DISTRIBUTEURS ELECTRIQUESBusiness Directories,Company Directories

Company Name: Corporate Name:	DISTRIBUTEURS ELECTRIQUES
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Company Address:	Cp 64 Succ Roxboro,ROXBORO,QC,Canada
ZIP Code: Postal Code:	H8Y3E8
Telephone Number:	5146858240
Fax Number:	5146834565
Website:
Email:
USA SIC Code(Standard Industrial Classification Code):	506330
USA SIC Description:	Electric Equipment & Supplies-Wholesale
Number of Employees:	1 to 4
Sales Amount:	$2.5 to 5 million
Credit History: Credit Report:	Very Good
Contact Person:	Leon Bouhadana
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Company News:

A review on pavement distress and structural defects detection and . . .
They studied the application of wavelet neural network in the identification of pavement distress, and developed a new algorithm that was more conducive to the automatic recognition of pavement distress
10 Pavement defect detection from roughness profile by wavelet . . .
The results demonstrate that the developed system is able to measure pavement roughness of uneven roads with 87 4% accuracy at 30 km h speed
Wavelet-based pavement distress detection and evaluation
We focus on wavelet-based distress detection, isolation, and evaluation
Wavelet-based pavement distress detection and evaluation
We focus on wavelet-based distress detection, isolation, and evaluation
PROCESSING TIME SERIES OF MEASUREMENTS BASED ON THE WAVELET SPECTRA . . .
Based on the proposed approach, a system for survey the state of the road pavement was developed Experimental testing of the system was carried out on two sections of the road network
Pavement Defect Detection With Deep Learning: A . . . - IEEE Xplore
In the past years, deep learning based methods have turned into a key technology, with advantages of high accuracy, strong robustness, and adaptability to complex pavement environments This paper first reviews the methods based on image processing and 3D imaging
(Open Access) Pavement roughness analysis using wavelet theory (2004 . . .
The proposed wavelet analysis is able to provide useful information for network pavement management and pavement maintenance operations by examining the roughness features at both high and low frequencies
Detection and classification of pavement damages using wavelet . . .
A methodology for the detection of damages in the pavement, by applying pattern recognition and image analysis and machine learning algorithms, is presented in the paper
Wavelet-Based Pavement Distress Classification - Jian Zhou, Peisen . . .
A two-step method–-wavelet transform followed by Radon transform–- is proposed for pavement distress classification First, a pavement image is decomposed into different frequency subbands by wavelet transform
Beamlet Transform‐Based Technique for Pavement Crack Detection and . . .
Abstract: This article presents a Beamlet transform-based approach to automatically detect and classify pavement cracks in digital images