Results 91 to 100 of about 25,216,828 (261)
Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys
This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin +11 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
3D-STARNET: Spatial–Temporal Attention Residual Network for Robust Action Recognition
Existing skeleton-based action recognition methods face the challenges of insufficient spatiotemporal feature mining and a low efficiency of information transmission.
Jun Yang +5 more
doaj +1 more source
Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis [PDF]
Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of ...
Moslem Moradi +4 more
doaj
Background The socioeconomically disadvantaged populations are more likely to suffer from hypertension, and few have effectively treated and controlled their hypertension.
Fan Yang +4 more
doaj +1 more source
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data [PDF]
Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the ...
Konishi, Osamu +3 more
core
Homogeneous and heterogeneous distributed classification for pocket data mining [PDF]
Pocket Data Mining (PDM) describes the full process of analysing data streams in mobile ad hoc distributed environments. Advances in mobile devices like smart phones and tablet computers have made it possible for a wide range of applications to run in ...
May, D. +18 more
core +1 more source
The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang +11 more
wiley +1 more source
Interesting pattern mining in multi-relational data
Mining patterns from multi-relational data is a problem attracting increasing interest within the data mining community. Traditional data mining approaches are typically developed for single-table databases, and are not directly applicable to multi ...
Spyropoulou, Eirini +4 more
core +2 more sources
Remote sensing scene (RSS) classification is important for urban infrastructure development, analysis of nighttime economic activities, and energy consumption monitoring.
Daoquan Zhang +8 more
doaj +1 more source

