Titlebook: Deep Learning and Other Soft Computing Techniques; Biomedical and Relat Nguyen Hoang Phuong,Vladik Kreinovich Book 2023 The Editor(s) (if a

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1860-949X her applications areas, such as finance, transportation, physics.. .This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications—and to further develop thisimportant research direction..978-3-031-29449-5978-3-031-29447-1Series ISSN 1860-949X Series E-ISSN 1860-9503

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iR1mA-LSTM: Identifying N,-Methyladenosine Sites in Human Transcriptomes Using Attention-Based Bidirtional model called iR1mA-LSTM to predict 1mA sites in human transcriptomes using the Long Short-term Memory networks enhanced by an attention mechanism to improve the predictive power. We conducted repeated experiments to fairly estimate the robustness and stability of the model performance and ben

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Segmentation of the Abnormal Regions in Breast Cancer X-Ray Images Using U-Net this image is resized into 512 × 512 pixels. Our network achieves an average Dice of 0.74357. We have compared segmentation masks of model prediction with doctors’ annotation masks. The result shows that the segmentation model has performed well. Finally, our system combines the segmentation result

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Semantic Integration and Interoperabilityhe size of the gaps between brain cells decreases, this leads to severe headaches and other undesired effects. At present, there is no universally accepted explanation for this phenomenon. In this case, we show that the analysis of corresponding geometric symmetries leads to a natural explanation for this effect.

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Why FLASH Radiotherapy is Efficient: A Possible Explanation fears are unfounded; moreover, transmitting the whole radiation dose in a shorter time turns out to be more beneficial for the patients. In this paper, we provide a possible geometric explanation for this empirical phenomenon.