Results 131 to 140 of about 21,934,771 (354)
Electrospun Vanadium Pentoxide (V2O5) Nanofibers for Enhanced Humidity Sensing
Advanced Sensor Research, EarlyView.Vanadium pentoxide (V2O5) nanofibers (NF) fabricated via electrospinning are analyzed and used for room‐temperature humidity sensing. Optimally performing porous NFs (∅ 200–500 nm) with high surface area (14.8 m2 g−1) are achieved at an annealing temperature of 500 °C.
Hankun Yang +6 more
wiley +1 more source
Current Issues in Molecular BiologyCitrus maxima ‘Shatian Yu’ displays varying nutritional profiles influenced by its production area. This study evaluated pomelo fruits from four primary and one developing ‘Shatian Yu’ production area. Notably, ‘Shatian Yu’ from the Guilin area exhibited
Yujiao Peng +6 more
doaj +1 more source
arXiv, 2018 The problem of frequent pattern mining has been studied quite extensively for various types of data, including sets, sequences, and graphs. Somewhat surprisingly, another important type of data, namely rank data, has received very little attention in data mining so far.
arxiv
Estimated water use in Ohio, 1990 -- Mining data [PDF]
, 1993 Ronald J. Veley
openalex +1 more source
Advanced Sustainable Systems, EarlyView.This study explores microalgae cultivation for wastewater treatment and enhancement of poly lactic acid (PLA)‐based biocomposites. It achieves up to 99.9% nutrient removal, increases biomass productivity by 322%, and demonstrates a triphasic luxury phosphorus uptake system. Incorporation into PLA improves fire‐retardant properties, suggesting potential
Rohit Dey +9 more
wiley +1 more source
Mining for treasures of information: data mining
Ceylon Journal of Medical Science, 2002 Data mining is relatively new in data analysis. It is a process that is used to explore and analyze large quantities of data in order to discover meaningful patterns or rules by automatic or semi-automatic means. Currently information-rich sectors benefit from this and most significant and hence profitable applications are in marketing.
openaire +2 more sources
SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes
Advanced Theory and Simulations, EarlyView.The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
wiley +1 more source
Electronic file of geochemical trace-element data for stream sediment samples collected in the Circle mining district, 1983 [PDF]
, 1994 M. A. Wiltse +3 more
openalex +1 more source
Advanced Theory and Simulations, EarlyView.This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas +2 more
wiley +1 more source
Recent Trends and Research Issues in Video Association Mining [PDF]
arXiv, 2011 With the ever-growing digital libraries and video databases, it is increasingly important to understand and mine the knowledge from video database automatically. Discovering association rules between items in a large video database plays a considerable role in the video data mining research areas. Based on the research and development in the past years,
arxiv