Skin lesion image classification
“Great experience to work with Uzair. Thank you ! Did a great coding for me quickly and perfectly ! I highly recommend [login to view URL] good [login to view URL] understood the concepts and ideas very quickly and was greatly able to translate it into results.I will hire him again for the next tasks.”hala1989 2日前
Matlab help with the following
“Very professional. Will get work done on time.”JeryyBrown1 2ヶ月前
Project for uzairrzahid
“Very good work!”AIChief 2ヶ月前
“very friendly”itssnawaf 2ヶ月前
Project 18337544 has been deleted
“very nice work, I recommend uzairrzahid”lee988 2ヶ月前
MATLAB steganography code
“Freelancer is fast and is a good communicator. The quality of work is high and he was able to address all my questions and concerns even after submission. He’s great and ill definitaly hire him again.”Mwmkhalil 2ヶ月前
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%