Hoso S. Profile

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Algorithm

Engineering

Image Processing

Mathematics

Matlab and Mathematica

5,0

(15 отзывов(-а))

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$40 USD / час

waterloo,

canada

$40 USD / час

Здесь сейчас 8:28 AM

На сайте с октября 15, 2019

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Hoso S.

@hsoleimani2002

5,0

(15 отзывов(-а))

4,1

80%

$40 USD / час

waterloo,

canada

$40 USD / час

100 %

Завершенных работ

84 %

В рамках бюджета

95 %

Своевременно

11 %

Рейтинг повторного найма

Software Developer

I am a P.H.D student, Department of ECE. My expertise is in Machine learning, computer vision, image processing, and optimization problems. I also have a deep understanding and knowledge of mathematic, statistics, and probability. I am good with Matlab, R, C++, Python, and most of the image processing libraries.

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Элементы портфолио

Linear algebra is central to almost all areas of mathematics. For instance, linear algebra is fundamental in modern presentations of geometry, including for defining basic objects such as lines, planes and rotations. Also, functional analysis, a branch of mathematical analysis, may be viewed as basically the application of linear algebra to spaces of functions.

Linear Algebra and numerical computations

Density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.

A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.

Distribution Estimation- Probability- Statistics

Digital signal processing (DSP) applications include audio and speech processing, sonar, radar, and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, data compression, video coding, audio coding, image compression, signal processing for telecommunications, control systems, biomedical engineering, and seismology, among others.

Signal processing (time domain, frequency domain, filters...

Computer-aided diagnosis (CAD) has long become an integral part of radiological management of breast disease, facilitating a number of important clinical applications, including quantitative assessment of breast density and early detection of malignancies based on X-ray mammography. Common to such applications is the need to automatically discriminate between breast tissue and adjacent anatomy, with the latter being predominantly represented by pectoralis major (or pectoral muscle). Especially in the case of mammograms acquired in the mediolateral oblique (MLO) view, the muscle is easily confusable with some elements of breast anatomy due to their morphological and photometric similarity. As a result, the problem of automatic detection and segmentation of pectoral muscle in MLO mammograms remains a challenging task, innovative approaches to which are still required and constantly searched.

Edge detection and object segmentation by machine learning

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5,0

$160,00 USD

Project for Hoso S. -- 2

He knew exactly what he was doing and he was patient with me as well. Communication was excellent and the work was flawless. Will definitely reach out to him for any future project.

Engineering

Matlab and Mathematica

Algorithm

Mathematics

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