Artificial Intelligence and Internet of Things for Renewable Energy Systems, Jens Bo Holm-Nielson, Kamal Kant Hiran, Neeraj Priyadarshi, Ramesh C. Bansal, Sanjeevikumar Padmanaban
Автор: Dubey, Ashutosh Kumar Название: Artificial Intelligence For Renewable Energy Systems ISBN: 0323903967 ISBN-13(EAN): 9780323903967 Издательство: Elsevier Science Рейтинг: Цена: 230190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Sustain Your Game is built upon a simple premise: each of us will always be under construction, a work in progress, and constantly evolving. The goal is to be moving toward our highest potential, toward making a meaningful contribution, and toward becoming the best version of ourselves.
Автор: Priyadarshi Neeraj, Bhoi Akash Kumar, Padmanaban Sanjeevikumar Название: Intelligent Renewable Energy Systems: Integrating Artificial Intelligence Techniques and Optimization Algorithms ISBN: 1119786274 ISBN-13(EAN): 9781119786276 Издательство: Wiley Рейтинг: Цена: 198470.00 T Наличие на складе: Поставка под заказ. Описание: This is the first major reconstruction of this new world of plants in sixteenth-century Tuscany. Focusing primarily on the medical use of plants, this book also shows how plants, while maintaining their importance in therapy, began to be considered and studied for themselves, and how this new understanding prepared the groundwork for the science of
Integrating Artificial Intelligence (AI) is pivotal in increasing the performance of Internet of Things (IoT) devices and systems (i.e., sensors, actuators, and closed-circuit television or video surveillance systems). When these devices/systems are properly configured and implemented, AI can interact with other decentralized IoT devices and systems on the infrastructure. Artificial Intelligence to Solve Pervasive Internet of Things Issues csover wide-ranging technology areas along with their applications and challenges. It also includes architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. These chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.
Are you confused about what all the rage behind artificial intelligence is and would like to learn more?
This book covers everything from machine learning to robotics and the internet of things.
You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.
By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.
You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.
Here's just a tiny fraction of what you'll discover:
Understand how machines can "think" and how they learn
Learn the five reasons why experts are warning us about AI research
Find the answers to the top six myths of artificial intelligence
Learn what neural networks are and how they work, the "brains" of machine learning
Understand reinforcement learning and how it is used to teach machine learning systems through experience
Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning
Learn the basics of recommender systems
Expand your current view of machines and what is possible with modern robotics
Enter the vast world of the internet of things technologies
Find out why AI is the new business degree
And much, much more
If you want to learn more about artificial intelligence, then scroll up and click "add to cart"
Автор: Kumar Pardeep, Obaid Ahmed Jabbar, Cengiz Korhan Название: A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems ISBN: 3030766527 ISBN-13(EAN): 9783030766528 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.
Автор: Alankar Bhavya, Kaur Harleen, Chauhan Ritu Название: Transforming the Internet of Things for Next-Generation Smart Systems ISBN: 1799875415 ISBN-13(EAN): 9781799875413 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 260570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The internet of things (IoT) has massive potential to transform current business models and enhance human lifestyles. With the current pace of research, IoT will soon find many new horizons to touch.
IoT is now providing a base of technological advancement in various realms such as pervasive healthcare, smart homes, smart cities, connected logistics, automated supply chain, manufacturing units, and many more. IoT is also paving the path for the emergence of the digital revolution in industrial technology, termed Industry 4.0.
Transforming the Internet of Things for Next-Generation Smart Systems focuses on the internet of things (IoT) and how it is involved in modern day technologies in a variety of domains. The chapters cover IoT in sectors such as agriculture, education, business and management, and computer science applications.
The multi-disciplinary view of IoT provided within this book makes it an ideal reference work for IT specialists, technologists, engineers, developers, practitioners, researchers, academicians, and students interested in how IoT will be implemented in the next generation of smart systems and play an integral role in advancing technology in the future.
Название: Artificial Intelligence-Based Internet of Things Systems ISBN: 3030870588 ISBN-13(EAN): 9783030870584 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.
