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Recent Advances in Internet of Things and Machine Learning, Balas


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Автор: Balas
Название:  Recent Advances in Internet of Things and Machine Learning
ISBN: 9783030901219
Издательство: Springer
Классификация:



ISBN-10: 3030901211
Обложка/Формат: Soft cover
Страницы: 329
Вес: 0.55 кг.
Дата издания: 02.03.2023
Серия: Intelligent Systems Reference Library
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 100 tables, color; 117 illustrations, color; 21 illustrations, black and white; xxiv, 329 p. 138 illus., 117 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Real-world applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Дополнительное описание: Concentration Level of Learner Using Facial Expressions On E-Learning Platform Using IoT-Based Pycharm Device.- IoT-based Machine learning system for Nutritional Ingredient Analyzer for Food.- A Secured Manhole Management System Using IoT and Machine Lear


Machine Learning and Internet of Things in Solar Power Generation

Автор: Umapathy, Prabha
Название: Machine Learning and Internet of Things in Solar Power Generation
ISBN: 1032299789 ISBN-13(EAN): 9781032299785
Издательство: Taylor&Francis
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Цена: 102080.00 T
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Computational Intelligence in the Internet of Things

Автор: Purnomo Hindriyanto Dwi
Название: Computational Intelligence in the Internet of Things
ISBN: 1522579559 ISBN-13(EAN): 9781522579557
Издательство: Mare Nostrum (Eurospan)
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Цена: 188100.00 T
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Описание: In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.

Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur

Автор: Wilkins Neil
Название: Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur
ISBN: 1647481341 ISBN-13(EAN): 9781647481346
Издательство: Неизвестно
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Цена: 27580.00 T
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Internet of Things and Machine Learning in Agriculture: Technological Impacts and Challenges

Автор: Abhishek Kumar, Jyotir Moy Chatterjee, Pramod Singh Rathore, Vishal Jain
Название: Internet of Things and Machine Learning in Agriculture: Technological Impacts and Challenges
ISBN: 3110691221 ISBN-13(EAN): 9783110691221
Издательство: Walter de Gruyter
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Цена: 141270.00 T
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Описание:

Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.


Machine Learning Modeling for Iout Networks: Internet of Underwater Things

Автор: Aziz El-Banna Ahmad A., Wu Kaishun
Название: Machine Learning Modeling for Iout Networks: Internet of Underwater Things
ISBN: 3030685667 ISBN-13(EAN): 9783030685669
Издательство: Springer
Цена: 46570.00 T
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Описание: This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT).

Artificial Intelligence and Internet of Things: Applications in Smart Healthcare

Автор: Goyal Lalit Mohan, Saba Tanzila, Rehman Amjad
Название: Artificial Intelligence and Internet of Things: Applications in Smart Healthcare
ISBN: 0367562944 ISBN-13(EAN): 9780367562946
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: This book reveals the applications of AI & IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services.

Machine Learning for Critical Internet of Medical Things: Applications and Use Cases

Автор: Al-Turjman Fadi, Nayyar Anand
Название: Machine Learning for Critical Internet of Medical Things: Applications and Use Cases
ISBN: 3030809277 ISBN-13(EAN): 9783030809270
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. * Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; * Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; * Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Machine Learning and Internet of Things for Societal Issues

Автор: Satyanarayana Ch, Gao Xiao-Zhi, Ting Choo-Yee
Название: Machine Learning and Internet of Things for Societal Issues
ISBN: 9811650896 ISBN-13(EAN): 9789811650895
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.

Sensor Analysis for the Internet of Things

Автор: Michael Stanley, Jongmin Lee
Название: Sensor Analysis for the Internet of Things
ISBN: 1681732890 ISBN-13(EAN): 9781681732893
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
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Описание: While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.

Next Generation Internet of Things: Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation

Автор: Ovidiu Vermesan, Joel Bacquet
Название: Next Generation Internet of Things: Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation
ISBN: 8770220085 ISBN-13(EAN): 9788770220088
Издательство: Taylor&Francis
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Цена: 93910.00 T
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Описание: This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The text builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual and augmented reality (VR/AR), and AI transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.

Plunkett`s Internet of Things (IoT) & Machine-to-Machine (M2M) Industry Almanac 2019

Автор: Jack W. Plunkett
Название: Plunkett`s Internet of Things (IoT) & Machine-to-Machine (M2M) Industry Almanac 2019
ISBN: 1628315156 ISBN-13(EAN): 9781628315158
Издательство: Mare Nostrum (Eurospan)
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Цена: 317670.00 T
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Описание: The Internet of Things is all about communications—between objects and machines instead of people. The technology powering this revolution is often referred to as machine-to-machine or M2M. We will soon see tens of billions of IoT connected devices worldwide. The result will be a more efficient, more sustainable world. M2M can be as simple as a refrigerator that lets a smartphone app know when you are running low on milk (via Wi-Fi) to a vast, exceedingly complex network of wireless devices connecting all devices in a massive factory. M2M systems that automatically collect data from patients’ bedsides; analyze, chart and store that data; and make the data available to doctors or nurses so that they may take any necessary actions are becoming increasingly powerful. Elsewhere, remote sensors can monitor and transmit the stress level or metal fatigue in a highway bridge or an aircraft wing, or monitor manufacturing processes and product quality in a factory. In our age of growing focus on environmental quality, they can be designed to analyze surrounding air for chemicals, pollutants or particles. Energy efficiency is going to benefit greatly, particularly in newly-built offices and factories. General Electric, Microsoft, Intel and many other top global firms are investing billions of dollars in M2M. The end result will be more reliability, greater safety, sustainability and efficiency in everything from industrial plants to personal cars to air conditioners and agricultural fields.

Artificial Intelligence: An Essential Beginner`s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learnin

Автор: Wilkins Neil
Название: Artificial Intelligence: An Essential Beginner`s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learnin
ISBN: 1950924807 ISBN-13(EAN): 9781950924806
Издательство: Неизвестно
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Цена: 27580.00 T
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Описание: So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?What kind of impact will smart machines have on society and the future of human jobs?


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