Results 201 to 210 of about 2,534,483 (361)

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

Advanced Electronic Materials, EarlyView.
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan   +4 more
wiley   +1 more source

An analysis of the impact of administrative approval reform on the technological complexity of manufacturing exports. [PDF]

PLoS One
Jiang T, Zhang Z.
europepmc   +1 more source

Dry Battery Electrode Technology: From Early Concepts to Industrial Applications

Advanced Energy Materials, EarlyView.
This review highlights dry battery electrode coating as a promising approach toward environmentally friendly and efficient battery electrode production. It focuses on polytetrafluoroethylene binder based dry film methods and summarizes the historical background, recent developments for lithium‐Ion and next‐generation batteries, as well as approaches ...
Benjamin Schumm, Arthur Dupuy, Milena Lux, Christian Girsule, Susanne Dörfler, Florian Schmidt, Magdalena Fiedler, Maria Rosner, Felix Hippauf, Stefan Kaskel   +9 more
wiley   +1 more source

Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics. [PDF]

Sci Rep
Darwish SM, Salama AI, Elzoghabi AA.
europepmc   +1 more source

The Value of Device Characterization for the Optimization of Organic Solar Cells

Advanced Energy Materials, EarlyView.
Using the example of organic photovoltaics (OPV), this study examines whether and when additional measurements can be helpful in process optimization. A virtual laboratory based on real solar cells serves as a benchmark function to compare two different approaches for process optimization, namely black‐box optimization (black circle) and model‐based ...
Leonard Christen, Barbara Urbano, Anne Krause, Paula Hartnagel, Thomas Kirchartz   +4 more
wiley   +1 more source

Food Safety Distribution Systems Using Private Blockchain: Ensuring Traceability and Data Integrity Verification. [PDF]

Foods
Oh SE, Kim JH, Kim JY, Ahn JH.
europepmc   +1 more source

Stringency and dissimilarity of Maximum Residue Levels affect bilateral agri‐food trade stability

Applied Economic Perspectives and Policy, EarlyView.
Abstract Food standards are rising in both prevalence and stringency. They protect consumers and may enhance demand stability but also pose compliance challenges to producers, with ambiguous effects on the stability of trade relationships. We analyze the impact of importers' Maximum Residue Levels (MRLs) along with bilateral MRL dissimilarity between ...
Helena Engemann, Yaghoob Jafari, Thomas Heckelei   +2 more
wiley   +1 more source

A traceable authentication system based on blockchain for decentralized physical infrastructure networks. [PDF]

Sci Rep
Liu L, Omote K.
europepmc   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

Applied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev, Jeremy Jelliffe, Dongin Kim, Sandro Steinbach   +3 more
wiley   +1 more source

Real estate valuation with multi-source image fusion and enhanced machine learning pipeline. [PDF]

PLoS One
Deng L.
europepmc   +1 more source