Results 21 to 30 of about 85,074 (191)
This research provides a machine learning (ML) method to predict the optical density of photovoltaic (PV) polymers. The results show that extra gradient boosting regressor and random forest regressor are the best-performing models among all the tested ML
Aljaafreh Mamduh J., Hassan Abrar U.
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C4 olefin production conditions optimizing based on a hybrid model
The yield of C4 olefin is often low due to the complexity of the associated products. Finding the optimal ethanol reaction conditions requires repeated manual experiments, which results in a large consumption of resources. Therefore, it is challenging to
Yancong Zhou +3 more
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SHAP Enrollment and Eligibility Activities: Implications for Process and System Modernization Under National Health Reform [PDF]
Shares five states' experiences and best practices in using State Health Access Program grants to expand public health coverage through community-based outreach and improved eligibility and enrollment processes, as well as implications for federal ...
Brigette Courtot, Teresa A. Coughlin
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Machine learning-guided synthesis of advanced inorganic materials
Synthesis of advanced inorganic materials with minimum number of trials is of paramount importance towards the acceleration of inorganic materials development.
Chouhan, Tushar +9 more
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Geochronology (Re–Os and U–Pb) and fluid inclusion studies of molybdenite mineralisation associated with the Shap, Skiddaw and Weardale granites, UK [PDF]
Late Devonian magmatism in Northern England records key events associated with the Acadian phase of the Caledonian-Appalachian Orogen (C-AO). Zircon U-Pb and molybdenite Re-Os geochronology date emplacement and mineralisation in the Shap (405·2±1·8 Ma ...
Conliffe, J. +3 more
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OSL investigations at Hardisty, Alberta, Canada [PDF]
This report is concerned with optically stimulated luminescence (OSL) dating investigations of sediments associated with, and enclosing artefacts of First Nations historic significance in the Battle River Valley area, near Hardisty, east central ...
Kinnaird, Tim C. +2 more
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Sector-specific financial forecasting with machine learning algorithm and SHAP interaction values
This study examines the application of machine learning models to predict financial performance in various sectors, using data from 21 companies listed in the BIST100 index (2013-2023).
Ergenç Cansu, Aktaş Rafet
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Statistical spoken dialogue systems have the attractive property of being able to be optimised from data via interactions with real users. However in the reinforcement learning paradigm the dialogue manager (agent) often requires significant time to ...
Gasic, Milica +5 more
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Against the strategic backdrop of "Digital-China" and the "Dual-Carbon" goals, the synergistic advancement of digital economy and carbon emission reduction is crucial for achieving high-quality, sustainable development.
Zhang Qianwei, Xi Guangliang
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Innovate Magazine / Annual Review 2009-2010 [PDF]
https://scholarworks.sjsu.edu/innovate/1002/thumbnail ...
San Jose State University
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