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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]

open access: yesعلوم 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
doaj   +1 more source

Twitter Self-Organization to the Edge of a Phase Transition: Discrete-Time Model and Effective Early Warning Signals in Phase Space

open access: yesComplexity, 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
doaj   +1 more source

Using Deep-Learned Vector Representations for Page Stream Segmentation by Agglomerative Clustering

open access: yesAlgorithms, 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
doaj   +1 more source

A large dataset of scientific text reuse in Open-Access publications

open access: yesScientific 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
doaj   +1 more source

Complications associated with pre-hospital open thoracostomies: a rapid review

open access: yesScandinavian 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
doaj   +1 more source

Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction

open access: yesEntropy, 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
doaj   +1 more source

Decision support tool and suggestions for the development of guidelines for the helicopter transport of patients with COVID-19

open access: yesScandinavian 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
doaj   +1 more source

Aligning Semantic in Brain and Language: A Curriculum Contrastive Method for Electroencephalography-to-Text Generation

open access: yesIEEE 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
doaj   +1 more source

Effective precursors for self-organization of complex systems into a critical state based on dynamic series data

open access: yesFrontiers 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
doaj   +1 more source

Aggregated Deep Local Features for Remote Sensing Image Retrieval [PDF]

open access: yes, 2019
Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing Imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task.
Bondarev, Egor   +3 more
core   +12 more sources

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