Remote Health Monitoring For Asset Management
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Remote Health Monitoring For Asset Management
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Author : Glenn A. Washer
language : en
Publisher:
Release Date : 2008
Remote Health Monitoring For Asset Management written by Glenn A. Washer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Bridges categories.
Remote Health Monitoring For Asset Management
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Author : Glenn A. Washer
language : en
Publisher:
Release Date : 2008
Remote Health Monitoring For Asset Management written by Glenn A. Washer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Bridges categories.
Remote Health Monitoring For Asset Management
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Author :
language : en
Publisher:
Release Date : 2009
Remote Health Monitoring For Asset Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Bridges categories.
Future Of Ai In Medical Imaging
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Author : Sharma, Avinash Kumar
language : en
Publisher: IGI Global
Release Date : 2024-03-11
Future Of Ai In Medical Imaging written by Sharma, Avinash Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Computers categories.
Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.
Feasibility Study For A Freeway Corridor Infrastructure Health Monitoring Hm Instrumentation Testbed
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Author :
language : en
Publisher:
Release Date : 2012
Feasibility Study For A Freeway Corridor Infrastructure Health Monitoring Hm Instrumentation Testbed written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Bridges categories.
This research report discusses the planning necessary for the proper development, acquisition, installation, and maintenance of an effective health monitoring network for transportation infrastructure systems. A comprehensive literature search was conducted, and the materials were compiled into a database, reviewed, and synthesized. Data elements vital for maintaining safe and functional transportation infrastructures were identified and discussed for bridge structures, pavements, and geotechnical structures. Moreover, the steps necessary for planning an instrumentation system for a particular structure are presented. Sample design plans for the transportation infrastructure systems that are typically constructed in Wisconsin were obtained from WisDOT, and suggested instrumentation plans were developed for these transportation systems. One of the objectives of the research project is to identify urban freeway construction projects that could efficiently serve as hosts for an infrastructure health monitoring (IHM) instrumentation testbed. Major current and near-future construction projects in Wisconsin were identified and critically evaluated to identify a candidate project to host the IHM testbed. Among the candidates, the Zoo Interchange reconstruction project is recommended for hosting the infrastructure health monitoring testbed. Cost estimates based on current market prices are provided for the instrumentation plans developed for IHM of bridge structures, pavements, and geotechnical structures. To provide an example of using IHM data in applications, archived data from the Marquette Interchange instrumentation project was used to develop vehicle wander patterns and load spectra data, both in the form needed to conduct a mechanistic appraisal of the pavement structure using the DARWin ME software. The research team designed and conducted an IHM survey of state highway agencies in the U.S. and Canada. The survey showed that 46 percent of state DOTs have implemented health monitoring applications for transportation infrastructure. The survey also identified the impediments facing state DOTs in implementing IHM systems.
Advanced Iot Technologies And Applications In The Industry 4 0 Digital Economy
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Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2024-02-27
Advanced Iot Technologies And Applications In The Industry 4 0 Digital Economy written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Technology & Engineering categories.
The application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market. Within this book, the reader will learn how to implement IoT devices, IoT-equipped machines, and AI-equipped IoT applications using models and methodologies along with an array of case studies. Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy covers the basics of IoT-equipped machines in developing and managing various activities in many industries. It discusses all of the key points of an AI-enabled IoT solution, which includes predictive analytics, robotic process automation, predictive maintenance, automated processes, IoT technologies and IoT-equipped sensors related to machines and processes, production testing systems, and product assessment processes in the production environment. The book presents the concepts and interactive methods using datasets, processing workflow charts, and architectural diagrams along with additional real-time systems for easy and fast understanding of the application of IoT-equipped machines and AI-enabled solutions in organizations and includes many case studies throughout the book to enforce reader comprehension. This book is an ideal read for industry specialists, practitioners, researchers, scientists, and engineers working or involved in the fields of Robotics, IT, Computer Science, Soft Computing, IoT, AL/ML/DL, Data Science, the Semantic Web, Knowledge Engineering, and other related fields.
Ai And Iot Based Technologies For Precision Medicine
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2023-10-18
Ai And Iot Based Technologies For Precision Medicine written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-18 with Medical categories.
In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.
Revolutionizing Automated Waste Treatment Systems Iot And Bioelectronics
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2024-05-29
Revolutionizing Automated Waste Treatment Systems Iot And Bioelectronics written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-29 with Technology & Engineering categories.
As the world grapples with pressing environmental challenges, the need for sustainable solutions has never been more urgent. From climate change to resource depletion, our planet faces unprecedented threats that require immediate action. Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics emerge as a beacon of hope, offering comprehensive insights and practical guidance to address these critical issues. By delving into the principles and applications of green technologies, this book presents a roadmap towards a greener, more sustainable future. Recognizing the essential role that green technologies play in mitigating environmental degradation, this book emphasizes concepts such as smart technologies, bioelectronics, and the internet of things. It also illustrates how these innovations can be leveraged to create a more sustainable world. Readers will be educated on the importance of adopting these technologies, and the book provides actionable strategies for implementation. Use this impressive resource to grasp a more holistic approach to environmental sustainability, from designing green infrastructure to managing water resources.
Aiot And Smart Sensing Technologies For Smart Devices
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Author : Al-Turjman, Fadi
language : en
Publisher: IGI Global
Release Date : 2024-02-07
Aiot And Smart Sensing Technologies For Smart Devices written by Al-Turjman, Fadi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-07 with Technology & Engineering categories.
The rapid advancement of IoT and smart technologies poses significant challenges for academic scholars, including meeting new requirements such as reliability, quality of service, and energy efficiency. AIoT and Smart Sensing Technologies for Smart Devices, edited by Fadi ALTURJMAN, offers an invaluable solution by serving as a knowledge hub that brings together diverse research and professional contributions. This comprehensive book enables scholars to delve into topics like IoT-oriented applications, sustainable development, machine learning, and wireless networks, providing the necessary insights to navigate the complexities of IoT and smart technologies. Targeted at experts, researchers, and students, this book equips readers with the understanding needed to tackle the challenges in this dynamic field. Covering areas such as IoT paradigms, network security, machine learning approaches, and wireless network protocols, it serves as a guide for unlocking the potential of AIoT. With this resource, scholars can stay informed, explore innovative approaches, and actively contribute to the advancement of AIoT and smart technologies, making it a compelling solution for those grappling with the complexities of this transformative field.
Deep Learning In Internet Of Things For Next Generation Healthcare
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Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2024-06-18
Deep Learning In Internet Of Things For Next Generation Healthcare written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-18 with Computers categories.
This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.