Results 171 to 180 of about 906,093 (293)
Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization. [PDF]
Wei R, Chen H, Wang H.
europepmc +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Research on water quality prediction of Jiangshan Port based on SCV-CBA model. [PDF]
Xu Y, Liu Z.
europepmc +1 more source
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
Machine Learning on Low-Cost Edge Devices for Real-Time Water Quality Prediction in Tilapia Aquaculture. [PDF]
Nuangpirom P +5 more
europepmc +1 more source
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan +4 more
wiley +1 more source
Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction. [PDF]
Long J, Lu C, Lei Y, Chen ZY, Wang Y.
europepmc +1 more source
This study investigates the tribological response of 60NiTi alloy under dry, water‐lubricated and high‐temperature conditions. The alloy exhibits decreasing wear volume and friction with increasing temperature due to the formation of protective oxide layers. The work clarifies dominant wear mechanisms and demonstrates the suitability of 60NiTi for high‐
Anthony Onyebuchi Okoani +2 more
wiley +1 more source
Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. [PDF]
Alharbi AH +6 more
europepmc +1 more source
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller +6 more
wiley +1 more source

