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Convergence of deep learning and artificial Intelligence in internet of things /, Ajay Rana, Arun Kumar Rana, Sachin Dhawa


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Цена: 19906.00р.
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Автор: Ajay Rana, Arun Kumar Rana, Sachin Dhawa   (Аджай Рана)
Название:  Convergence of deep learning and artificial Intelligence in internet of things /
Перевод названия: Конвергенция глубокого обучения и искусственного интеллекта в Интернете вещей /
ISBN: 9781032391717
Издательство: Taylor&Francis
Классификация:






ISBN-10: 1032391715
Обложка/Формат: Hardback
Страницы: 312
Вес: 0.77 кг.
Дата издания: 27.12.2022
Серия: Future generation information systems
Иллюстрации: 21 tables, black and white; 112 line drawings, black and white; 57 halftones, black and white; 128 illustrations, color; 41 illustrations, black and white
Размер: 234 x 156
Читательская аудитория: Tertiary education (us: college)
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
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.


Artificial Intelligence for internet of things :

Автор: N. Thillaiarasu, Suman Lata Tripathi, V.
Название: Artificial Intelligence for internet of things :
ISBN: 1032210281 ISBN-13(EAN): 9781032210285
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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.

FPGA Algorithms and Applications for the Internet of Things

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)
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Цена: 28967.00 р.
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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.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

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: 22359.00 р.
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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.

Artificial intelligence for the internet of health things

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
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Цена: 18374.00 р.
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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.

Artificial Intelligence Systems and the Internet of Things in the Digital Era: Proceedings of Eammis 2021

Автор: Musleh Al-Sartawi Abdalmuttaleb M. a., Razzaque Anjum, Kamal Muhammad Mustafa
Название: Artificial Intelligence Systems and the Internet of Things in the Digital Era: Proceedings of Eammis 2021
ISBN: 3030772454 ISBN-13(EAN): 9783030772451
Издательство: Springer
Цена: 20962.00 р.
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Описание: Preface

Foreword

Acknowledgment

Conference Committees

Track 1: Innovation in the Digital Era

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

Blockchain, Artificial Intelligence, and the Internet of Things: Possibilities and Opportunities

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
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Цена: 7685.00 р.
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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.

Artificial Intelligence for Cloud and Edge Computing

Автор: Misra Sanjay, Kumar Tyagi Amit, Piuri Vincenzo
Название: Artificial Intelligence for Cloud and Edge Computing
ISBN: 3030808203 ISBN-13(EAN): 9783030808204
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

Artificial Intelligence-Based Internet of Things Systems

Название: Artificial Intelligence-Based Internet of Things Systems
ISBN: 3030870588 ISBN-13(EAN): 9783030870584
Издательство: Springer
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Цена: 20962.00 р.
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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.

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: 21190.00 р.
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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.

Internet of Things, Artificial Intelligence and Blockchain Technology

Автор: Kumar R. Lakshmana, Wang Yichuan, Poongodi T.
Название: Internet of Things, Artificial Intelligence and Blockchain Technology
ISBN: 3030741494 ISBN-13(EAN): 9783030741495
Издательство: Springer
Цена: 23757.00 р.
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Описание: The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems.

Demystifying Federated Learning for Blockchain and Industrial Internet of Things

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)
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Цена: 31878.00 р.
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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.

Demystifying Federated Learning for Blockchain and Industrial Internet of Things

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: 42134.00 р.
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.


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