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Springer Vision, Sensing and Analytics: Integrative Approaches

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Description

Explore the future of technology with Vision, Sensing and Analytics: Integrative Approaches. As part of the Intelligent Systems Reference Library (207), this book provides a foundational guideline for the integrative approach, making it an essential resource for new and young generations of researchers and engineers. Recent advancements in computer vision, IoT sensors, and analytics have created new opportunities for impactful innovation. This text explains how the effective integration of these technologies allows for more rapid development and scalable architecting compared to traditional development methods. By moving away from hardcore developmental approaches, professionals can leverage more efficient systems designed for modern needs. This volume is particularly useful for those working in specialized sectors, featuring applications in biomedical and healthcare fields. Whether you are a scientist or an engineer, this book offers the necessary framework to understand how combining sensing and analytics can lead to highly effective and scalable technological solutions.

Key Features

Provides a primary guideline for the integrative approach, designed specifically to support the needs of new and young generations in the field.

Explains how combining computer vision, IoT sensors, and analytics leads to more impactful innovations and practical applications.

Offers a method for more rapid development and scalable architecting than traditional hardcore developmental approaches.

Includes specific applications and insights regarding biomedical and healthcare technologies.

Part of the Intelligent Systems Reference Library, volume 207, ensuring a high standard of technical reference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 June 2021
Listed Since
02 April 2021

Barcode

No barcode data available

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