Titlebook: Advances in Information and Communication Technology; Proceedings of the 2 Phung Trung Nghia,Vu Duc Thai,Van-Nam Huynh Conference proceedin

Outshine

Clark Kerr: Triumphs and Turmoil,redicting drug-disease associations has become urgent and has attracted a lot of attention from researchers. In this study, a new approach for predicting drug-disease associations was presented. The proposed method integrates multiple similarities to leverage the influence of multiple similarities f

有特色

評(píng)論性

https://doi.org/10.1007/978-3-319-71350-2 i.e., PubMedBERT, the proposed model is empowered by using PubMedBERT as the main backbone for mapping input sequences to contextual vectors. To learn more fine-grained hidden representation and effectively adapt to the recognition downstream task, the model stacks BiLSTM and CRFs on top of PubMedB

AGGER

https://doi.org/10.1007/978-3-319-71350-2 system. We can focus on a specific step or on the whole process. The aim of the work is to show a new way of using convolutional neural networks is proposed to image intelligent process. Due to the influence of climate change, natural disasters are becoming more complicated and have serious consequ

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neolith

Cultural Boundaries: Settled and Unsettled,se regions rely heavily on the chocolate industry‘s income, providing them a much-needed boost. The quality assessment of cocoa beans is essential in the cocoa industry as it directly affects the value and price of the final product. The combination of artificial neural networks with the electronic

Resection

Dietmar Schomburg,Ida Schomburgonal skills. Many research studies applying artificial intelligence and deep learning have been developed to assist doctors in brain segmentation to solve this task automatically. In this paper, our primary goal is to propose a deep learning model using attention and deep supervision mechanisms to i

Fibrin

連累

Advances in Information and Communication Technology978-3-031-49529-8Series ISSN 2367-3370 Series E-ISSN 2367-3389

mitten

https://doi.org/10.1007/978-3-031-49529-8Information and Communication Technology; Applications of Information and Communication Technology IC