Constrained Flooding Based on Time Series Prediction and Lightweight GBN in BLE Mesh. [PDF]
Li J, Li M, Wang L.
europepmc +1 more source
Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction. [PDF]
Castillo O+3 more
europepmc +1 more source
This study explores the effects of pixel size and spacing when fabricating electroluminescent (EL) multipixel displays. COMSOL simulations identify the impact of pixel dimensions and spacing on electric field distribution and lighting efficiency. Flexible, high‐resolution EL pixel arrays are reverse offset printed, achieving a 96% reduction in pixel ...
Huanghao Dai+3 more
wiley +1 more source
Time series prediction model using LSTM-Transformer neural network for mine water inflow. [PDF]
Shi J, Wang S, Qu P, Shao J.
europepmc +1 more source
Comparative Study of Experimental Methods for Measuring Thermal Properties of 100Cr6 Steel Powders
This study investigates the thermal properties of 100Cr6 steel in both bulk and powder forms. Measuring the very low thermal conductivity typically exhibited by powders poses significant challenges. To address this, two novel measurement techniques—temperature gradient and finite laser pulse response—are introduced and evaluated by comparison with the ...
Junsheng Zhuo+8 more
wiley +1 more source
Prediction of the chaotic time series using support vector machines for fuzzy rule-based modeling
Wanzhao Cui+3 more
openalex +1 more source
Time Series Prediction of Gas Emission in Coal Mining Face Based on Optimized Variational Mode Decomposition and SSA-LSTM. [PDF]
Zhang J+7 more
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Mechanical Properties of Different Austenitic High‐Nitrogen Steel Grades Produced by Powder Mixtures
The effect of nitrogen content on the mechanical properties of austenitic stainless steels is investigated using tailored powder metallurgical processing. Different PM routes, including additive manufacturing, enable controlled nitrogen uptake and complex geometries.
Felix Radtke+6 more
wiley +1 more source
Research on time series prediction of multi-process based on deep learning. [PDF]
Zheng H+5 more
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In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund+6 more
wiley +1 more source