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Performance analysis of different loss function in face detection architectures. (2020)
Presentation / Conference Contribution
FERDOUS, R.H., ARIFEEN, M.M., EIKO, T.S. and AL MAMUN, S. 2020. Performance analysis of different loss function in face detection architectures. In Kaiser, M.S., Bandyopadhyay, A., Muhmad, M. and Ray, K. (eds.) Proceedings of International conference on trends in computational and cognitive engineering 2020 (TCCE-2020), 17-18 December 2020, Dhaka, Bangladesh. Singapore: Springer [online], 659-669. Available from: https://doi.org/10.1007/978-981-33-4673-4_54

Masked face detection is a challenging task due to the occlusions created by the masks. Recent studies show that deep learning models can achieve effective performance for not only occluded faces but also for unconstrained environments, illuminations... Read More about Performance analysis of different loss function in face detection architectures..

Blockchain-enable contact tracing for preserving user privacy during COVID-19 outbreak. (2020)
Preprint / Working Paper
ARIFEEN, M.M., AL MAMUN, A., KAISER, M.S. and MAHMUD, M. 2020. Blockchain-enable contact tracing for preserving user privacy during COVID-19 outbreak. Preprints [online]. Available from: https://doi.org/10.20944/preprints202007.0502.v1

Contact tracing has become an indispensable tool of various extensive measures to control the spread of COVID-19 pandemic due to novel coronavirus. This essential tool helps to identify, isolate and quarantine the contacted persons of a COVID-19 pati... Read More about Blockchain-enable contact tracing for preserving user privacy during COVID-19 outbreak..