Results 281 to 290 of about 18,089,336 (358)
Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
Advanced 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
Agribusiness, 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
Quality Improvement using Data Mining in Manufacturing Processes
, 2009 Shuguang He, Zhen He, Gonca Alan, Li Li
openalex +1 more source
Solid‐Phase Upcycling Toward the Production of Ultrahigh‐Loading Single‐Atom Catalysts
Aggregate, 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
Novel approach to modeling ultra‐low temperature frost formation using Computational Fluid Dynamics
AIChE Journal, EarlyView.Abstract This study presents the development of a computational fluid dynamics model for predicting ultra‐low temperatures (less than −100°C). The frost formation rate was characterized using dimensionless numbers derived from operating conditions. To better capture the underlying physical phenomena of ultra‐low temperature frosting, various physical ...
Joshua Chang Qai Wong +4 more
wiley +1 more source
Process Mining Meets Abstract Interpretation
, 2010 Josep Carmona, Jordi Cortadella
openalex +1 more source
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Advanced 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
Advanced Intelligent Discovery, EarlyView.This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si +16 more
wiley +1 more source