Results 101 to 110 of about 922 (173)
Predicting the California Bearing Ratio Applying the Automated Framework of Regression Model [PDF]
The construction of flexible pavement on expansive soil subgrade necessitates the precise determination of the California Bearing Ratio (CBR) value, a crucial aspect of flexible pavement design.
Jing Jin, Pan Hu, Yu Yun
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Wavelet Analysis- Singular Value Decomposition Based Method for Precise Fault Localization in Power Distribution Networks Using k-NN Classifier [PDF]
This article presents a wavelet analysis-singular value decomposition (WA-SVD) based method for precise fault localization in recent power distribution networks using k-NN Classifier. The WA-SVD leverages the slime mould algorithm (SMA) and graph theory (
Elzein, I. M. +7 more
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Renewable clean energy sources, such as wind, solar, and wave energy, are currently gaining prominence and are being extensively researched. Given the escalating significance of clean energy, hybrid systems have gradually become an effective solution to ...
Chen, Yixuan +8 more
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An aesthetics of touch: investigating the language of design relating to form [PDF]
How well can designers communicate qualities of touch? This paper presents evidence that they have some capability to do so, much of which appears to have been learned, but at present make limited use of such language. Interviews with graduate designer-
Cockton, Gilbert +3 more
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An application of the GWO-ELM hybrid model to the accurate 2 prediction of solar radiation for the purpose of sustainable energy 3 integration [PDF]
Despite their drawbacks, fossil fuels like gas, oil, and coal are widely used globally for energy purposes. On the contrary, nascent stages of the energy market are occupied by renewable energy sources such as solar, wind, and hydro, even though they are
Fangyuan Li
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Efficient parameter extraction in PV solar modules with the diligent crow search algorithm [PDF]
In this study, we introduce a novel method that can be seamlessly integrated into existing metacognitive algorithms, significantly enhancing their performance during both exploitation and exploration phases.
Jabari, Mostafa +5 more
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This paper presents a novel deep learning framework for accurate and interpretable breast cancer detection using multi-view mammogram images. The architecture integrates a cross-attention transformer for global relational learning between craniocaudal ...
A. Rajasekhar Yadav, Vaegae Naveen Kumar
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Multi-Strategy Enhanced Slime Mould Algorithm for Optimization Problems
The slime mould algorithm (SMA) simulates the mechanism by which slime moulds optimize paths through chemical signaling and morphological changes, enabling efficient exploration and exploitation of the solution space. While SMA is simple and flexible, it
Zaixin Duan, Xuezhong Qian, Wei Song
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This study presents an advanced Transactive Energy Management (TEM) approach employing the Slime Mould Algorithm (SMA) to optimize scheduling and storage utilization in grid-connected renewable energy microgrids.
Peter Anuoluwapo Gbadega +1 more
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