Results 1 to 10 of about 470,710 (269)
Complexity, 2023 Many real-world systems of various origins are capable of self-organization to the edge of a phase transition, characterized by avalanche-like behavior. Therefore, it is important, by observing the behavior of early warning measures for dynamical series ...
Andrey Dmitriev +3 more
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A large dataset of scientific text reuse in Open-Access publications
Scientific Data, 2023 We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains 91 million cases of reused text passages found in 4.2 million unique open-access publications.
Lukas Gienapp +4 more
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Using Deep-Learned Vector Representations for Page Stream Segmentation by Agglomerative Clustering
Algorithms, 2023 Page stream segmentation (PSS) is the task of retrieving the boundaries that separate source documents given a consecutive stream of documents (for example, sequentially scanned PDF files).
Lukas Busch +2 more
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Study of Various Data Mining Methods to Select the Appropriate Method for Managers to Make Decisions in Urban Management (Case Study: Tehran Municipality) [PDF]
علوم و فنون مدیریت اطلاعات, 2021 Purpose: The main purpose of this article is to analyze the data of the Tehran Municipality websites and provide data mining solutions for managers' decisions.Methodology: This research is fundamental and in terms of nature, it can be considered ...
Shayesteh Shojaei Karizaki +2 more
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Complications associated with pre-hospital open thoracostomies: a rapid review
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2021 Background Open thoracostomies have become the standard of care in pre-hospital critical care in patients with chest injuries receiving positive pressure ventilation.
Stian Mohrsen +3 more
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Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2020 The novel coronavirus SARS-CoV2 emerged in December 2019 and is now pandemic. Initial analysis suggests that 5% of infected patients will require critical care, and that respiratory failure requiring intubation is associated with high mortality.
Per P. Bredmose +9 more
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Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction
Entropy, 2023 An important challenge in machine learning is performing with accuracy when few training samples are available from the target distribution. If a large number of training samples from a related distribution are available, transfer learning can be used to
Nathan Cornille +3 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Electroencephalography-to-Text generation (EEG-to-Text), which aims to directly generate natural text from EEG signals has drawn increasing attention in recent years due to the enormous potential for Brain-computer interfaces.
Xiachong Feng +3 more
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Frontiers in Physics, 2023 Many different precursors are known, but not all of which are effective, i.e., giving enough time to take preventive measures and with a minimum number of false early warning signals.
Andrey Dmitriev +4 more
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UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning
IEEE Access, 2023 Traffic sign detection plays an important role in traffic safety and traffic management. In view of the complex and changeable environment and detection accuracy of traffic sign detection, this paper proposes UCN-YOLOv5 model based on the framework of ...
Peilin Liu, Zhaoyang Xie, Taijun Li
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