Results 121 to 130 of about 19,165 (241)

Density-equalized RANDT scan matching with integrated outlier removal and point density uniformity. [PDF]

PLoS One
Johnson A, Subramaniam U, Kim H, J DU.
europepmc   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data. [PDF]

Nat Commun
Turki AT, Fan Y, Hernández-Sánchez A, Silva W, Fleming S, Yalcin K, Van Elssen CHMJ, Madanat Y, Karasek M, Aljurf M, Della Porta MG, Martinez-Roca A, Guarnera L, Steffen K, Antoniou E, Rivas MM, Mishra DK, Blum AT, Manantsoa SN, Adiat A, Enshaei A, Thol F, Voso MT, Chen J, Elhassan TA, Moorman AV, Vidriales MB, Neuendorff NR, Koc A, Mishra P, Strumberg D, Fourmanov RS, Heine L, Kleesiek J, Munárriz D, Asti G, Mokoonlall M, Kometas M, Rego E, Mecklenbrauck R, Sobas M, Wu D, Nensa F, Engelke M.   +43 more
europepmc   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

Agribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris, Mark R. Manfredo, Michael N. Kozicki   +2 more
wiley   +1 more source

Adaptive multi-sensor point cloud fusion for geometric reconstruction toward digital twin construction based on quality-driven weight optimization. [PDF]

Sci Rep
Meng L, Liu Y, Zhu J.
europepmc   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Optimization of hospital resource scheduling efficiency based on dynamic weighted distance anomaly detection algorithm. [PDF]

Sci Rep
Liu Y, Mai L, Huang F, Zeng Z.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

The Signal in the Extreme: A Systematic Outlier Framework Identifies Discrete Immunometabolic Subtypes in Human and Cellular Models. [PDF]

Med Sci (Basel)
Garcia-Coste JJ, Aguayo-Cerón KA, Espinosa-Raya J, García-Rivero AA, López-Leyva C, Gutiérrez-Rojas RA, Vargas-De-León C, Romero-Nava R.   +7 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source