Iot Based Data Analytics For The Healthcare Industry, Singh, Sanjay Kumar
Автор: Imriyas Kamardeen Название: Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications ISBN: 1138087459 ISBN-13(EAN): 9781138087453 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Нет в наличии. Описание: This book aims to apply data mining and analytic techniques to past workplace accident data to discover patterns that facilitate the development of innovative models and strategies.
Автор: Sujatha R., Aarthy S. L., Vettriselvan R. Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics ISBN: 0367466635 ISBN-13(EAN): 9780367466633 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.
Автор: Badiru Adedeji B. Название: Data Analytics: Handbook of Formulas and Techniques ISBN: 0367537419 ISBN-13(EAN): 9780367537418 Издательство: Taylor&Francis Рейтинг: Цена: 188850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Whoever has the data has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with a collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertips of readers.
Автор: Ryżko Dominik, Gawrysiak Piotr, Kryszkiewicz Marzena Название: Machine Intelligence and Big Data in Industry ISBN: 3319807781 ISBN-13(EAN): 9783319807782 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents valuable contributions devoted topractical applications of Machine Intelligence and Big Data in various branchesof the industry.
Название: Industry 4.0, ai, and data science ISBN: 0367562855 ISBN-13(EAN): 9780367562854 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed.
Автор: Bali Vikram, Bhatnagar Vishal, Aggarwal Deepti Название: Cyber-Physical, Iot, and Autonomous Systems in Industry 4.0 ISBN: 036770515X ISBN-13(EAN): 9780367705152 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses topics related to Internet of Things (IoT), Machine Learning, Cyber-Physical Systems, Cloud Computing and Autonomous Vehicles for Industry 4.0. It investigates challenges across multiple sectors, industries and considers Industry 4.0 for operations research and supply chain management.
Автор: Puig Vicenc, Simani Silvio Название: Diagnosis and Fault-Tolerant Control 1: Data-Driven and Model-Based Fault Diagnosis Techniques ISBN: 1789450586 ISBN-13(EAN): 9781789450583 Издательство: Wiley Рейтинг: Цена: 145670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, especially for those demanding systems that require reliability, availability, maintainability and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical.
Diagnosis and Fault-tolerant Control 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy.
The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing.
The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.
Автор: Ahmed Elngar, Ambika Pawar, Prathamesh Churi Название: Data Protection and Privacy in Healthcare ISBN: 0367501082 ISBN-13(EAN): 9780367501082 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Healthcare management has rapidly changed over the last few years from disease centered to patient centered. The analysis of healthcare data plays an important role in healthcare management, but the privacy of patient`s records must be of equal concern. This book covers the privacy issues and data protection laws in healthcare industries.
Wenn in Datenbergen wertvolle Geheimnisse schlummern, aus denen Profit erzielt werden soll, dann geht es um Big Data. Doch wie schpft man aus groen Daten echte Werte, wenn man nicht gerade Google ist? Um aus Unternehmens-, Maschinen- oder Sensordaten einen Ertrag zu erzielen, reicht Big Data-Technologie allein nicht aus. Entscheidend sind die bergeordneten Innovations prozesse: die smarte Analyse von Big Data. Erst durch den kompetenten Einsatz der richtigen Werkzeuge und Techniken werden aus Big Data tatschlich Smart Data.
Das Praxishandbuch Smart Data Analytics gibt einen berblick ber die Technologie, die bei der Analyse von groen und heterogenen Datenmengen - inklusive Echtzeitdaten - zum Einsatz kommt. Elf Praxisbeispiele zeigen die konkrete Anwendung in kleinen und mittelstndischen Unternehmen. So erfahren Sie, wie Sie Ihr Smart Data Analytics-Projekt in Ihrem eigenen Unternehmen vorbereiten und umsetzen knnen. Das Buch erlutert neben den organisatorischen Aspekten auch die rechtlichen Rahmenbedingungen. Und es zeigt, wie Sie sowohl den Nutzen bewerten knnen, der aus den Daten gezogen werden soll, als auch den Aufwand, den Sie dafr betreiben mssen. Denn Smart Data steht fr mehr als nur die Untersuchung groer Datenmengen: Smart Data Analytics ist der Schlssel zu einem smarten Umgang mit Ihren Unternehmensdaten und hilft, bislang unentdecktes Potenzial zu entdecken.
Dr. Andreas Wierse
studierte Mathematik und promovierte in den Ingenieurwissenschaften im Bereich Visualisierung, seit 2011 untersttzt er mittelstndische Unternehmen rund um Big und Smart Data Technologie.
Dr. Till Riedel
lehrt als Informatiker am KIT und koordiniert im Smart Data Solution Center Baden-Wrttemberg und Smart Data Innovation Lab Forschung und Innovation auf industriellen Datenschtzen.
Автор: Kumar R. Lakshmana, Indrakumari R., Balamurugan B. Название: Exploratory Data Analytics for Healthcare ISBN: 0367506912 ISBN-13(EAN): 9780367506919 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way.
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