Results 211 to 220 of about 45,729 (287)
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations. [PDF]
Obaidullah AJ, Mahdi WA.
europepmc +1 more source
An analytical framework delivers a closed‐form stress solution for lined compressed air energy storage chambers, enabling the determination of the minimum safe burial depth. The solution quantitatively evaluates lining support effectiveness, offering a reliable tool for chamber design and optimization.
Zeyuan Sun +3 more
wiley +1 more source
Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis. [PDF]
Lakbichi R +7 more
europepmc +1 more source
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor +3 more
wiley +1 more source
Cluster based WSN routing with MOGA and LSA optimization. [PDF]
Tan W, Wang F.
europepmc +1 more source
The Improvement of Harmony Search Algorithm
openaire +1 more source
Vegetation on the move: elevational shifts and greening dynamics across the Himalayan alpine zone
This study investigates alpine ‘vegetation line' (the upper limit of continuous plant community) dynamics in the Himalayan alpine zone (HAZ) over a 24‐year timescale (1999–2022) using maximum NDVI products derived from Landsat series datasets, adjusted for sampling bias using phenological modelling.
Ruolin Leng +5 more
wiley +1 more source
Current Applications and Future Perspectives of Artificial Intelligence in Face-Driven Orthodontics: A Scoping Review. [PDF]
Heribanová B +5 more
europepmc +1 more source
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile +44 more
wiley +1 more source

