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- 85%På budsjett
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Project for Muhammad Uzair Z. -- 2
“nice work recommend it”Asmaa A. sist uke
Machine Learning - Neural Network with visualisation
“He was fast - the chat was nice - everything was on time and he did some extras for free on top! perfect man in his field! huge thanks to him again”Philipp sist uke
Project for Muhammad Uzair Z.
“He is very efficient in Matlab and computational analysis. I have full respect and confidence in his work. Happy to hire again and again. And deliver the work(s) before deadline.”Nizam Uddin A. 1 måned siden
Linear regression (machine learning) in Matlab
“Very professional work. I have problem with machine learning (linear regression) in MATLAB and Muhammad solved it fast and quality”Martin B. 1 måned siden
Clean existing code in Python
“Good job and customer support”Zachery D. 2 måneder siden
Project 20060665 has been deleted
“Did not delivered according to requirements. Poor communication overall and thinks he knows better than you. Wasted two weeks of my crucial time and did not read what was required.”Gilbert D. 2 måneder siden
Research AssistantJan 2018
I am working a project which involves object tracking and localization using live video feed from camera which will be used to help visually blind people.
Research AssistantApr 2017 - Sep 2017 (5 months)
I was involved in development of a portable, remote respiratory and physical activity monitoring system.
MS Electrical Engineering (Signal Processing and Machine Learning)2016 - 2018 (2 years)
BS Telecom2012 - 2016 (4 years)
Neural Networks and Deep Learning (2018)Coursera
Automatic classification of Atrial Fibrillation from single-lead ECG signals using DCT
Automated differentiation between Normal rhythm and Atrial fibrillation using single-lead ECG signals is a challenging problem under noisy conditions and motion artifacts. In this paper we will exploit discrete cosine transform to design signal processing and machine learning algorithms for automated classification of Normal Rhythm, AF and other sinus rhythms based on single-lead ECG signals.
Preferred Freelancer Program SLA87%
US English Level 175%
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