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Applying AI-Based IoT Systems to Simulation-Based Information Retrieval

Name: Applying AI-Based IoT Systems to Simulation-Based Information Retrieval
Brand: IGI Global
SKU: 9781668452554
Price: 1160.39 PLN
Availability: InStock

Autor: Bhatia Surabhi, Poonam Tanwar

Język:

Oprawa: Twarda

Wydawca: IGI Global

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-18 dni

1 160.39 zł

Communication based on the internet of things (IoT) generates huge amounts of data from sensors over...

Informacje o książce

Autor

Bhatia Surabhi, Poonam Tanwar

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2023

strony

256

EAN

9781668452554

ISBN

1668452553

Enbook ID

43346842

Wydawca

IGI Global

Waga

685

Wymiary

183 x 260 x 18

Pełny opis

Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians.