Transactions on Computational Science XXXIV / edited by Marina L. Gavrilova, C.J. Kenneth Tan.

Format:

Book

Contributor:

Gavrilova, Marina L., editor.

Tan, C. J. Kenneth (Chih Jeng Kenneth), editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Transactions on Computational Science, 1866-4733 ; 11820.

Transactions on Computational Science, 1866-4733 ; 11820

Language:

English

Subjects (All):

Machine learning.

Application software.

Software engineering.

Data structures (Computer science).

Computer architecture.

Machine Learning.

Information Systems Applications (incl. Internet).

Software Engineering/Programming and Operating Systems.

Data Structures and Information Theory.

Computer System Implementation.

Local Subjects:

Machine Learning.

Information Systems Applications (incl. Internet).

Software Engineering/Programming and Operating Systems.

Data Structures and Information Theory.

Computer System Implementation.

Physical Description:

1 online resource (XI, 137 pages) : 75 illustrations, 32 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 34th issue of the Transactions on Computational Science, contains seven in-depth papers focusing on research on data analytics using machine learning and pattern recognition, with applications in wireless networks, databases, and remotely sensed data. .

Contents:

Machine Learning in Hybrid Environment for Information Identification with Remotely Sensed Image Data

Clustering-Based Aggregation of High-Utility Patterns from Unknown Multi-Database

A Study of Three Different Approaches to Point Placement on a Line in an Inexact Model

Cinolib: A Generic Programming Header Only C++ Library for Processing Polygonal and Polyhedral Meshes

Trust Computation in VANET Cloud

Received Power Exploration of Cooperative WSN Deployed in Adjustable Antenna Height Environment

A Built-in Circuit for Self-Reconfiguring Mesh-Connected Processor Arrays with Spares on Diagonal.

Other Format:

Printed edition:

ISBN:

978-3-662-59958-7

9783662599587

Access Restriction:

Restricted for use by site license.