Results 101 to 110 of about 8,272,458 (291)

MACHINE LEARNING FOR FULLY AUTOMATED DETECTION OF VOLCANIC SEISMIC SIGNALS IN REAL SEISMIC RECORDS AT SINABUNG VOLCANO, NORTH SUMATRA

open access: yesRudarsko-geološko-naftni Zbornik
To mitigate damage from volcanic disasters, experts conduct thorough monitoring mainly through observing volcano earthquake types, as these patterns provide crucial insight into magma movement.
Bagas Anwar Arif Nur   +2 more
doaj   +1 more source

Learning Augmented Optimization: Faster, Better and Guaranteed

open access: yes, 2019
Presented on November 20, 2019 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116.Zhangyang (Atlas) Wang is an Assistant Professor of Computer Science and Engineering at Texas A&M University. Dr.
Wang, Zhangyang
core  

A Review of the State of the Art of Machine Learning on the Semantic Web [PDF]

open access: yes, 2003
This paper reviews the current state of the art of machine learning applied to the Semantic Web. It looks at the Semantic Web and its languages, including RDF and OWL, from a machine learning perspective.
Price, SN
core  

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +1 more source

Automation of Predictive Maintenance: An Experimental Framework for Aircraft Landing Gear

open access: yesEngineering Reports
Terabytes of data are recorded per flight by modern aircraft, providing a goldmine for predictive maintenance modeling, however, the required domain knowledge to build ML tools limits the number developed by airline manufacturers each year.
Izaak Stanton   +3 more
doaj   +1 more source

Identifying Correlated Functional Brain Network Patterns Associated with Touch Discrimination in Survivors of Stroke Using Automated Machine Learning

open access: yesApplied Sciences
Stroke recovery is multifaceted and complex. Machine learning approaches have potential to identify patterns of brain activity associated with clinical outcomes, providing new insights into recovery.
Alistair Walsh   +2 more
doaj   +1 more source

Machine Learning and Automation

open access: yes, 2019
Biodiversity_Next: Biodiversity 101 SessionDate: 21 October 2019Location: Leiden, NetherlandsAn overview of machine learning and automation in the context of natural history specimen and literature digitisation and linkage.
openaire   +1 more source

In‐House Manufacturing of 3D ECM Culture Chips via Vacuum Thermoforming for Enhanced Imaging Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Desktop vacuum thermoforming enables rapid, low‐cost fabrication of 96‐channel polystyrene culture chips with very thin imaging interfaces. The resulting platform supports cell lines, primary cells, and patient‐derived organoids, and enables high‐resolution confocal microscopy and single‐cell visualization, providing an accessible approach for advanced
Aleksandra Fomina   +5 more
wiley   +1 more source

AutoQML - a Framework for Automated Quantum Machine Learning

open access: yes
In this work, we present AutoQML, a framework that seamlessly integrates Quantum Machine Learning (QML) algorithms into Automated Machine Learning (AutoML).
Tutschku, Christian Klaus   +5 more
core   +1 more source

Automated Prediction Method of Building Outdoor Wind Environment Based on SST-DT Strategy

open access: yesBuildings
With the acceleration of urbanization and the intensification of climate change, wind conditions have become a critical factor in architectural design. They not only affect a building’s wind resistance but also influence ventilation, pollutant dispersion,
Lin Sun, Guohua Ji, Shaoqian Wang
doaj   +1 more source

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