國立虎尾科技大學 |

Vision, Sensing and Analytics: Integrative Approaches

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Vision, Sensing and Analytics: Integrative Approaches/ edited by Md Atiqur Rahman Ahad, Atsushi Inoue.
other author:	Ahad, Md Atiqur Rahman.
Description:	X, 413 p. 125 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-75490-7
ISBN:	9783030754907

Vision, Sensing and Analytics: Integrative Approaches
Vision, Sensing and Analytics: Integrative Approaches[electronic resource] /edited by Md Atiqur Rahman Ahad, Atsushi Inoue. - 1st ed. 2021. - X, 413 p. 125 illus., 81 illus. in color.online resource. - Intelligent Systems Reference Library,2071868-4408 ;. - Intelligent Systems Reference Library,67.

Deep Architectures in Visual Transfer Learning -- Deep Reinforcement Learning: A New Frontier in Computer Vision Research -- Deep Learning for Data-driven Predictive Maintenance -- Multi-Criteria Fuzzy Goal Programming under Multi-Uncertainty -- Skeleton-based Human Action Recognition on Large-Scale Datasets.

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.

ISBN: 9783030754907

Standard No.: 10.1007/978-3-030-75490-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Vision, Sensing and Analytics: Integrative Approaches
LDR:02669nam a22004095i 4500 001 1055243
003 DE-He213
005 20210818083323.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030754907 $9 978-3-030-75490-7
024 7 $a 10.1007/978-3-030-75490-7 $2 doi
035 $a 978-3-030-75490-7
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Vision, Sensing and Analytics: Integrative Approaches $h [electronic resource] / $c edited by Md Atiqur Rahman Ahad, Atsushi Inoue.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a X, 413 p. 125 illus., 81 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Intelligent Systems Reference Library, $x 1868-4408 ; $v 207
505 0 $a Deep Architectures in Visual Transfer Learning -- Deep Reinforcement Learning: A New Frontier in Computer Vision Research -- Deep Learning for Data-driven Predictive Maintenance -- Multi-Criteria Fuzzy Goal Programming under Multi-Uncertainty -- Skeleton-based Human Action Recognition on Large-Scale Datasets.
520 $a 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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Optical data processing. $3 639187
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Image Processing and Computer Vision. $3 670819
700 1 $a Ahad, Md Atiqur Rahman. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1348987
700 1 $a Inoue, Atsushi. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1024975
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030754891
776 0 8 $i Printed edition: $z 9783030754914
776 0 8 $i Printed edition: $z 9783030754921
830 0 $a Intelligent Systems Reference Library, $x 1868-4394 ; $v 67 $3 1253823
856 4 0 $u https://doi.org/10.1007/978-3-030-75490-7
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)