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Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine
(Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
This paper describes an approach to automate the detection and classification of tuberculosis (TB) bacilli in tissue section using image processing technique and feedforward neural network trained by Extreme Learning ...
A phoneme based sign language recognition system using skin color segmentation
(Institute of Electrical and Elctronics Engineering (IEEE), 2010-05-21)
A sign language is a language which, instead of
acoustically conveyed sound patterns, uses visually transmitted
sign patterns. Sign languages are commonly developed for deaf
communities, which can include interpreters, ...
Vehicle noise comfort level indication: A psychoacoustic approach
(Institute of Electrical and Electronics Engineers (IEEE), 2010-05-21)
Nowadays, the studies and researches related to the improvement of the passenger
comfort in the car are carried out vigorously. The comfort in the car interior is already
become a need for the passengers and the buyers. ...
Comparison of classifying the material mechanical properties by using k-Nearest Neighbor and Neural Network Backpropagation
(Science Academy, 2011-03)
This paper present a development of a system with non-destructive testing on the material to define the mechanical
properties of material. The experimental and testing of the material mechanical properties using vibration ...
Probabilistic neural network based olfactory classification for household burning in early fire detection application
(IEEE, 2013-12)
Determination of burning smell is important because it can help in early fire detection and prevention. In this paper, a household burning smell classification system for early fire detection application has been proposed ...