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Artificial Intelligence and Internet of Things Based Augmented Trends for Data Driven Systems, Singla, Anshu ; Tanwar, Sarvesh ; Hsiung, Pao-Ann


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Цена: 132710.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 205 шт.  
При оформлении заказа до: 2025-08-18
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Singla, Anshu ; Tanwar, Sarvesh ; Hsiung, Pao-Ann
Название:  Artificial Intelligence and Internet of Things Based Augmented Trends for Data Driven Systems
ISBN: 9781032548173
Издательство: Taylor&Francis
Классификация:







ISBN-10: 1032548177
Обложка/Формат: Hardcover
Страницы: 336
Вес: 0.71 кг.
Дата издания: 07/31/2024
Серия: Intelligent data-driven systems and artificial intelligence
Иллюстрации: 27 tables, black and white; 62 line drawings, black and white; 15 halftones, black and white; 77 illustrations, black and white
Размер: 234 x 156
Основная тема: Computers | Computer Engineering ; Computers | Distributed Systems | Cloud Computing ; Technology & Engineering | Electrical ; Technology & Engineering | Electronics | General
Ссылка на Издательство: Link
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Поставляется из: Европейский союз

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 35330.00 T
Наличие на складе: Есть
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

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: 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.

Convergence of deep learning and artificial Intelligence in internet of things /

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
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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.

Practical Artificial Intelligence for Internet of Medical Things

Автор: Ratten, Vanessa (La Trobe University, Australia)
Название: Practical Artificial Intelligence for Internet of Medical Things
ISBN: 1032325275 ISBN-13(EAN): 9781032325279
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

Автор: Jain, Arpit
Название: Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things
ISBN: 1032392754 ISBN-13(EAN): 9781032392752
Издательство: Taylor&Francis
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Цена: 102080.00 T
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Artificial intelligence for cognitive modeling :

Автор: Dutta, Pijush,
Название: Artificial intelligence for cognitive modeling :
ISBN: 1032105704 ISBN-13(EAN): 9781032105703
Издательство: Taylor&Francis
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Цена: 132710.00 T
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Описание: This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.

Features:A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)Formulation of the nonlinear model like analysis of ANOVA and response surface methodologyVariety of solved problems on ANOVA and RSMCase studies of above mentioned intelligent techniques on the different process control systemsThis book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.


Recent Trends and Advances in Artificial Intelligence and Internet of Things

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
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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.

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
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.

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
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Modelling of Virtual Worlds Using the Internet of Things

Автор: Singh, Simar Preet ; Solanki, Arun
Название: Modelling of Virtual Worlds Using the Internet of Things
ISBN: 1032528109 ISBN-13(EAN): 9781032528106
Издательство: Taylor&Francis
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Цена: 158230.00 T
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Smart Manufacturing Factory: Artificial-Intelligence-Driven Customized Manufacturing

Автор: Wan, Jiafu ; Chen, Baotong ; Wang, Shiyong
Название: Smart Manufacturing Factory: Artificial-Intelligence-Driven Customized Manufacturing
ISBN: 103260896X ISBN-13(EAN): 9781032608969
Издательство: Taylor&Francis
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Цена: 173530.00 T
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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: 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.


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