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Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
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Elsevier B.V.
, 2022 , Article)
6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ...
Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ...
COVID-19 infection map generation and detection from chest X-ray images
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ...
Classification of citrus plant diseases using deep transfer learning
(
Tech Science Press
, 2021 , Article)
In recent years, the field of deep learning has played an important role towards automatic detection and classification of diseases in vegetables and fruits. This in turn has helped in improving the quality and production ...
Design of optimal deep learning based human activity recognition on sensor enabled internet of things environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
In recent times, Human Activity Recognition (HAR) has become a major challenge to overcome among computer vision applications in day-To-day lives. HAR is mainly envisioned to be utilized in coordination with other technologies ...