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
Analysis of Acupoint Selection Rules for Guasha Treatment of Primary Headaches Based on Data Mining [Response to Letter]. [PDF]
Zhang X, Huang X, Ni F, Yang D, Xu M.
europepmc +1 more source
Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
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
Ferroptosis regulation by traditional chinese medicine for ischemic stroke intervention based on network pharmacology and data mining. [PDF]
Lei J+5 more
europepmc +1 more source
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]
Hosseini N+9 more
europepmc +1 more source
Data mining for text categorization with semi-supervised agglomerative hierarchical clustering
Antonio G�mez Skarmeta+2 more
openalex +1 more source
Solid‐Phase Upcycling Toward the Production of Ultrahigh‐Loading Single‐Atom Catalysts
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
A literature review of "lawful" text and data mining. [PDF]
Vrakas G.
europepmc +1 more source
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
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