This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Lakehead University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Intelligent Real-Time Face-Mask Detection System with Hardware Acceleration for COVID-19 Mitigation.
Healthcare (Basel, Switzerland) · 2022
Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas-Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries.
Polymers · 2021
Latest funding
- $75,000
Towards More Efficient and Accurate Deep Learning Models for Segmentation, Classification, and Tracking
NSERC · 2022 · Principal investigator
- $12,500
Towards More Efficient and Accurate Deep Learning Models for Segmentation, Classification, and Tracking
NSERC · 2022 · Principal investigator
2 publications.
Intelligent Real-Time Face-Mask Detection System with Hardware Acceleration for COVID-19 Mitigation.
Sertic P, Alahmar A, Akilan T, Javorac M, Gupta Y
Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas-Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries.
Hosseini S, Taylan O, Abusurrah M, Akilan T, Nazemi E, Eftekhari-Zadeh E, Bano F, Roshani GH
Towards More Efficient and Accurate Deep Learning Models for Segmentation, Classification, and Tracking
Principal investigators: Akilan, Thangarajah
Keywords: semantic segmentation; moving object segmentation; object tracking; machine learning; deep learning; image processing; computer vision
Towards More Efficient and Accurate Deep Learning Models for Segmentation, Classification, and Tracking
Principal investigators: Akilan, Thangarajah
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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