Data mining for psychological profiling of track and field athletes and runners. [PDF]
Sanz-Fernández C+6 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
Machine Learning for Organic Fluorescent Materials
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong+7 more
wiley +1 more source
Novel approach to modeling ultra‐low temperature frost formation using Computational Fluid Dynamics
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
Reservoir Flow Field Characterization during Water Flooding: A Data Mining and Fuzzy Logic Approach. [PDF]
Liu H, Tong S, Zhu W, Wang F.
europepmc +1 more source
Abstract This study presents a data‐driven modeling and multi‐objective optimization framework for an integrated section of continuous pharmaceutical manufacturing, focusing on flow synthesis and continuous crystallization. To address data scarcity and trade‐offs among product quality, efficiency, and environmental impact, the framework combines ...
Yiming Ma+7 more
wiley +1 more source
Learning the rules of peptide self-assembly through data mining with large language models. [PDF]
Yang Z+3 more
europepmc +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren+6 more
wiley +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
Prediction of Mature Body Weight of Indigenous Camel (<i>Camelus dromedarius</i>) Breeds of Pakistan Using Data Mining Methods. [PDF]
Zaborski D+13 more
europepmc +1 more source