Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..
The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.
Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.
Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.
The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.
Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.
For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.
Here is a preview of what you will learn...
Brief history of artificial intelligence
The state of art of machine learning
Artificial neural networks applied to machine learning
How can we build an AI ready culture
Our daily lives with AI
And More.....
Автор: Balas, Valentina E. Название: Healthcare Paradigms In The Internet Of Things Ecosystem ISBN: 0128196645 ISBN-13(EAN): 9780128196649 Издательство: Elsevier Science Рейтинг: Цена: 149340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects.
In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures.
Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems.
Presents the complete functional framework workflow in IoT-enabled healthcare technologies
Explains concepts of location-aware protocols and decisive mobility in IoT healthcare
Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare
Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare
Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things
Автор: Aboul Ella Hassanien Название: Cognitive Internet of Medical Things for Smart Healthcare ISBN: 3030558320 ISBN-13(EAN): 9783030558321 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.
Автор: Yen-Wei Chen; Lakhmi C. Jain Название: Deep Learning in Healthcare ISBN: 3030326055 ISBN-13(EAN): 9783030326050 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems.Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data.Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
Автор: Metcalf, David , Fisher, Teri , Pruthi, Sandhya Название: Voice Technology in Healthcare ISBN: 0367403862 ISBN-13(EAN): 9780367403867 Издательство: Taylor&Francis Рейтинг: Цена: 60220.00 T Наличие на складе: Невозможна поставка. Описание: In this book, the editors review information from the top though-leaders in this space and examine real-world case studies of the outcomes and potential of voice technology in healthcare.
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.
Автор: Lee, Kun Chang Название: Data Analytics In Biomedical Engineering And Healthcare ISBN: 012819314X ISBN-13(EAN): 9780128193143 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks.
Автор: Mohamed, Amr Название: Energy Efficiency Of Medical Devices And Healthcare Applications ISBN: 0128190450 ISBN-13(EAN): 9780128190456 Издательство: Elsevier Science Рейтинг: Цена: 105540.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Energy Efficiency of Medical Devices and Healthcare Facilities provides comprehensive coverage of cutting-edge, interdisciplinary research, and commercial solutions in this field. The authors discuss energy-related challenges, such as energy-efficient design, including renewable energy, of different medical devices from a hardware and mechanical perspectives, as well as energy management solutions and techniques in healthcare networks and facilities. They also discuss energy-related trade-offs to maximize the medical devices availability, especially battery-operated ones, while providing immediate response and low latency communication in emergency situations, sustainability and robustness for chronic disease treatment, in addition to high protection against cyber-attacks that may threaten patients' lives. Finally, the book examines technologies and future trends of next generation healthcare from an energy efficiency and management point of view, such as personalized or smart health and the Internet of Medical Things -- IoMT, where patients can participate in their own treatment through innovative medical devices and software applications and tools. The books applied approach makes it a useful resource for engineering researchers and practitioners of all levels involved in medical devices development, healthcare systems, and energy management of healthcare facilities. Graduate students in mechanical and electric engineering, and computer science students and professionals also benefit.
Автор: Prasant Kumar Pattnaik Название: Smart Healthcare Analytics in IoT Enabled Environment ISBN: 3030375501 ISBN-13(EAN): 9783030375508 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns.
Автор: Varun Bajaj and G R Sinha Название: Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 1 ISBN: 0750332778 ISBN-13(EAN): 9780750332774 Издательство: INGRAM PUBLISHER SERVICES UK Рейтинг: Цена: 168960.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This introduction explores the potential of mathematics to generate visually appealing objects and reveals some of the beauty of mathematics. With color figures and animations on an accompanying downloadable resources, plus a 16-page full-color insert, it includes numerous illustrations, computer-generated graphics, photographs, and art reproductio
Автор: Johnson Paul Название: Splunk Operational Intelligence Cookbook ISBN: 1849697841 ISBN-13(EAN): 9781849697842 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Johnson Paul R., Mock Derek, Diakun Josh Название: Splunk Operational Intelligence Cookbook - Second Edition: Transform Big Data into business-critical insights and rethink operational Intelligence wit ISBN: 1785284991 ISBN-13(EAN): 9781785284991 Издательство: Неизвестно Рейтинг: Цена: 74780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With expert guidance and over 70 recipes, this book gets you up and running with the latest features of Splunk Enterprise. By showing you how to leverage your business insights, it equips you with the skills you need to use Splunk for monitoring and analyzing big data through dashboards and visualizations.
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