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- 81%Tepat Pada Masa
- 21%Kadar Ulang Upah
Object Detection using Tensor-flow library and Python language.
“He knows the project and completed some part and run his system working. but when I try the program throw some error ask him teamviwer with the extra charge he unable to do it in my environment. Thanks to him because he tried hard.”hossainmdratan 3 hari lepas
Help me model biomedical data and compare learning rates of subjects
“uzairrzahid was nice and talented - I would work with him again.”lumhilda 6 hari lepas
reproduce a simple document in Visio
“Delivered fast, performed as promised.”rahzan minggu lepas
Project for uzairrzahid -- 3
“Very good work, knows what his client wants”tdavies97989 minggu lepas
Project for uzairrzahid -- 2
“very professional, knows exactly what you want”tdavies97989 minggu lepas
Need to develop classifiers for training set
“He's the best.. He helped me a lot. He actually learned stuff to help me. He was awake and working a lot for my work...I would go again and again to work with him. I bet he's gonna impress anyone he works with.”abhinishanth09 minggu lepas
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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