-
DISPONIBILITÀ IMMEDIATA
{{/disponibilitaBox}}
-
{{speseGratisLibroBox}}
{{/noEbook}}
{{^noEbook}}
-
Libro
-
Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
tan joey sing yee; sidhu amandeep s.
108,98 €
103,53 €
{{{disponibilita}}}
TRAMA
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.SOMMARIO
List of Figures.- List of Tables.- Chapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Methodology.- Chapter 4. Fuzzy Inference System, etc.ALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9783030155841
- Collana: Studies in Computational Intelligence
- Dimensioni: 235 x 155 mm
- Formato: Copertina rigida
- Illustration Notes: IX, 88 p.
- Pagine Arabe: 88
- Pagine Romane: ix