Expert Systems with Applications, Год журнала: 2023, Номер 223, С. 119790 - 119790
Опубликована: Март 14, 2023
Язык: Английский
Expert Systems with Applications, Год журнала: 2023, Номер 223, С. 119790 - 119790
Опубликована: Март 14, 2023
Язык: Английский
Information Fusion, Год журнала: 2021, Номер 76, С. 355 - 375
Опубликована: Июль 5, 2021
Язык: Английский
Процитировано
207Multimedia Systems, Год журнала: 2021, Номер 29(3), С. 1729 - 1738
Опубликована: Апрель 28, 2021
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across the globe. exponential rise in cases burdens healthcare facilities, and a vast amount multimedia data being explored to find solution. This study presents practical solution detect from chest X-rays while distinguishing those normal impacted by Viral Pneumonia via Deep Convolution Neural Networks (CNN). In this study, three pre-trained CNN models (EfficientNetB0, VGG16, InceptionV3) are evaluated through transfer learning. rationale selecting these specific their balance accuracy efficiency with fewer parameters suitable mobile applications. dataset used publicly available compiled different sources. uses deep learning techniques performance metrics (accuracy, recall, specificity, precision, F1 scores). results show that proposed approach produced high-quality model, an overall 92.93%, COVID-19, sensitivity 94.79%. work indicates definite possibility implement computer vision design enable effective screening measures.
Язык: Английский
Процитировано
190Information Fusion, Год журнала: 2021, Номер 76, С. 376 - 421
Опубликована: Июль 10, 2021
Язык: Английский
Процитировано
185Cluster Computing, Год журнала: 2022, Номер 26(4), С. 2271 - 2311
Опубликована: Авг. 17, 2022
Язык: Английский
Процитировано
176Biomedical Signal Processing and Control, Год журнала: 2021, Номер 69, С. 102826 - 102826
Опубликована: Июнь 3, 2021
Язык: Английский
Процитировано
129Neural Computing and Applications, Год журнала: 2022, Номер 36(1), С. 111 - 131
Опубликована: Апрель 19, 2022
Язык: Английский
Процитировано
85Neurocomputing, Год журнала: 2024, Номер 577, С. 127317 - 127317
Опубликована: Янв. 26, 2024
Язык: Английский
Процитировано
58Information Fusion, Год журнала: 2024, Номер 110, С. 102472 - 102472
Опубликована: Май 16, 2024
Язык: Английский
Процитировано
33Biomedical Signal Processing and Control, Год журнала: 2021, Номер 68, С. 102717 - 102717
Опубликована: Май 18, 2021
The Internet of Things (IoT) is the most promising technology in health systems. IoT-based systems ensure continuous monitoring indoor and outdoor settings. Remote has revolutionized healthcare by connecting remote hard-to-reach regions. Specifically, during this COVID-19 pandemic, it imperative to have a system assess patients remotely curb its spread prematurely. This paper proposes framework that provides updated information Corona Patients vicinity thus identifiable data for locality cohorts. proposed model access an alarm-enabled bio wearable sensor early detection based on ontology method using sensory 1D Biomedical Signals such as ECG, PPG, temperature, accelerometer. ontology-based analyzes challenges encompassing security privacy issues. also simulated cooza simulator. During simulation, observed achieves accuracy 96.33 %, which establishes efficacy model. effectiveness strengthened efficient power consumption.
Язык: Английский
Процитировано
100Computers in Biology and Medicine, Год журнала: 2021, Номер 136, С. 104742 - 104742
Опубликована: Авг. 8, 2021
Язык: Английский
Процитировано
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