This paper presents a new SFF method based on a multiscale fusion perspective. A level reduction strategy and a novel a-PCNN model are introduced in this framework. Due to the fused depth maps with various window sizes by the HSM method, the proposed method can balance noise suppression and...
This work presents a design approach to obtain a cage to enhance the fusion between adjacent vertebrae of the cervical spine. This approach makes use of a multiscale model for topology optimization of structures to define the cage microstructure. The cage is designed in order to respond to the...
After the training, we use the validation set to evaluate the optimal model and detect the test set. For the hyperparameter setting, the learning rate η is set 10−4 in the experiment, the attenuation coefficient τ is half of the iteration of training s, and s = 150. 4.1.1. ...
Finally, we apply the fusion-attention mechanism to integrate global contextual information with multiple local features to obtain the optimal entity labels. Experimental results demonstrate that our model outperforms baseline models on three social media datasets (WNUT2016, WNUT2017, OntoNotes5.0_ ...
The optimal mix—comprising 88% fly ash, 3% lime, and 9% GGBS—meets the strength requirements for base layer applications. Spectroscopic analysis confirms gel formation, while Thermogravimetric Analysis (TGA) reveals substantial weight loss due to hydration products, indicating successful stabilization....
M-band wavelet is used to approximate the projection relationship between the scale spaces, and system model that satisfies Kalman filter condition is built. After performing Kalman filter, the optimal state estimation can be obtained. Simulation results are given to obtain insight into the ...
and optimal feature subset selection are performed on the data. Also, they used the idea of fusion. The traditional random forest (RF) [31], support vector machine (SVM) [32],k-nearest neighbor (KNN) [33], and naive Bayes classification algorithm (NBC) [34] are fused. The accuracy was...
Overall, the proposed method obtained the optimal results in AS by reaching 0.732, 0.995, and 0.773 on the validation set of the COVID-CT, BreakHis, and Br35H datasets, respectively. Regarding the F1, the results of the proposed method were similar to the ones when assessed using AS ...
Based on the application of geological, mineralogical, machine learning and remote sensing results for the construction of a preliminary exploration model of the auriferous-uraniferous marble in the Egyptian Nubian Shield, we recommend a detailed exploration of Au and U-bearing zones in Barramiya-...
The application of Wavelet in dynamic estimation and data fusion is introduced in this paper; an optimal real-timemultiscale estimationand fusion algorithm for dynamic system is given. 介绍了小波变换在动态估计和数据融合中的应用,给出了一种实时的最优动态多尺度估计和融合算法。