Predictive Analytics For Mechanical Engineering A Beginners Guide
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Predictive Analytics For Mechanical Engineering A Beginners Guide
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Author : Parikshit N. Mahalle
language : en
Publisher: Springer Nature
Release Date : 2023-08-16
Predictive Analytics For Mechanical Engineering A Beginners Guide written by Parikshit N. Mahalle and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-16 with Technology & Engineering categories.
This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
Online Identity An Essential Guide
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Author : Rohit Raja
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-04-10
Online Identity An Essential Guide written by Rohit Raja and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Computers categories.
In today's digital age, having a strong online identity has become more important than ever. This book aims to explore the many facets of this topic, from the importance of building a positive digital presence to managing one's online reputation and privacy. We want to cover different aspects of online identity. This book will focus on the importance of online identity and how it can affect our personal and professional lives. We also want to provide strategies for building a strong and authentic online identity, including tips on how to curate social media profiles and manage privacy settings. The book will also delve into the concept of digital footprints and the implications of our online actions, explore online reputation management and how to maintain a positive online image, and analyze the impact of online identity on mental health, including the effects of cyberbullying and social comparison. Finally, the book will look into the future of online identity, exploring emerging technologies such as blockchain-based identity solutions and virtual reality environments. With practical tips and insightful analysis, this book hopes to become an essential guide for anyone looking to navigate the complexities of online identity in the digital age.
Perspectives On Digital Transformation In Contemporary Business
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Author : Albakri, Mohammed
language : en
Publisher: IGI Global
Release Date : 2024-11-27
Perspectives On Digital Transformation In Contemporary Business written by Albakri, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Business & Economics categories.
In today's society, the proliferation of digitization, digitalization, and digital transformation have played a significant role in reshaping society and business, in both public and private sectors. The advancement of intelligent systems has enabled organizations to streamline processes, increase efficiency, and broaden their reach. The adoption of Industry 4.0 technologies has hastened this transformation, resulting in unprecedented opportunities for growth and innovation. In today's hyperconnected world, businesses from a wide range of industries have used these technologies to improve operations, personalize customer experiences, and gain a competitive advantage. However, as technology evolves, it is not without challenges. These challenges must be addressed and mitigated before they escalate, as they can have serious economic, social, and technological consequences for individuals, businesses, governments, and society as a whole. Perspectives on Digital Transformation in Contemporary Business is an essential resource for navigating the complex landscape of digital transformation in business. The book delves into the evolution, trends, and challenges of digitalization, providing invaluable insights into key thematic areas such as the digital economy, digital education, digital entrepreneurship, and digital ethics. This book covers topics such as entrepreneurship, healthcare technology, and supply chains, and is a useful resource for business owners, policymakers, educators, researchers, technology professionals, and academicians.
Big Data Analytics In Smart Manufacturing
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Author : P Suresh
language : en
Publisher: CRC Press
Release Date : 2022-12-14
Big Data Analytics In Smart Manufacturing written by P Suresh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Computers categories.
The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners
An Introduction To Predictive Maintenance
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Author : R. Keith Mobley
language : en
Publisher: Elsevier
Release Date : 2002-10-24
An Introduction To Predictive Maintenance written by R. Keith Mobley and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-24 with Technology & Engineering categories.
This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly. Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available. Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity. - A comprehensive introduction to a system of monitoring critical industrial equipment - Optimize the availability of process machinery and greatly reduce the cost of maintenance - Provides the means to improve product quality, productivity and profitability of manufacturing and production plants
Python Programming Deep Learning
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Author : Anthony Adams
language : en
Publisher: Anthony Adams
Release Date : 2021-12-17
Python Programming Deep Learning written by Anthony Adams and has been published by Anthony Adams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-17 with Computers categories.
Easily Boost Your Skills In Python Programming & Become A Master In Deep Learning & Data Analysis! 💻 Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability with its notable use of significant whitespace. What makes Python so popular in the IT industry is that it uses an object-oriented approach, which enables programmers to write clear, logical code for all types of projects, whether big or small. Hone your Python Programming skills and gain a sharp edge over other programmers the EASIEST way possible... with this practical beginner’s guide! In his 3-in-1 Python crash course for beginners, Anthony Adams gives novices like you simple, yet efficient tips and tricks to become a MASTER in Python coding for artificial intelligence, neural networks, machine learning, and data science/analysis! Here’s what you’ll get: ✅ Highly innovative ways to boost your understanding of Python programming, data analysis, and machine learning ✅ Quickly and effectively stop fraud with machine learning ✅ Practical and efficient exercises that make understanding Python quick & easy And so much more! As a beginner, you might feel a bit intimidated by the complexities of coding. Add the fact that most Python Programming crash course guides make learning harder than it has to be! ✓ With the help of this 3-in-1 guide, you will be given carefully sequenced Python Programming lessons that’ll maximize your understanding, and equip you with all the skills for real-life application! ★ Thrive in the IT industry with this comprehensive Python Programming crash course! ★ Scroll up, Click on “Buy Now”, and Start Learning Today!
Applied Predictive Analytics
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Author : Dean Abbott
language : en
Publisher: John Wiley & Sons
Release Date : 2014-03-31
Applied Predictive Analytics written by Dean Abbott and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-31 with Computers categories.
Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
Physics For Beginners A Study Guide
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26
Physics For Beginners A Study Guide written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Science categories.
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Engineering Haptic Devices
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Author : Christian Hatzfeld
language : en
Publisher: Springer
Release Date : 2014-09-15
Engineering Haptic Devices written by Christian Hatzfeld and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-15 with Computers categories.
In this greatly reworked second edition of Engineering Haptic Devices the psychophysic content has been thoroughly revised and updated. Chapters on haptic interaction, system structures and design methodology were rewritten from scratch to include further basic principles and recent findings. New chapters on the evaluation of haptic systems and the design of three exemplary haptic systems from science and industry have been added. This book was written for students and engineers that are faced with the development of a task-specific haptic system. It is a reference book for the basics of haptic interaction and existing haptic systems and methods as well as an excellent source of information for technical questions arising in the design process of systems and components. Divided into two parts, part 1 contains typical application areas of haptic systems and a thorough analysis of haptics as an interaction modality. The role of the user in the design of haptic systems is discussed and relevant design and development stages are outlined. Part II presents all relevant problems in the design of haptic systems including general system and control structures, kinematic structures, actuator principles and sensors for force and kinematic measures. Further chapters examine interfaces and software development for virtual reality simulations.
Blockchain Big Data And Machine Learning
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Author : Neeraj Kumar
language : en
Publisher: CRC Press
Release Date : 2020-09-24
Blockchain Big Data And Machine Learning written by Neeraj Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Computers categories.
Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.