Results 21 to 30 of about 1,326,701 (238)

Improved Social Network User Recommendation System—The Machine Learning Approach

open access: yesEngineering Proceedings, 2023
In this paper, we propose a recommendation system for social media users which makes recommendations on the basis of the user profile information and the contents posted by users-the bio-aware algorithm. Text mining techniques are used to pre-process the
Yana A. Bekeneva, Titus U. Eze
doaj   +1 more source

Developing a predictive model using multivariate analysis and Long Short-Term Memory (LSTM) to assess corrosion degradation in mining pipeline thickness.

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
Pipeline corrosion has significant impacts on the human, economic, and natural environment. To help better detect and prevent it over time, in this paper, we propose a multivariate approach using machine learning.
Kalidou Moussa Sow, Nadia Ghazzali
doaj   +1 more source

Towards Recognition of Spatial Relations between Entities for Polish

open access: yesCognitive Studies | Études cognitives, 2016
Towards Recognition of Spatial Relations between Entities for Polish In this paper, the problem of spatial relation recognition in Polish is examined. We present the different ways of distributing spatial information throughout a sentence by reviewing ...
Michał Mirosław Marcińczuk   +2 more
doaj   +1 more source

Information Extraction [PDF]

open access: yesProceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
McNaught, John, Black, William
  +6 more sources

Toward Tweet-Mining Framework for Extracting Terrorist Attack-Related Information and Reporting

open access: yesIEEE Access, 2021
The widespread popularity of social networking is leading to the adoption of Twitter as an information dissemination tool. Existing research has shown that information dissemination over Twitter has a much broader reach than traditional media and can be ...
Farkhund Iqbal   +5 more
doaj   +1 more source

ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents

open access: yesFrontiers in Research Metrics and Analytics, 2021
Chemical patents represent a valuable source of information about new chemical compounds, which is critical to the drug discovery process. Automated information extraction over chemical patents is, however, a challenging task due to the large volume of ...
Jiayuan He   +19 more
doaj   +1 more source

Upacicalcet: A Novel Intravenous Calcimimetic Agent for Patients Undergoing Hemodialysis With Secondary Hyperparathyroidism

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa   +3 more
wiley   +1 more source

Information Extraction and Named Entity Recognition Supported Social Media Sentiment Analysis during the COVID-19 Pandemic

open access: yesApplied Sciences, 2021
Social media platforms are increasingly being used to communicate information, something which has only intensified during the pandemic. News portals and governments are also increasing attention to digital communications, announcements and response or ...
László Nemes, Attila Kiss
doaj   +1 more source

On Extractable Shared Information [PDF]

open access: yesEntropy, 2017
We consider the problem of quantifying the information shared by a pair of random variables X 1 , X 2 about another variable S. We propose a new measure of shared information, called extractable shared information, that is left monotonic; that is, the information shared about S is bounded from below by the information shared about f ( S
Johannes Rauh   +4 more
openaire   +3 more sources

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

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