Results 171 to 180 of about 6,455,723 (294)

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

open access: yesAIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin   +2 more
wiley   +1 more source

Gas Natural Comprimido Vehicular: aspectos generales

open access: yes, 2005
Presenta los temas comunes a las áreas referentes al Gas Natural Vehicular, fundamentos, normatividad, seguridad, primeros auxilios, relación con el medio ambiente y relaciones humanas.It presents the common themes to the areas related to Vehicular ...
Montenegro Mier, Manuel Antonio
core  

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

10-0451 NATURAL GAS PIPELINE CO. OF AMERICA v. JUSTISS

open access: yes, 2011
10-0451
 Natural Gas Pipeline Company of America v. William Justiss, et al.
 from Lamar County and the Sixth District Court of Appeals, Texarkana
 For petitioner: Brett Busby, Houston
 For respondents: James R. Rodgers, Paris
 The issues are (1) whether
The Supreme Court of Texas
core  

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

open access: yesAdvanced 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   +1 more
wiley   +1 more source

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