Optimized face detector-based intelligent face mask detection model in IoT using deep learning approach
RAS Naseri, A Kurnaz, HM Farhan - Applied Soft Computing, 2023 - Elsevier
The growth of the “Internet of Medical Things (IoMT)” allows for the collection and processing
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
of data in healthcare systems. At the same time, it is challenging to study the requirements of …
MFL-Net: An efficient lightweight multi-scale feature learning CNN for COVID-19 diagnosis from CT images
Timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) is crucial in curbing
its spread. Slow testing results of reverse transcription-polymerase chain reaction (RT-PCR) …
its spread. Slow testing results of reverse transcription-polymerase chain reaction (RT-PCR) …
Classifier fusion for detection of COVID-19 from CT scans
Abstract The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-
CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This …
CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This …
Automated diagnosis of COVID-19 using deep features and parameter free BAT optimization
Background: Accurate and fast diagnosis of COVID-19 is very important to manage the
medical conditions of affected persons. The task is challenging owing to shortage and …
medical conditions of affected persons. The task is challenging owing to shortage and …
In-situ detection method of jellyfish based on improved faster R-CNN and FP16
B Weihong, J Yun, L Jiaxin, S Lingling… - IEEE …, 2023 - ieeexplore.ieee.org
In recent years, large numbers of jellyfish have congregated in marine areas, leading to a
decline in other plankton and fisheries. Jellyfish themselves have a certain toxicity and …
decline in other plankton and fisheries. Jellyfish themselves have a certain toxicity and …
Application of the transfer learning method in multisource geophysical data fusion
P Lv, G Xue, W Chen, W Song - Journal of Geophysics and …, 2023 - academic.oup.com
Using multigeophysical exploration techniques is a common way for deep targets to be
explored in complex survey areas. How to locate an unknown underground target using …
explored in complex survey areas. How to locate an unknown underground target using …
[HTML][HTML] UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images
F Valeri, M Bartolucci, E Cantoni… - Journal of Medical …, 2023 - spiedigitallibrary.org
PurposeThe aim of this work is the development and characterization of a model observer
(MO) based on convolutional neural networks (CNNs), trained to mimic human observers in …
(MO) based on convolutional neural networks (CNNs), trained to mimic human observers in …
GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images
Accurate and rapid diagnosis of COVID-19 is crucial for curbing its fast spread across the
globe, with constant mutations leading to newer variants. Recent studies have exhibited that …
globe, with constant mutations leading to newer variants. Recent studies have exhibited that …
COVID-19 Detection from Lung CT Scan Using Transfer Learning Models
Initial prognosis of the COVID-19 is vital for pandemic avoidance. Nowadays, The lung
infection driven by SARS-CoV-2 has spread throughout the world, urged the World Health …
infection driven by SARS-CoV-2 has spread throughout the world, urged the World Health …