Convergence of deep learning and artificial Intelligence in internet of things /, Ajay Rana, Arun Kumar Rana, Sachin Dhawa
Автор: N. Thillaiarasu, Suman Lata Tripathi, V. Название: Artificial Intelligence for internet of things : ISBN: 1032210281 ISBN-13(EAN): 9781032210285 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Нет в наличии. Описание: The text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence. The text will be helpful for senior undergraduate, graduate students, and academic researchers in diverse engineering fields including electrical, electronics and communication, and computer.
Автор: Michael Stanley, Jongmin Lee Название: Sensor Analysis for the Internet of Things ISBN: 1681732890 ISBN-13(EAN): 9781681732893 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 82230.00 T Наличие на складе: Невозможна поставка. 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.
Автор: Purnomo Hindriyanto Dwi Название: Computational Intelligence in the Internet of Things ISBN: 1522579559 ISBN-13(EAN): 9781522579557 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 188100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Valentina E. Balas; Raghvendra Kumar; Rajshree Sri Название: Recent Trends and Advances in Artificial Intelligence and Internet of Things ISBN: 3030326438 ISBN-13(EAN): 9783030326432 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
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: Ching Wa Daniel Ng Название: FPGA Algorithms and Applications for the Internet of Things ISBN: 1522598065 ISBN-13(EAN): 9781522598060 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 193110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With analytics that span environmental development to computer hardware emulation, problem-solving algorithms are in high demand. Field-Programmable Gate Array (FPGA) is a promising computing platform that can be significantly faster for some applications and can be applied to a variety of fields.
FPGA Algorithms and Applications in the IoT, AI, and High-Performance Computing provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. Featuring coverage on a broad range of topics such as neuroscience, bioinformatics, and artificial intelligence, this book is ideally designed for computer science specialists, researchers, professors, and students seeking current research on cognitive analytics and advanced computing.
Название: Blockchain, Internet of Things, and Artificial Intelligence ISBN: 0367371537 ISBN-13(EAN): 9780367371531 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an integrated overview and technical description of the fundamental concepts of blockchain, IoT and AI technologies. State-of-the-art techniques are explored in-depth to discuss the challenges faced in each domain. This book is suitable for graduates, academic professors, and industry experts etc.
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: Balas Valentina E., Kumar Raghvendra, Srivastava Rajshree Название: Recent Trends and Advances in Artificial Intelligence and Internet of Things ISBN: 3030326462 ISBN-13(EAN): 9783030326463 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A 128-Bit Tunable True Random Number Generator with Digital Clock Manager.- Network Monitoring System Using Ping Methodology and GUI.- License Plate Recognition Based On K-Means Clustering Algorithm.
Автор: Shankar, K. Perumal, Eswaran Gupta, Deepak Название: Artificial intelligence for the internet of health things ISBN: 036774497X ISBN-13(EAN): 9780367744977 Издательство: Taylor&Francis Рейтинг: Цена: 122490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications.Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare dataK. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.
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: Raj Pethuru, Dubey Ashutosh Kumar, Kumar Abhishek Название: Blockchain, Artificial Intelligence, and the Internet of Things: Possibilities and Opportunities ISBN: 3030776360 ISBN-13(EAN): 9783030776367 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides basic concepts and deep knowledge about various security mechanisms that can be implemented in IoT through Blockchain technology. This book gives descriptive analysis of Blockchain integrated with IoT applications and platforms for the development of IoT solutions along with possible topologies to that integration.
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