data, unhealthy status, fault diagnosis, and can be helpful to guarantee industrial systems’ stability, security, and economy. As development of intelligent industries and sensor systems grows, large amounts of data become easily available, and challenges arise in industrial systems’ anomaly detection. One typical case is the study within energy‐related systems, like thermal energy, renewable energy study (e.g., wind energy, photovoltaic), electric vehicles, and so on. These systems can involve various data formats and more complex data structures making anomaly data detection a challenge. Currently, under the development of deep learning and big data analytics, many promising results have been achieved in energy systems’ anomaly data detection. However, many challenging problems remain unsolved due to the complex nature of energy industries. New techniques and advanced engineering applications on anomaly detection in energy systems still appeal to a wide range of scholars and industries.



International Seminar On Nuclear War And Planetary Emergencies 42nd Session


International Seminar On Nuclear War And Planetary Emergencies 42nd Session
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Author : Richard C Ragaini
language : en
Publisher: World Scientific
Release Date : 2010-07-23

International Seminar On Nuclear War And Planetary Emergencies 42nd Session written by Richard C Ragaini and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-23 with Science categories.


The Erice International Seminars are multidisciplinary seminars attended by over 100 eminent participants from all fields of Science. Each year, a few scientific issues are selected and experts are invited to present contrasting views during the plenary multidisciplinary sessions of the Seminar, followed by general debates. These sessions offer a unique opportunity for specialists to enlarge their fields of vision by being confronted to the ideas and suggestions from high level scientists in complementary domains of science. Associated workshops allow the experts to further refine and process the ideas evoked during the seminar. This year's topics are focused on the World Energy Crisis and more specifically on the Essential Technologies for Moderating Climate Change and Improving Energy Security and for Energy & Limits of Development. We also concentrated on Managing the Challenges of Climate Change, Energy Security and Pollution in Asian Countries. On Global Monitoring of the Planet we have focused on the Climate Change issues and specifically on the Sensitivity of Climate to Additional CO2 as indicated by Water Cycle Feedback Issues, Climate Uncertainties Addressed by Satellites, and the Basic Mathematics Needed for All Models. In Information Security we focused on Cyber Conflict and Cyber Stability. For Pollution and Medicine we focused on the Revolution in the Environmental Health Sciences and the Emergence of Green Chemistry.



Proceedings Of The Fifth International Technical Symposium On Deepwater Oil And Gas Engineering


Proceedings Of The Fifth International Technical Symposium On Deepwater Oil And Gas Engineering
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Author : Baojiang Sun
language : en
Publisher: Springer Nature
Release Date : 2024-03-23

Proceedings Of The Fifth International Technical Symposium On Deepwater Oil And Gas Engineering written by Baojiang Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-23 with Technology & Engineering categories.


This book is a compilation of selected papers from the Fifth International Technical Symposium on Deepwater Oil and Gas Engineering and the Fourth International Youth Forum on Gas Hydrate (DWOG-Hyd 2023), held in Qingdao, China, in October 2023. The book focuses on the advancement of techniques for the deepwater oil and gas exploitation and natural gas hydrate exploitation. The book introduces new ideas for exploring deepwater oil, gas and hydrate in a safe and efficient way. Advances of the deepwater oil, gas and hydrate drilling and production in South China Sea, in oil and gas flow assurance and emerging technologies based on clathrate hydrate will be presented. It is a valuable resource for both practitioners and academics working in the field of deepwater oil and gas engineering.



Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research


Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research
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Author : Chao Shang
language : en
Publisher: Springer
Release Date : 2018-02-22

Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research written by Chao Shang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-22 with Technology & Engineering categories.


This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.



Data Driven And Model Based Methods For Fault Detection And Diagnosis


Data Driven And Model Based Methods For Fault Detection And Diagnosis
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Author : Majdi Mansouri
language : en
Publisher: Elsevier
Release Date : 2020-02-05

Data Driven And Model Based Methods For Fault Detection And Diagnosis written by Majdi Mansouri and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-05 with Technology & Engineering categories.


Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. - Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) - Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection - Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection - Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches - Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data