Chapter 1 Model-based Validation of Business Processes: Case Study of Logistic Sector
Firna Muninggar Kistianti, Muharman Lubis, and Asti Amalian Nur Fajrillah,
Chapter 2
COVID-19 Lung Image Classification based on Logistic Regression and Support Vector Machine
Nazish, Syed Irfan Ullah, Abdus Salam, Wajid Ullah, and Muhammad Imad
Chapter 3 Performance Analysis of POX and RYU based on Dijkstra's Algorithm for Software Defined Networking
Naimullah, Syed Irfan Ullah, Arbab Wajid Ullah, Abdus Salam, Muhammad Imad, and Farhat Ullah
Chapter 4
Priority Based Power Delivery System for Electric Vehicle Charging
Noaima Bari, Ahteshamul Haque, Gaurav Ahuja, and V S Bharath Kurukuru
Chapter 5 Clustering Algorithms as a tool for Odour Classifications in E-nose Developments
Yousif Albastaki
Chapter 6 Bidirectional Octonion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition
Shobarani Salvadi, Dr.D.Nagendra Rao, and Dr. Srinivasan Vatsal3,
Chapter 7 E-Learning Acceptance during the Covid-19 Outbreak: A cross-sectional study
Mohammed Habes, Sana Ali, Atiqa Khalid, Hiba Abou Haykal, Mokhtar Elareshi, Tabinda Khan, and Abdulkairm Ziani
Chapter 8 Digital Social Contracts with AI Robots: Some Implications for Amazon.com
Frank T. Lorne and, Mahita Reddy Gogireddy
Chapter 9 Adaptations during COVID-19 and Smart Disease Detection through 'Germica'
Rajkumar Rajasekaran, Dr.Jolly Masih, and Damandeep Kaur
Chapter 10
Facebook advertising in the era of Digital Economy
Sharma Megha, Dangwal Chandra Ramesh, and Masih Jolly
Chapter 11 Life-Saving APP: Snake Classification 'Venomous and Non-Venomous' using fast.ai based on Indian Species
Dr Lakshmi D, Ramesh Chandra Panda, Amrita, and Mr. Abhinav Prakash
Chapter 12 Digital Media Usage among Arab Journalists during Covid-19 Outbreak
Abdul-Karim Ziani1, Mokhtar Elareshi, Mohammed Habes, Khalaf Mohammed Tahat, and Sana Ali
Track 2: Industry 4.0 Management for Sustainable Technologies
Chapter 13 Impact of E-Procurement on Supply Chain Performance
Ali M. Albinkhali
Chapter 14 Predicting Pyramid Geometric Solar Water Still Plant Efficiency using RBF Based Multi-layer Perceptron
Rajeev Raghuvanshi, MD Ilyas, and Surbhi Sharma
Chapter 15
Comparative Analysis of Machine Learning Algorithms for Stock Market Prediction During Covid-19 Outbreak
Jolly Masih, Rajkumar Rajasekaran, Neha Saini and Damandeep Kaur
Chapter 16
Bitcoin Prediction using Ensemble Modelling
Govinda K, Rajkumar R, and Jolly Masih
Chapter 17
Structural Modeling of the Lean Supply Chain Enablers
Hemant Sharma and Nagendra Sohani
Chapter 18
Increasing productivity and quality with IoT technologies in industrial treatment systems
Adem Kayar, Fatih Цztьrk, and Hakan Ceyhan
Chapter 19
Intelligent Community Detection: Comparative Study (Covid19 Dataset)
Jenan Moosa, Wasan Awad, and Tatiana Kalganova
Chapter 20 An Exploration into the Posture of Robo-Advisor Globally
Ismail Canoz
Chapter 21
Автор: Kumar Название: A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems ISBN: 3030766551 ISBN-13(EAN): 9783030766559 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.
Автор: Kenji Suzuki; Yisong Chen Название: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging ISBN: 3319688421 ISBN-13(EAN): 9783319688428 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 76690.00 T Наличие на складе: Поставка под заказ. Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE
The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research.
Series Editor
Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India
Editorial Advisory Board
Dr. Elizabeth Behrman, Wichita State University, Kansas, USA
Dr. Goran Klepac
Dr. Leo Mrsic, Algebra University College, Croatia
Dr. Aboul Ella Hassanien, Cairo University, Egypt
Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic
Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland
Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil
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