Author : Thomas S. Clary
Publisher :
Page : 261 pages
File Size : 36,41 MB
Release : 2017
Category : COMPUTERS
ISBN : 9781536127584
[PDF] Horizons In Computer Science Research eBook
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Horizons in Computer Science Research
Author : Thomas S. Clary
Publisher :
Page : pages
File Size : 30,17 MB
Release : 2018
Category : COMPUTERS
ISBN : 9781536133288
Horizons in Computer Science Research
Author : Thomas S. Clary
Publisher : Nova Science Publishers
Page : 331 pages
File Size : 44,75 MB
Release : 2014-05-14
Category : Computer science
ISBN : 9781613249017
Horizons in Computer Science Research. Volume 3
Author : Thomas S. Clary
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 45,12 MB
Release : 2012-05-17
Category : Computer science
ISBN : 9781611228076
This book presents original research results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum.
Horizons in Computer Science Research, Volume 02
Author : Thomas S. Clary
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 32,85 MB
Release : 2011-07
Category : Computer science
ISBN : 9781617614392
This book presents original research results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum.
Horizons in Computer Science Research
Author : Thomas S. Clary
Publisher : Nova Science Publishers
Page : 315 pages
File Size : 18,8 MB
Release : 2014-05-14
Category : Computer science
ISBN : 9781619427778
Horizons in Computer Science Research. Volume 11
Author : Thomas S. Clary
Publisher :
Page : 215 pages
File Size : 11,87 MB
Release : 2015
Category : COMPUTERS
ISBN : 9781634825122
This book presents original results on the leading edge of computer science research. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include weighted fusion of shape descriptor for robust shape classification; metaheuristics for curve and surface reconstruction; stream-based parallel computing methodology and development environment for high performance manycore accelerators; h-infinity recursive wiener fixed-interval smoother based on innovation approach in linear discrete-time stochastic systems; and virtual supercomputers as the basis of scientific computing.
Horizons in Computer Science Research
Author :
Publisher :
Page : pages
File Size : 23,27 MB
Release : 2017
Category :
ISBN : 9781536106213
Horizons in Computer Science Research
Author : Thomas S. Clary
Publisher : Nova Science Publishers
Page : 356 pages
File Size : 18,17 MB
Release : 2014-05-14
Category : Computer science
ISBN : 9781624174971
Horizons in Computer Science Research. Volume 19
Author : Thomas S. Clary
Publisher :
Page : 272 pages
File Size : 12,38 MB
Release : 2020-08-26
Category :
ISBN : 9781536183115
Horizons in Computer Science Research. Volume 19 first describes the principles, materials and processes in 2.5D printing and post-press enhancement based on the authors' research.This compilation goes on to discuss Hadoop, a pioneering open source framework that has revolutionized the big data world due to its ability to process vast amounts of unstructured and semi-structured data by distributing a massive amount of data across clusters.A new tool that uses general and query-based summarization to analyze students' log files at the Academic Center for Tutoring at Columbus State University, a small state university in Georgia, USA, is introduced.The concept of a Vehicle Accident Prediction System is presented using accident datasets based on actual vehicle accident data extracted from open-source datasets.The current problem of rapid data increase throughout the year is discussed, along with the available options for gaining useful insight from World Wide Web created data.A review of different methods for Audio-Visual Speech Recognition using Random Forest is presented, and a strategy based on the combination of Wavelet multiresolution analysis and Random Forest is proposed.The authors review six recent applications of autoencoders in cryo-EM and cryo-ET data analysis, discussing the autoencoders' strength and weaknesses to provide potential directions for future research.In closing, an algorithm is presented which uses ensembles of metamodels and classifiers to predict which candidate designs for computer simulations are expected to cause failures and to divert the search accordingly.