Results 101 to 110 of about 459,037 (316)
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Advanced Materials Technologies, EarlyView.Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Spatial data mining in practice
, 2010 S.164-178Almost any data can be referenced in geographic space. Such data permit advanced analyses that utilize the position and relationships of objects in space as well as geographic background information.
Scheider, Simon +7 more
core +1 more source
Data mining: a reconsideration [PDF]
Journal of Economic Methodology, 2000 Data mining occurs because most economic hypotheses do not have a unique empirical interpretation but allow the econometrician much leeway in selecting conditioning variables, lags, functional forms, and sometimes the sample. The resulting problems are of interest not only to methodologists and philosophers concerned with how hypotheses are validated ...
openaire +3 more sources
Advanced Materials Technologies, EarlyView.ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi +4 more
wiley +1 more source
Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis [PDF]
International Journal of Mining and Geo-Engineering, 2015 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
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Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data [PDF]
, 2009 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
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Advanced Materials Technologies, EarlyView.A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano +4 more
wiley +1 more source
3D-STARNET: Spatial–Temporal Attention Residual Network for Robust Action Recognition
Applied SciencesExisting 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
Camp Lejeune Data Mining Technical Workgroup closeout report [PDF]
In June 2010, the US Department of Navy (DON) and the Agency for Toxic Substances and Disease Registry (ATSDR) established the DON/ATSDR Camp Lejeune Data Mining Technical Workgroup (hereafter referred to as \u201cWorkgroup\u201d). Building upon previous
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Domain Driven Data Mining (D3M)
, 2008 In deploying data mining into the real-world business, we have to cater for business scenarios, organizational factors, user preferences and business needs.
Longbing Cao, Cao, L
core +1 more source