Criminal Act Detection and Identification Model

2015 ◽  
Author(s):  
Ehab Hamdy ◽  
Ammar Adl ◽  
Aboul Ella Hassanien ◽  
Osman Hegazy ◽  
Tai-Hoon Kim
Keyword(s):  
Detection And Identification ◽  
Identification Model

Anthropometric and performance measures for the development of a talent detection and identification model in youth handball

2009 ◽  
Vol 27 (3) ◽  
pp. 257-266 ◽  
Author(s):  
Hasan Mohamed ◽  
Roel Vaeyens ◽  
Stijn Matthys ◽  
Marc Multael ◽  
Johan Lefevre ◽  
...  
Keyword(s):  
Performance Measures ◽  
Detection And Identification ◽  
And Performance ◽  
Identification Model

scholarly journals Indonesian Spelling Error Detection and Type Identification Using Bigram Vector and Minimum Edit Distance Based Probabilities

SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 183-190
Author(s):  
Emmy Erwina ◽  
Tommy Tommy ◽  
Mayasari Mayasari
Keyword(s):  
Test Data ◽  
Error Detection ◽  
Edit Distance ◽  
Spelling Error ◽  
Correct Word ◽  
Error Type ◽  
Detection And Identification ◽  
Younger Generation ◽  
Identification Model ◽  
Error Types

Spelling error has become an error that is often found in this era which can be seen from the use of words that tend to follow trends or culture, especially in the younger generation. This study aims to develop and test a detection and identification model using a combination of Bigram Vector and Minimum Edit Distance Based Probabilities. Correct words from error words are obtained using candidates search and probability calculations that adopt the concept of minimum edit distance. The detection results then identified the error type into three types of errors, namely vowels, consonants and diphthongs from the error side on the tendency of the characters used as a result of phonemic rendering at the time of writing. The results of error detection and identification of error types obtained are quite good where most of the error test data can be detected and identified according to the type of error, although there are several detection errors by obtaining more than one correct word as a result of the same probability value of these words.

Identification of hepatitis a virus in cell cultures by solid phase immune electron microscopy

1986 ◽  
Vol 44 ◽  
pp. 238-239
Author(s):  
C.D. Humphrey ◽  
T.L. Cromeans ◽  
E.H. Cook ◽  
D.W. Bradley
Keyword(s):  
Electron Microscopy ◽  
Liquid Phase ◽  
Cell Cultures ◽  
Rapid Detection ◽  
Hepatitis A ◽  
Hepatitis A Virus ◽  
Solid Phase ◽  
Immune Electron Microscopy ◽  
Detection And Identification

There is a variety of methods available for the rapid detection and identification of viruses by electron microscopy as described in several reviews. The predominant techniques are classified as direct electron microscopy (DEM), immune electron microscopy (IEM), liquid phase immune electron microscopy (LPIEM) and solid phase immune electron microscopy (SPIEM). Each technique has inherent strengths and weaknesses. However, in recent years, the most progress for identifying viruses has been realized by the utilization of SPIEM.

115: Detection and Identification of Bacterial DNA and HIV Gag in the Semen of HIV Infected Men

2004 ◽  
Vol 171 (4S) ◽  
pp. 30-30
Author(s):  
Robert C. Eyre ◽  
Ann A. Kiessling ◽  
Thomas E. Mullen ◽  
Rachel L. Kiessling
Keyword(s):  
Bacterial Dna ◽  
Detection And Identification
Sign in / Sign up

Export Citation Format

Share Document