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Theory of Graded-Bandgap Thin-Film Solar Cells - Akhlesh Lakhtakia - Bog - Springer International Publishing AG - Plusbog.dk

Inspection of Medical Devices - - Bog - Springer International Publishing AG - Plusbog.dk

Inspection of Medical Devices - - Bog - Springer International Publishing AG - Plusbog.dk

This comprehensive guide invites nations worldwide to embark on a transformative journey, implementing independent third-party verification systems that ensure medical devices comply with both international and national regulations. Prepare to be captivated as we delve into the intricate processes, unveil essential procedures, and illuminate the paramount importance of establishing traceability for medical device measurements. Imagine a world where medical devices undergo rigorous independent safety and performance verification, guaranteeing the utmost reliability for patient diagnoses and treatment. This book takes you on a compelling exploration of precisely that vision. Focusing on cutting-edge diagnostic and therapeutic devices, it captures the very essence of the latest international directives and regulations, ensuring you stay ahead of the curve. This new edition goes beyond the conventional, delving into the realms of innovation and progress. Unveiling in-depth maintenance regimes within healthcare institutions, we provide you with invaluable insights into post-market surveillance. As the world embraces the transformative potential of artificial intelligence, we pave the way for evidence-based management of medical device maintenance—a concept poised to reshape the healthcare landscape. Imagine a future where medical devices are seamlessly integrated into the legal metrology system, while fully operational national laboratories for medical device inspection set new standards of excellence. This book vividly illustrates how such a powerful union can elevate the reliability of medical devices in diagnosis and patient care. Brace yourself for a paradigm shift that not only enhances efficacy but also leads to significant cost reductions within your country's healthcare system. Join us on this extraordinary journey as we unveil the untapped potential of medical device inspection. With our innovative approach and unrivaled expertise, together we can revolutionize healthcare, transforming the lives of countless patients worldwide. Get ready to be inspired, informed, and empowered—welcome to the future of healthcare!

DKK 986.00
1

Security in Smart Home Networks - Xuemin Shen - Bog - Springer International Publishing AG - Plusbog.dk

Silicon Valley Cybersecurity Conference - - Bog - Springer International Publishing AG - Plusbog.dk

Clinical Image-Based Procedures. Translational Research in Medical Imaging - - Bog - Springer International Publishing AG - Plusbog.dk

Computer-Assisted and Robotic Endoscopy - - Bog - Springer International Publishing AG - Plusbog.dk

Nanophotonics and Machine Learning - Kan Yao - Bog - Springer International Publishing AG - Plusbog.dk

Computer-Assisted and Robotic Endoscopy - - Bog - Springer International Publishing AG - Plusbog.dk

The Fall and Rise of National Interest - Serena Giusti - Bog - Springer International Publishing AG - Plusbog.dk

Advanced Data Mining and Applications - - Bog - Springer International Publishing AG - Plusbog.dk

Advanced Digital System Design using SoC FPGAs - Ross K. Snider - Bog - Springer International Publishing AG - Plusbog.dk

Advanced Data Mining and Applications - - Bog - Springer International Publishing AG - Plusbog.dk

Machine Learning for Indoor Localization and Navigation - - Bog - Springer International Publishing AG - Plusbog.dk

Machine Learning for Indoor Localization and Navigation - - Bog - Springer International Publishing AG - Plusbog.dk

While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve theaccuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book:Provides comprehensive coverage of the application of machine learning to the domain of indoor localization;Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization;Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions.

DKK 967.00
1

Machine Learning for Indoor Localization and Navigation - - Bog - Springer International Publishing AG - Plusbog.dk

Machine Learning for Indoor Localization and Navigation - - Bog - Springer International Publishing AG - Plusbog.dk

While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve theaccuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book:Provides comprehensive coverage of the application of machine learning to the domain of indoor localization;Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization;Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions.

DKK 689.00
1

Additive Manufacturing with Metals - Sanjay Joshi - Bog - Springer International Publishing AG - Plusbog.dk

Understanding Cybersecurity on Smartphones - Andi Fitriah Abdul Kadir - Bog - Springer International Publishing AG - Plusbog.dk

Current Trends in Web Engineering - - Bog - Springer International Publishing AG - Plusbog.dk

Electronic Measurements - Farzin Asadi - Bog - Springer International Publishing AG - Plusbog.dk

Electronic Measurements - Farzin Asadi - Bog - Springer International Publishing AG - Plusbog.dk

Measurement is the process of obtaining the magnitude of a quantity relative to an agreed standard. Electronic measurement, which is the subject of this book, is the measurement of electronic quantities like voltage, current, resistance, inductance, and capacitance, to name a few.This book provides practical information concerning the techniques in electronic measurements and knowledge on how to use the electronic measuring instruments appropriately. The book is composed of five chapters.Chapter 1 focuses on digital multimeters. You will learn how to use it for measurement of AC/DC voltages/currents, resistance, connection test, and diode forward voltage drop test.Chapter 2 focuses on power supplies. Although power supplies are not a measurement device, they have an undeniable role in many measurements. So, being able to use power supplies correctly is quite important.Chapter 3 focuses on function generators. Like the power supplies, the function generators are not a measurement device in the first look. However, they play a very important role in many electronic measurements. So, being able to use a function generator correctly is an important skill any technician or engineer needs.Chapter 4 focuses on oscilloscopes. These days, digital oscilloscopes are the most commonly used tool in both industry and university. Because of this, this chapter focuses on digital oscilloscopes not on the analog ones which are almost obsolete.Chapter 5 focuses on drawing graph of data you obtained from your measurement. Visualization of data is very important in practical works. This chapter show how you can use MATLAB® for drawing the graph of your measurements.This book could be used a laboratory supplement for students of electrical/mechanical/mechatronics engineering, for technicians in the field of electrical/electronics engineering, and for anyone who is interested to make electronic circuits.

DKK 476.00
1