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Deep learning models for the diagnosis and screening of COVID-19: a systematic review. (2022)
Journal Article
SIDDIQUI, S., ARIFEEN, M.A., HOPGOOD, A., GOOD, A., GEGOV, A., HOSSAIN, E., RAHMAN, W., HOSSAIN, S., AL JANNAT, S., FERDOUS, R. and MASUM, S. 2022. Deep learning models for the diagnosis and screening of COVID-19: a systematic review. SN computer science [online], 3(5), article 397. Available from: https://doi.org/10.1007/s42979-022-01326-3

COVID-19, caused by SARS-CoV-2, has been declared as a global pandemic by WHO. Early diagnosis of COVID-19 patients may reduce the impact of coronavirus using modern computational methods like deep learning. Various deep learning models based on CT a... Read More about Deep learning models for the diagnosis and screening of COVID-19: a systematic review..

Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things. (2022)
Journal Article
ARIFEEN, M., GHOSH, T., ISLAM, R., ASHIQUZZAMAN, A., YOON, J. and KIM, J. 2022. Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things. Internet of things [online], 19, article 100575. Available from: https://doi.org/10.1016/j.iot.2022.100575

Conventional blockchain technologies developed for cryptocurrency applications involve complex consensus algorithms which are not suitable for resource constrained Internet of Things (IoT) devices. Therefore, several lightweight consensus mechanisms... Read More about Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things..