Results 111 to 120 of about 5,778,654 (336)
Advanced Functional Materials, EarlyView.The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich +6 more
wiley +1 more source
Induction of Ordinal Decision Trees [PDF]
This paper focuses on the problem of monotone decision trees from the point of view of the multicriteria decision aid methodology (MCDA). By taking into account the preferences of the decision maker, an attempt is made to bring closer similar research ...
Bioch, J.C., Popova, V.
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Optimal decision trees for categorical data via integer programming
Journal of Global Optimization, 2021 O. Günlük +4 more
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Glyphosate (GLY) and its primary metabolite, aminomethylphosphonic acid (AMPA), are photodegraded using a poly(vinylidene fluoride) membrane with immobilized titanium dioxide (PVDF‐TiO2) in a continuous flow‐through operation under solar light. At optimized conditions, the PVDF‐TiO2 membrane achieved 95% GLY and 80% AMPA removal with •O2− as the ...
Phuong B. Trinh +4 more
wiley +1 more source
Sparse Projection Oblique Randomer Forests
, 2019 Decision forests, including Random Forests and Gradient Boosting Trees, have recently demonstrated state-of-the-art performance in a variety of machine learning settings.
Browne, James +10 more
core
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Data Mining Decision Trees in Economy [PDF]
Data Mining represents the extraction previously unknown, and potentially useful information from data. Using Data Mining Decision Trees techniques our investigation tries to illustrate how to extract meaningful socio-economical knowledge from large data
Badulescu, Laviniu-Aurelian +1 more
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GMM Clustering-Based Decision Trees Considering Fault Rate and Cluster Validity for Analog Circuit Fault Diagnosis [PDF]
, 2019 Junyou Shi, Qingjie He, Zili Wang
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