Vision, Sensing and Analytics: Integrative Approaches

Atsushi Inoue

ISBN 10: 3030754898 / ISBN 13: 9783030754891

Published by Springer International Publishing Jun 2021, 2021

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book serves as the first guideline ofthe integrative approach, optimal for our new and young generations.Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach -the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach.Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added-values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability. 424 pp. Englisch.

Seller Inventory # 9783030754891

Bibliographic Details

• Title: Vision, Sensing and Analytics: Integrative Approaches
• Publisher: Springer International Publishing Jun 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 3030754898
• ISBN 13: 9783030754891
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 29D millimeters 241 millimeters width by 160 millimeters height by 29 millimeters depth
• Weight: 799 grams

About this title

Synopsis

This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach ―the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach.

Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.