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Jul 1, 2024 · DOI: 10.1016/j.cej.2024.153973 Corpus ID: 271252829; An averaged model for colloidal transport to exhibit hyper-exponential particle retention @article{Khazali2024AnAM, title={An averaged model for colloidal transport to exhibit hyper-exponential particle retention}, author={Nastaran Khazali and G.V.C. Malgaresi and Thomas Russell and Yuri V. Osipov and Ludmila I. Kuzmina and Pavel ...
1 day ago · Domain adaptation methods have been proposed to mitigate these problems. However, their performance is suboptimal because they are not sensitive to new events due to they aim to align the domain information between existing events, and they hardly capture the fine-grained difference between real and fake claims by only using semantic information.
4 days ago · In this work, we propose a novel network to extract multi-view semantic concepts from documents and images and align the matching rather than entire concepts. Specifically, we propose a semantic decomposition module to generate multi-view semantic embeddings from visual and textual sides, providing the basic concepts for partial alignment.
Jul 13, 2024 · View a PDF of the paper titled Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach, by Md Rakibul Islam and 5 other authors. Deep learning has achieved outstanding accuracy in medical image segmentation, particularly for objects like organs or tumors with smooth boundaries or large sizes.
5 days ago · The article serves as an introduction to the special section “Vulnerability: An Interdisciplinary Trialogue,” which brings together three researchers who have made important contributions to the field of vulnerability studies from different perspectives and in different disciplines: Elodie Boublil, Kate Brown, and Erinn Gilson. At the outset, the article discusses some characteristic ...
Jun 30, 2024 · TLDR. The genomic sequence and accompanying information presented here are expected to serve as valuable resources for the acceleration of fundamental and applied research with Eucalyptus, especially in the fields of paper production and industrial materials. Expand. 38. Highly Influential. PDF. 1 Excerpt.
Jul 1, 2024 · This work proposes a novel graph neural network-based architecture with dual contrastive learning and syntax label enhancement, designed to integrate sentiment information for semantics learning and shows its effectiveness in aspect-based sentiment classification tasks. Expand.
