Results 261 to 270 of about 21,934,771 (354)

Exploring Salinity Gradient Power in Sweden: Key Factors, Machine Learning Predictive Modeling, and Life Cycle Assessment

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study optimizes salinity gradient power generation using reverse electrodialysis (RED) by analyzing key operational parameters through factorial experiments and machine learning. Life cycle assessment reveals RED environmental impact and sustainability compared to other renewables, offering insights into future material choices and system ...
Younes Mohammadi   +5 more
wiley   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio   +2 more
wiley   +1 more source

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

open access: yesAgribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin   +1 more
wiley   +1 more source

Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach. [PDF]

open access: yesSci Rep
Hosseini N   +9 more
europepmc   +1 more source

Data mining for text categorization with semi-supervised agglomerative hierarchical clustering

open access: gold, 2000
Antonio G�mez Skarmeta   +2 more
openalex   +1 more source

Solid‐Phase Upcycling Toward the Production of Ultrahigh‐Loading Single‐Atom Catalysts

open access: yesAggregate, EarlyView.
Guided by AI‐driven big‐data analysis, this study reports a solid‐phase upcycling strategy to transform spent catalysts into ultrahigh‐loading single‐atom catalysts (SACs) with superior catalytic performance, addressing the critical imbalance between metal demand and resource conservation in catalysis.
Guanwu Lian   +13 more
wiley   +1 more source

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

open access: yesAdvanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng   +10 more
wiley   +1 more source

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