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Real-time knowledge-based fuzzy logi...

Tan, Joey Sing Yee.

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Real-time knowledge-based fuzzy logic model for soft tissue deformation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Real-time knowledge-based fuzzy logic model for soft tissue deformation/ by Joey Sing Yee Tan, Amandeep S. Sidhu.
Author:	Tan, Joey Sing Yee.
other author:	Sidhu, Amandeep S.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	ix, 88 p. :ill., digital ;24 cm.
[NT 15003449]:	List of Figures -- List of Tables -- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Methodology -- Chapter 4. Fuzzy Inference System, etc.
Contained By:	Springer eBooks
Subject:	Fuzzy logic. -
Online resource:	https://doi.org/10.1007/978-3-030-15585-8
ISBN:	9783030155858

Real-time knowledge-based fuzzy logic model for soft tissue deformation
Tan, Joey Sing Yee.

Real-time knowledge-based fuzzy logic model for soft tissue deformation[electronic resource] /by Joey Sing Yee Tan, Amandeep S. Sidhu. - Cham :Springer International Publishing :2019. - ix, 88 p. :ill., digital ;24 cm. - Data, semantics and cloud computing,v.8322524-6593 ;. - Data, semantics and cloud computing ;v.832..

List of Figures -- List of Tables -- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Methodology -- Chapter 4. Fuzzy Inference System, etc.

This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing.

ISBN: 9783030155858

Standard No.: 10.1007/978-3-030-15585-8doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Real-time knowledge-based fuzzy logic model for soft tissue deformation
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100 1 $a Tan, Joey Sing Yee. $3 3386835
245 1 0 $a Real-time knowledge-based fuzzy logic model for soft tissue deformation $h [electronic resource] / $c by Joey Sing Yee Tan, Amandeep S. Sidhu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a ix, 88 p. : $b ill., digital ; $c 24 cm.
490 1 $a Data, semantics and cloud computing, $x 2524-6593 ; $v v.832
505 0 $a List of Figures -- List of Tables -- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Methodology -- Chapter 4. Fuzzy Inference System, etc.
520 $a This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing.
650 0 $a Fuzzy logic. $3 532071
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Surgery. $3 707153
650 2 4 $a Regenerative Medicine/Tissue Engineering. $3 2055677
700 1 $a Sidhu, Amandeep S. $3 3301996
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Data, semantics and cloud computing ; $v v.832. $3 3386836
856 4 0 $u https://doi.org/10.1007/978-3-030-15585-8
950 $a Intelligent Technologies and Robotics (Springer-42732)