Intelligent Data Analytics For Power Apparatus Health Monitoring

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Intelligent Data Analytics for Power Apparatus Health Monitoring

Author : Hasmat Malik
Publisher : Academic Press
ISBN 13 : 9780323917797
Total Pages : 0 pages
Book Rating : 4.9/5 (177 download)

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Book Synopsis Intelligent Data Analytics for Power Apparatus Health Monitoring by : Hasmat Malik

Download or read book Intelligent Data Analytics for Power Apparatus Health Monitoring written by Hasmat Malik and published by Academic Press. This book was released on 2023-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Analytics for Power Apparatus Health Monitoring: AI and Machine Learning Paradigms reviews key implementations of machine learning and data analytics techniques for the optimization of digital power transformers. The work addresses health monitoring fully across the constitutive structure of modern transformers, with coverage of DGA-based intelligent data analytics, transformer winding, bushing and arrestor health monitoring, core, conservator, and tank and cooling systems. Chapters address advanced AI/ML methods including deep convolutional neural network, fuzzy reinforcement learning, modified fuzzy Q learning, gene expression programming, extreme-learning machine, and much more. Primarily intended for researchers and practitioners, the book speeds and simplifies the diagnosis and resolution of health and condition monitoring queries using advanced techniques, particularly with the goal of improved performance, reduced cost, optimized customer behavior and satisfaction, and ultimately increased profitability.

Intelligent Data-Analytics for Condition Monitoring

Author : Hasmat Malik
Publisher : Academic Press
ISBN 13 : 0323855113
Total Pages : 272 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Intelligent Data-Analytics for Condition Monitoring by : Hasmat Malik

Download or read book Intelligent Data-Analytics for Condition Monitoring written by Hasmat Malik and published by Academic Press. This book was released on 2021-02-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more. This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems. Features deep learning methodologies in smart grid deployment and maintenance applications Includes coding for intelligent data analytics for each application Covers advanced problems and solutions of smart grids using advance data analytic techniques

Intelligent Data Analytics for Power and Energy Systems

Author : Hasmat Malik
Publisher : Springer Nature
ISBN 13 : 9811660816
Total Pages : 649 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Data Analytics for Power and Energy Systems by : Hasmat Malik

Download or read book Intelligent Data Analytics for Power and Energy Systems written by Hasmat Malik and published by Springer Nature. This book was released on 2022-02-17 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

AI and Machine Learning Paradigms for Health Monitoring System

Author : Hasmat Malik
Publisher : Springer Nature
ISBN 13 : 9813344121
Total Pages : 513 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis AI and Machine Learning Paradigms for Health Monitoring System by : Hasmat Malik

Download or read book AI and Machine Learning Paradigms for Health Monitoring System written by Hasmat Malik and published by Springer Nature. This book was released on 2021-02-14 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.

IoT-Based Data Analytics for the Healthcare Industry

Author : Sanjay Kumar Singh
Publisher : Academic Press
ISBN 13 : 0128214767
Total Pages : 342 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis IoT-Based Data Analytics for the Healthcare Industry by : Sanjay Kumar Singh

Download or read book IoT-Based Data Analytics for the Healthcare Industry written by Sanjay Kumar Singh and published by Academic Press. This book was released on 2020-11-07 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Provides state-of-art methods and current trends in data analytics for the healthcare industry Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques Discusses several potential AI techniques developed using IoT for the healthcare industry Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Intelligent Data Mining and Analysis in Power and Energy Systems

Author : Zita A. Vale
Publisher : John Wiley & Sons
ISBN 13 : 1119834023
Total Pages : 500 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Intelligent Data Mining and Analysis in Power and Energy Systems by : Zita A. Vale

Download or read book Intelligent Data Mining and Analysis in Power and Energy Systems written by Zita A. Vale and published by John Wiley & Sons. This book was released on 2022-12-13 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Mining and Analysis in Power and Energy Systems A hands-on and current review of data mining and analysis and their applications to power and energy systems In Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, the editors assemble a team of distinguished engineers to deliver a practical and incisive review of cutting-edge information on data mining and intelligent data analysis models as they relate to power and energy systems. You’ll find accessible descriptions of state-of-the-art advances in intelligent data mining and analysis and see how they drive innovation and evolution in the development of new technologies. The book combines perspectives from authors distributed around the world with expertise gained in academia and industry. It facilitates review work and identification of critical points in the research and offers insightful commentary on likely future developments in the field. It also provides: A thorough introduction to data mining and analysis, including the foundations of data preparation and a review of various analysis models and methods In-depth explorations of clustering, classification, and forecasting Intensive discussions of machine learning applications in power and energy systems Perfect for power and energy systems designers, planners, operators, and consultants, Intelligent Data Mining and Analysis in Power and Energy Systems will also earn a place in the libraries of software developers, researchers, and students with an interest in data mining and analysis problems.

Big Data Analytics in Future Power Systems

Author : Ahmed F. Zobaa
Publisher : CRC Press
ISBN 13 : 1351601296
Total Pages : 174 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Big Data Analytics in Future Power Systems by : Ahmed F. Zobaa

Download or read book Big Data Analytics in Future Power Systems written by Ahmed F. Zobaa and published by CRC Press. This book was released on 2018-08-14 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids. Provide a general description and definition of big data, which has been gaining significant attention in the research community. Introduces a comprehensive overview of big data optimization methods in power system. Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks. Presents applications in power systems, such as power flow and protection. Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.

