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Liang Liu, Tianbin Li and Chunchi Ma
Three-dimensional (3D) models provide the most intuitive representation of geological conditions. Traditional modeling methods heavily depend on technicians? expertise and lack ease of updating. In this study, we introduce a deep learning-based method fo...
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Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer...
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Zohreh Madhoushi, Abdul Razak Hamdan and Suhaila Zainudin
Advancements in text representation have produced many deep language models (LMs), such as Word2Vec and recurrent-based LMs. However, there are scarce works that focus on detecting implicit sentiments with a small amount of labelled data because there ar...
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Stephanie Schoss, Oliver Ullrich, Jean-François Clervoy and David Scheffer
Earth?s mass generates a definitive Earth-vertical reference, shaping life?s evolution. Notably, these gravity models influence self-perception and the first-person viewpoint in the CNS, tied to bodily self-awareness and spatial orientation. Transitionin...
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Yannis Haralambous and Philippe Lenca
Motivated by the distinction between semantics and pragmatics as sub-disciplines of linguistics, shortly after Tim Berners-Lee introduced the Semantic Web in 2001, there have been works on its extension to the ?pragmatic level?. Twenty years later, the S...
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Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic...
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Asif Hussain Khan, Christian Micheloni and Niki Martinel
Blind image super-resolution (Blind-SR) is the process of leveraging a low-resolution (LR) image, with unknown degradation, to generate its high-resolution (HR) version. Most of the existing blind SR techniques use a degradation estimator network to expl...
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Yunxiang Xia, Tatsuma Okazaki, Kenya Uemura and Shinichi Izumi
Our work provided a simpler paradigm for measuring implicit body representation of the hand and highlighted its potential biomarker function for clinical practice in neurorehabilitation as it could be enlarged by repetitive peripheral magnetic stimulatio...
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Can Cui, Jiwei Qin and Qiulin Ren
Representation learning-based collaborative filtering (CF) methods address the linear relationship of user-items with dot products and cannot study the latent nonlinear relationship applied to implicit feedback. Matching function learning-based CF method...
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André Lanrezac, Benoist Laurent, Hubert Santuz, Nicolas Férey and Marc Baaden
(1) Background: We developed an algorithm to perform interactive molecular simulations (IMS) of protein alignment in membranes, allowing on-the-fly monitoring and manipulation of such molecular systems at various scales. (2) Methods: UnityMol, an advance...
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