Results 71 to 80 of about 336,714 (315)
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Comparative evaluation of models to estimate direct runoff volume from an agricultural watershed
Generally, runoff records are the most important input data in water resource management; however, their availability is very limited especially in developing country as compared to rainfall records, especially under medium and small-scale catchments. In
Kishan Singh Rawat +2 more
doaj +1 more source
Proses penggalian pada area pertambangan menyebabkan perubahan topografi secara terus menerus. Oleh karena itu diperlukan pengukuran yang berkala untuk memastikan ketersedian data topografi. Dalam pengamatan posisi di bawah tanah, penentuan titik kontrol
Doni Muslim Cahya +2 more
doaj +1 more source
Probabilistic Perspectives on Collecting Human Uncertainty in Predictive Data Mining
In many areas of data mining, data is collected from humans beings. In this contribution, we ask the question of how people actually respond to ordinal scales. The main problem observed is that users tend to be volatile in their choices, i.e.
Chan F Kenneth +3 more
core +1 more source
Lane changing dynamics are an important part of traffic microsimulation and are vital for modeling weaving sections and merge bottlenecks. However, there is often much more emphasis placed on car following and gap acceptance models, whereas lane changing
Gao, H. Oliver, Keane, Ronan
core +1 more source
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai +8 more
wiley +1 more source
Several image segmentation techniques have been developed over the years to analyze the characteristics of images. Among these, the uncertainty based approaches and their hybrids have been found to be more efficient than the conventional and individual ...
Purushotham Swarnalatha, Tripathy B. K.
doaj +1 more source
How to measure metallicity from five-band photometry with supervised machine learning algorithms
We demonstrate that it is possible to measure metallicity from the SDSS five-band photometry to better than 0.1 dex using supervised machine learning algorithms.
Acquaviva, Viviana
core +2 more sources
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato +4 more
wiley +1 more source
Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation [PDF]
The Ensemble Kalman filter and Ensemble square root filters are data assimilation methods used to combine high dimensional nonlinear models with observed data.
Kelly, David +2 more
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