Results 51 to 60 of about 6,659,086 (346)
Frontiers in WaterHigh ammonium concentrations in groundwater (GW) pose substantial challenges to existing GW treatment systems, especially simplified systems like household sand filters (HSFs), which are commonly used for heavy metal removal in developing countries.
Ran Wei +7 more
doaj +1 more source
Open Geosciences, 2021 The increase of sulfide (S2−) during the water flooding process has been regarded as an essential and potential risk for oilfield development and safety.
Ji Qiuyan +4 more
doaj +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Optimized Predictive Coverage by Averaging Time‐Windowed Bayesian Distributions
Water Resources ResearchHydrogeological models require reliable uncertainty intervals that honestly reflect the total uncertainties of model predictions. The operation of a conventional Bayesian framework only produces realistic (interpretable in the context of the natural ...
Han‐Fang Hsueh +3 more
doaj +1 more source
Pandæsim: An Epidemic Spreading Stochastic Simulator
Biology, 2020 Many methods have been used to model epidemic spreading. They include ordinary differential equation systems for globally homogeneous environments and partial differential equation systems to take into account spatial localisation and inhomogeneity ...
Patrick Amar
doaj +1 more source
Frontiers in Environmental Science, 2021 In numerous applications of land-use/land-cover (LULC) classification, the classification rules are determined using a set of training data; thus, the results are inherently affected by uncertainty in the selection of those data.
Ke-Sheng Cheng +7 more
doaj +1 more source
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2015 Modern signal processing (SP) methods rely very heavily on probability and statistics to solve challenging SP problems. SP methods are now expected to deal with ever more complex models, requiring ever more sophisticated computational inference ...
M. Pereyra +6 more
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Simulation of Stochastic Blockchain Models [PDF]
2018 14th European Dependable Computing Conference (EDCC), 2018 This paper build the foundations of a simulation tool for blockchain-based applications. It takes advantage of the huge expressiveness and extensibility of PyCATSHOO framework to deal with the important variability of blockchain implementations and properties of interest.
Pierre-Yves Piriou, Jean-Francois Dumas
openaire +1 more source
Enhancing Bubble Removal in Geometry‐Optimized Electrodes
Advanced Engineering Materials, EarlyView.3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner +5 more
wiley +1 more source