Juraj L. Profile

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Algorithm

C Programming

C++ Programming

Java

Matlab and Mathematica

5.0

(2 ulasan)

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$20 USD / jam

zabok,

croatia

$20 USD / jam

It's currently 5:57 PG here

Joined Februari 27, 2012

0 Syor

Juraj L.

@lovrencic

5.0

(2 ulasan)

2.5

100%

$20 USD / jam

zabok,

croatia

$20 USD / jam

100%

Pekerjaan Disiapkan

100%

Mengikut Bajet

100%

Tepat Pada Masa

N/A

Kadar Upah Semula

programmer

- machine learning - image processing - math - digital signal processing

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Item Portfolio

A Neural-Network-Based System for Monitoring Driver Fatigue

Hand written text OCR software. Uses multilayer perceptron for character segmentation and convolutional neural network for character recognition. Both neural networks are my own implementations. Dictionary is used to correct recognition errors.

Recognizer 2007

Simple music reading application. Uses Hough transform to rotate and scale scanned image into normal, upright position. Uses neural network to recognize musical notes.

MusicOCR

Parametric 2D CAD

Ulasan

Perubahan disimpan

Menunjukkan 1 - 2 daripada 2 ulasan

Tapis ulasan mengikut:

5.0

£60.00 GBP

Force simulation with matlab

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Engineering

Matlab and Mathematica

Algorithm

Andrius R.

@Azararo

•

11 tahun yang lalu

5.0

$100.00 USD

Biquad filtering experts required

Lighting fast freelancer. I will definitely use his services again.

C Programming

C++ Programming

David S.

@agentdavo

•

12 tahun yang lalu

Pengalaman

TIS OIS

Mostly banking software (central money transfer order processing for certain bank)

Pendidikan

Masters Degree In Computer Engineering

Sveuèilište u Zagrebu,

2002 - 2007

(5 tahun)

Kelayakan

Microsoft

2009

Penerbitan

A Neural-Network-Based System for Monitoring Driver Fatigue

IEEE

A driver's lack of attention due to fatigue or sleepiness is one of the major reasons for traffic accidents. As a result, over the past ten years there has been an increased interest in the methods, techniques and technologies for developing driver-fatigue monitoring systems. In this paper we describe a prototype of a neural-network-based system for monitoring driver fatigue. The system consists of a combination of neural-network-based modules for the extraction of visual bio-behavioural features and