
Green Technologies and Sustainability, Год журнала: 2024, Номер unknown, С. 100158 - 100158
Опубликована: Дек. 1, 2024
Язык: Английский
Green Technologies and Sustainability, Год журнала: 2024, Номер unknown, С. 100158 - 100158
Опубликована: Дек. 1, 2024
Язык: Английский
International Journal of Science and Research Archive, Год журнала: 2024, Номер 11(2), С. 412 - 420
Опубликована: Март 18, 2024
Diagnosing and predicting the outcome of cardiovascular disease are essential tasks in medicine that help ensure patients receive accurate classification treatment from cardiologists. The use machine learning healthcare sector has grown due to its ability identify patterns data. By applying techniques classify presence diseases, it's possible decrease rate misdiagnosis. This study aims create a model capable accurately forecasting diseases minimize deaths associated with these conditions. In this paper, two types SVM such as linear polynomial is used. Accuracy, precision, recall F1 score been evaluated for comparing SVM. Polynomial provides better accuracy than
Язык: Английский
Процитировано
18World Journal of Advanced Research and Reviews, Год журнала: 2024, Номер 21(3), С. 274 - 283
Опубликована: Март 6, 2024
This review explores the synergistic relationship between advanced microscopy techniques and mechanical engineering, outlining their profound impact on materials science system design. We delve into multifaceted applications of electron microscopy, X-ray diffraction, spectroscopic methods in understanding microstructural dynamics, properties, failure mechanisms integral to engineering. Through a comprehensive synthesis recent research, we emphasize pivotal role these play optimizing material performance, bolstering structural integrity, driving innovation By elucidating intricate details behavior at microscale, contributes informed decision-making selection design processes. Furthermore, address emerging trends prospects, underscoring continued synergy collaboration remains forefront technology, promising ongoing advancements that will shape future landscape innovation.
Язык: Английский
Процитировано
9International Journal of Science and Research Archive, Год журнала: 2024, Номер 12(1), С. 767 - 773
Опубликована: Май 24, 2024
Pneumonia, a potentially fatal lung disease caused by viral or bacterial infection, poses challenges in diagnosis from chest X-ray images due to similarities with other infections. This research aims develop computer-aided system for pneumonia detection children, enhancing diagnostic accuracy. In this paper, five established deep learning models such as VGG-16, VGG-19, ResNet-50, Inception-V3, Xception pre-trained on ImageNet have been used. These applied the dataset optimize performance. provides recall, specificity, accuracy and AUC of 97.43%, 91.02%, 95.06% 94.23%, respectively.
Язык: Английский
Процитировано
9Research Square (Research Square), Год журнала: 2025, Номер unknown
Опубликована: Май 8, 2025
Язык: Английский
Процитировано
0Green Technologies and Sustainability, Год журнала: 2024, Номер unknown, С. 100158 - 100158
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
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