Anam M. Profile

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$5 USD/uro

islamabad,

pakistan

$5 USD/uro

Trenutno je 2:38 dop. tukaj

Datum pridružitve november 10, 2020

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Anam M.

@anammumtaz325

5,0

(4 ocen)

2,4

67%

$5 USD/uro

islamabad,

pakistan

$5 USD/uro

80 %

Opravljeno delo

100 %

V okviru proračuna

100 %

Pravočasno

20 %

Stopnja ponovnega najema

Graphic Designer | Data Entry

I am expert in python, machine learning, image processing and graphic designing and data entry. I am having more than 5 years of experience in Data sciences, Artificial Intelligence and Graphic designing. I can work on any type of machine learning projects. I can also work on graphics. I can design logo, postures and flyers .I can do any type of Data Entry in Excel and word.

Glej vse Graphic Designers v Pakistan

Stopite v stik s/z Anam M. glede vašega dela

Prijavite se, da se o podrobnostih pogovorite v klepetu.

Portfelj

In this research we used CNN for classify the celula and nucleo and then subtype of Lukemia caner
from the blood sample. We used several pre-trained deep networks (Resnet101, InceptionV3 and
Inceptionresnetv2). These networks are used as fine-tuned on the label lukemia cancer dataset
under study and reported high classification rate.

Glioblastoma tumor detection from MRI

This research presents a caption text recognition system targeting Urdu text. The technique relies
on a holistic approach using ligatures as units of recognition. Data driven feature extraction
techniques are employed using a number of pre-trained deep convolution neural networks. The
networks are used as feature extractors as well as fine-tuned on the ligature dataset under study
and realized high ligature recognition rates.

Recognition of Urdu ligatures in Videos Frames

Glioblastoma tumor detection from MRI

Recognition of Urdu ligatures in Videos Frames

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5,0

$35,00 USD

Project for Anam M. -- 2

it was awesome to work with them ?

Graphic Design

Machine Learning (ML)

Database Programming

Image Processing

+1 več

Pearl S.

@AZOUV2

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Project for Anam M.

They were so kind and they did their best to do the work I’m happy that I had the chance to work with them

Graphic Design

Machine Learning (ML)

Database Programming

Image Processing

+1 več

Pearl S.

@AZOUV2

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pred 4 leti

5,0

$200,00 HKD

训练神经网络来计算CIFAR中的图像之间的相似度 Train a neural network to calculate the similarity between images in CIFAR.

Great to work with,Anam M, good at problem solving, experienced in coding and knowledgable. i would highly recommend Anam to anyone who needs help with their work, the quality of work you will receive fromAnam is worth the money. Good job.Thank you for your help.

Algorithm

Machine Learning (ML)

Neural Networks

Computer Science

MATLAB

Zhao Z.

@Miraitowawawa

•

pred 4 leti

5,0

$278,00 USD

SVM Machine Learning

Good Freelancer

Python

Matlab and Mathematica

Algorithm

Machine Learning (ML)

C++ Programming

Closed User

@fvqzooaarecvthw4

•

pred 4 leti

Izkušnje

Bahria University

nov. 2018 - nov. 2020 (2 leti)

Currently, I am working as a research assistant on a research project funded by Higher Education Commission (HEC).

Bahria University

sep. 2017 - sep. 2018 (1 leto)

My focal contributions were, 1) development of multiple solutions using deep learning techniques (CNN & LSTM) for recognition of Urdu ligature, 2) Labelled ground truth information.

Izobrazba

MS CS

Bahria University,

Pakistan

2016 - 2018

(2 leti)

BS CS

Bahria University,

Pakistan

2012 - 2016

(4 leta)

Kvalifikacije

Pakistan Software Export Board(PSEB),

2020

Certified Associate in python programming by Pakistan Software Export Board(PSEB), July-2020

Publikacije

Recognition of Cursive Caption Text Using Deep Learning-A Comparative Study on Recognition Units

Springer, Cham

In this paper, we employ CNN for recognition of ligatures segmented from caption text and a combination of convolutional and recurrent neural networks for recognition of characters from text line images. Experiments are carried out on 16,000 text lines containing cursive Urdu text extracted from videos of various News channels. The experimental results demonstrate that analytical techniques are more robust as compared to the holistic techniques.

Ligature Recognition in Urdu Caption Text using Deep Convolutional Neural Networks

Best Paper award 14- International Conference on Emerging Technology 21-22 November (2018).

In this paper presents a caption text recognition system targeting cursive text. The technique relies on a holistic approach using ligatures as units of recognition. Data driven feature extraction techniques are employed using a number of pre-trained deep convolution neural networks. The networks are used as feature extractors as well as fine-tuned on the ligature dataset under study and realized high ligature recognition rates.