Results 11 to 20 of about 676,335 (182)
The challenge of studying perovskite solar cells’ stability with machine learning
Frontiers in Energy Research, 2023 Perovskite solar cells are the most dynamic emerging photovoltaic technology and attracts the attention of thousands of researchers worldwide. Recently, many of them are targeting device stability issues–the key challenge for this technology–which has ...
Paolo Graniero +9 more
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Energies, 2023 Hydrogen energy is expected to become one of the most efficient ways to decarbonize global energy and transportation systems. Green hydrogen production costs are currently high but are likely to decline due to the economy of scale and learning-by-doing ...
Svetlana Revinova +3 more
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Learning Curves For Energy Technology: A Critical Assessment [PDF]
, 2007 In this paper, which forms a chapter in the forthcoming Book âDelivering a Low Carbon Electricity System: Technologies, Economics and Policyâ, Jamasb and Kohler revisit the literature on learning curves and their application to energy technology and ...
Jamasb, Tooraj, Kohler, Jonathan
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Behavioural profile effect of forestry machine operators in the learning process
Journal of Forest Science, 2019 A lack of efficient operators for wood harvesting machines poses a great challenge. Here, our objective was to evaluate the effect of the behavioural profile on the productive efficiency of forwarder operators.
Millana Bürger Pagnussat +2 more
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GMS Journal for Medical Education, 2019 Objective: To compare the cumulative pregnancy rate (CPR) for experienced clinicians and trainees naive to the skill of embryo transfer (ET) during an assisted reproductive treatment (ART) cycle.
Mittal, Monica +5 more
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Surfing the Modeling of pos Taggers in Low-Resource Scenarios
Mathematics, 2022 The recent trend toward the application of deep structured techniques has revealed the limits of huge models in natural language processing. This has reawakened the interest in traditional machine learning algorithms, which have proved still to be ...
Manuel Vilares Ferro +3 more
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Stimulating Investments in Energy Efficiency Through Supply Chain Integration
Energies, 2018 Attention to energy efficiency is recently experiencing substantial growth. To overcome the several barriers currently existing that represent an obstacle to the successful implementation of the wide set of energy efficiency measures available, the ...
Beatrice Marchi +3 more
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Construction Procurement: Modelling Bidders’ Learning in Recurrent Bidding [PDF]
, 2015 Construction remains a significant area of public expenditure. An understanding of the process of changes in construction pricing, and how the process can be manipulated through the release of bidding feedback information is vital, in order to best ...
Ling, Florence Yean Yng +2 more
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Learning Curves for Mutual Information Maximization [PDF]
, 2003 An unsupervised learning procedure based on maximizing the mutual information between the outputs of two networks receiving different but statistically dependent inputs is analyzed (Becker and Hinton, Nature, 355, 92, 161).
E. Barkai +4 more
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Alchemical and structural distribution based representation for improved QML
, 2017 We introduce a representation of any atom in any chemical environment for the generation of efficient quantum machine learning (QML) models of common electronic ground-state properties.
Feifei Ren (558363) +5 more
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