Results 1 to 10 of about 1,603 (134)

Fusing Direct and Indirect Measurements Through Multi-Fidelity Learning For Accelerated Electrocaloric Materials Discovery. [PDF]

Adv Sci (Weinh)
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Wang B, Dang P, Tian Y, He Z, Gu W, Zhang L, Lookman T, Zhou Y, Xue D.   +8 more
europepmc   +2 more sources

Data-driven spatial metamodeling for non-Gaussian digital roughness mapping in precision machining [PDF]

Scientific Reports
Turning-based precision machining produces non-Gaussian spatial surface topographies, inherently defined by skewness ( $$R_{sk}$$ ) and kurtosis ( $$R_{ku}$$ ), which govern surface quality, tribology, and functional performance of the machined workpiece.
Prithbey Raj Dey, David Enke
doaj   +2 more sources

Geographical variations of health facilities management teams’ functionality in Ethiopia: Spatial analysis of Ethiopian Service Provision Assessment (SPA) 2021-2022 [PDF]

SAGE Open Medicine
Objectives The study aimed to assess the spatial distribution of Health Facility Management Teams (HFMTs) functionality and identify geographic hotspots of non-functionality among Ethiopian health facilities.
Endalkachew Mesfin Gebeyehu, Aznamariam Ayres, Shimels Derso Kebede, Eyob Tilahun Abeje, Lakew Asmare, Fekade Demeke Bayou, Asnakew Molla Mekonen   +6 more
doaj   +2 more sources

An Overview of Kriging and Cokriging Predictors for Functional Random Fields

Mathematics, 2023
This article presents an overview of methodologies for spatial prediction of functional data, focusing on both stationary and non-stationary conditions.
Ramón Giraldo, Víctor Leiva, Cecilia Castro   +2 more
doaj   +3 more sources

Revolutionising Agricultural Sustainability: New 'Furrow Tillage' can Mitigate Short-Term Soil-to-Atmosphere CO₂ Flux and Promote Soil-Plant-Microbe Health. [PDF]

Adv Sci (Weinh)
Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Majumdar A, Upadhyay MK, Ghosh A, Biswas R, Loizou IK, Buck M, Tibbett M, Giri B, Moulick D, Kumar Jaiswal M, Roychowdhury T.   +10 more
europepmc   +2 more sources

Separation Reliability Analysis for the Low-Shock Separation Nut with Mechanism Motion Failure Mode

Aerospace, 2022
A functional reliability simulation method based on the Kriging model is proposed to efficiently evaluate the functional reliability of low-shock separation nuts.
Lei Niu, Hongmao Tu, Haiping Dong, Nan Yan   +3 more
doaj   +1 more source

Functional Kriging for Spatiotemporal Modeling of Nitrogen Dioxide in a Middle Eastern Megacity

Atmosphere, 2022
Long-term hour-specific air pollution exposure estimates have rarely been of interest in epidemiological research. However, this can be relevant for studies that aim to estimate the residential exposure for the hours that subjects mostly spend time there,
Elham Ahmadi Basiri, Seyed Mahmood Taghavi-Shahri, Behzad Mahaki, Heresh Amini   +3 more
doaj   +1 more source

Parameter Analysis and Optimization of Annular Jet Pump Based on Kriging Model

Applied Sciences, 2020
Jet pump efficiency heavily relies on the geometrical parameters of the pump design and parameter global optimization in the full variable space is still a big challenge.
Kai Xu, Gang Wang, Liquan Wang, Feihong Yun, Wenhao Sun, Xiangyu Wang, Xi Chen   +6 more
doaj   +1 more source

Anomaly detection in geostatistical models with application to groundwater level data in the Gaza Coastal Aquifer [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2022
In geostatistics, the detection of anomalous observations has a particular importance because of the changes they can create in environmental and geological patterns. Few methods for detecting such observations in univariate data have been proposed for
Ali H. Abuzaid, Diana A. Aish, Maroua Benghoul   +2 more
doaj   +1 more source

D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data

Journal of Statistical Software, 2021
Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time.
Yaqiong Wang, Francesco Finazzi, Alessandro Fassò   +2 more
doaj   +1 more source