Big data analytics for smart healthcare applications

Author : Celestine Iwendi
Publisher : Frontiers Media SA
ISBN 13 : 2832515754
Total Pages : 1365 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Big data analytics for smart healthcare applications by : Celestine Iwendi

Download or read book Big data analytics for smart healthcare applications written by Celestine Iwendi and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 1365 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Electromagnetic Analysis and Condition Monitoring of Synchronous Generators

Author : Jawad Faiz
Publisher : John Wiley & Sons
ISBN 13 : 1119636078
Total Pages : 708 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Electromagnetic Analysis and Condition Monitoring of Synchronous Generators by : Jawad Faiz

Download or read book Electromagnetic Analysis and Condition Monitoring of Synchronous Generators written by Jawad Faiz and published by John Wiley & Sons. This book was released on 2022-12-28 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electromagnetic Analysis and Condition Monitoring of Synchronous Generators Discover an insightful and complete overview of electromagnetic analysis and fault diagnosis in large synchronous generators In Electromagnetic Analysis and Condition Monitoring of Synchronous Generators, a team of distinguished engineers delivers a comprehensive review of the electromagnetic analysis and fault diagnosis of synchronous generators. Beginning with an introduction to several types of synchronous machine structures, the authors move on to the most common faults found in synchronous generators and their impacts on performance. The book includes coverage of different modeling tools, including the finite element method, winding function, and magnetic equivalent circuit, as well as various types of health monitoring systems focusing on the magnetic field, voltage, current, shaft flux, and vibration. Finally, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators covers signal processing tools that can help identify hidden patterns caused by faults and machine learning tools enabling automated condition monitoring. The book also includes: A thorough introduction to condition monitoring in electric machines and its importance to synchronous generators Comprehensive explorations of the classification of synchronous generators, including armature arrangement, machine construction, and applications Practical discussions of different types of electrical and mechanical faults in synchronous generators, including short circuit faults, eccentricity faults, misalignment, core-related faults, and broken damper bar faults In-depth examinations of the modeling of healthy and faulty synchronous generators, including analytical and numerical methods Perfect for engineers working in electrical machine analysis, maintenance, and fault detection, Electromagnetic Analysis and Condition Monitoring of Synchronous Generators is also an indispensable resource for professors and students in electrical power engineering.

Advances in Data Science and Intelligent Data Communication Technologies for COVID-19

Author : Aboul-Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030773027
Total Pages : 311 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 by : Aboul-Ella Hassanien

Download or read book Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2021-07-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.

Data Science and Big Data: An Environment of Computational Intelligence

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319534742
Total Pages : 303 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Science and Big Data: An Environment of Computational Intelligence by : Witold Pedrycz

Download or read book Data Science and Big Data: An Environment of Computational Intelligence written by Witold Pedrycz and published by Springer. This book was released on 2017-03-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Intelligent Data Analysis

Author : Deepak Gupta
Publisher : John Wiley & Sons
ISBN 13 : 1119544440
Total Pages : 432 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Intelligent Data Analysis by : Deepak Gupta

Download or read book Intelligent Data Analysis written by Deepak Gupta and published by John Wiley & Sons. This book was released on 2020-04-17 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Knowledge Modelling and Big Data Analytics in Healthcare

Author : Mayuri Mehta
Publisher : CRC Press
ISBN 13 : 1000477762
Total Pages : 362 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Knowledge Modelling and Big Data Analytics in Healthcare by : Mayuri Mehta

Download or read book Knowledge Modelling and Big Data Analytics in Healthcare written by Mayuri Mehta and published by CRC Press. This book was released on 2021-12-09 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.

Big Data Application in Power Systems

Author : Reza Arghandeh
Publisher : Elsevier
ISBN 13 : 0128119691
Total Pages : 480 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Big Data Application in Power Systems by : Reza Arghandeh

Download or read book Big Data Application in Power Systems written by Reza Arghandeh and published by Elsevier. This book was released on 2017-11-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. Provides expert analysis of the latest developments by global authorities Contains detailed references for further reading and extended research Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data

Cognitive Internet of Medical Things for Smart Healthcare

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030558339
Total Pages : 227 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Cognitive Internet of Medical Things for Smart Healthcare by : Aboul Ella Hassanien

Download or read book Cognitive Internet of Medical Things for Smart Healthcare written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-10-19 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.

Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis

Author : Stanisław Kozielski
Publisher : Springer
ISBN 13 : 3030190935
Total Pages : 372 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis by : Stanisław Kozielski

Download or read book Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis written by Stanisław Kozielski and published by Springer. This book was released on 2019-05-07 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2019, held in Ustroń, Poland, in May 2019. It consists of 26 carefully reviewed papers selected from 69 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing and analysis; artificial intelligence, data mining and knowledge discovery; image analysis and multimedia mining; bioinformatics and biomedical data analysis; industrial applications; networks and security.