Machine Learning and Internet of Things in Solar Power Generation, Umapathy, Prabha
Автор: Ajay Rana, Arun Kumar Rana, Sachin Dhawa Название: Convergence of deep learning and artificial Intelligence in internet of things / ISBN: 1032391715 ISBN-13(EAN): 9781032391717 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the internet of things. It further discusses applications of smart technologies in diverse sectors such as production, manufacturing, transport, and healthcare.
Автор: Bangert, Patrick Название: Machine Learning And Data Science In The Power Generation Industry ISBN: 0128197420 ISBN-13(EAN): 9780128197424 Издательство: Elsevier Science Рейтинг: Цена: 121270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies explores current best practices and quantifies the value-add in developing data-oriented computational programs in the energy industry, with a focus on real-world case studies selected from modern practice. The book provides a set of realistic pathways for organizations seeking to develop machine learning methods, with discussion on data selection and curation, as well as organizational implementation in terms of staffing and continuing operationalization. The book articulates a body of case study-driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, emissions credits, and forecasting.
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.
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 Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Vishal Jain Название: Internet of Things and Machine Learning in Agriculture ISBN: 1685071929 ISBN-13(EAN): 9781685071929 Издательство: Nova Science Рейтинг: Цена: 149940.00 T Наличие на складе: Невозможна поставка. Описание: Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it. As farming has expanded, however, the usage of resources such as land, fertilizer, and water has grown exponentially. Environmental pressures from modern farming techniques have stressed our natural landscapes. Still, by some estimates, worldwide food production will need to increase 70% by 2050 to keep up with global demand. With global populations rising, it falls to technology to make farming processes more efficient and keep up with the growing demand. Fortunately, Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there is a lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector.
Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra Название: Recent Advances in Internet of Things and Machine Learning: Real-World Applications ISBN: 3030901181 ISBN-13(EAN): 9783030901189 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Gaurav Dhiman, Sandeep Kautish Название: Demystifying Federated Learning for Blockchain and Industrial Internet of Things ISBN: 1668437333 ISBN-13(EAN): 9781668437339 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 280890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. The book provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication.
Автор: Gaurav Dhiman, Sandeep Kautish Название: Demystifying Federated Learning for Blockchain and Industrial Internet of Things ISBN: 1668437341 ISBN-13(EAN): 9781668437346 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 212520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. The book provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication.
Автор: Sharma Kavita, Gigras Yogita, Sharma Vishnu Название: Internet of Healthcare Things: Machine Learning for Security and Privacy ISBN: 1119791766 ISBN-13(EAN): 9781119791768 Издательство: Wiley Рейтинг: Цена: 198470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: INTERNET OF HEALTHCARE THINGS
The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making.
The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book.
Audience
Researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.
Автор: Nath Название: Microelectronics, Communication Systems, Machine Learning and Internet of Things ISBN: 9811919054 ISBN-13(EAN): 9789811919053 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents peer-reviewed papers of the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020). This book discusses recent trends in technology and advancement in microelectronics, nano-electronics, VLSI design, IC technologies, wireless communications, optical communications, SoC, advanced instrumentations, signal processing, internet of things, machine learning, image processing, green energy, hybrid vehicles, weather forecasting, cloud computing, renewable energy, CMOS sensors, actuators, RFID, transducers, real-time embedded system, sensor network and applications, EDA design tools and techniques, fuzzy logic & artificial intelligence, high-performance computer architecture, AI-based robotics & applications, brain-computer interface, deep learning, advanced operating systems, supply chain development & monitoring, physical systems design, ICT applications, e-farming, information security, etc. It includes original papers based on theoretical, practical, experimental, simulations, development, application, measurement, and testing. The applications and solutions discussed in the book will serve as good reference material for young scholars, researchers, and academics.
Автор: Biswas Название: Internet of Things Based Smart Healthcare ISBN: 9811914079 ISBN-13(EAN): 9789811914072 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.
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