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Article
Feature Analysis Network: An Interpretable Idea in Deep Learning
Deep Learning (DL) stands out as a leading model for processing high-dimensional data, where the nonlinear transformation of hidden layers effectively extracts features. However, these unexplainable features m...
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Article
High-accuracy DLP 3D printing of closed microfluidic channels based on a mask option strategy
Microfluidics is a crucial technology in biological and medical fields, and its traditional fabrication methods include soft photolithography poly(dimethyl siloxane) (PDMS) technology and polymethyl methacryla...
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Article
A precise method for RBMs training using phased curricula
Restricted Boltzmann machines (RBMs) are efficacious undirected neural networks for generating features and reconstructing images. Nevertheless, the classical persistent chain sampling algorithm has the proble...
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Article
Bioinspired cooperative control method of a pursuer group vs. a faster evader in a limited area
The problem of a faster evader hunted by Np pursuers in a limited area has been a significant subject in recent years. Nevertheless, it is still challenging to develop a cooperative strategy for pursuers and an e...
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Article
Explicit 2D topological control using SIMP and MMA in structural topology optimization
Structural topology can be measured on the basis of its betti numbers. A fundamental feature of structural topology optimization is that it allows the structural topology to be changed during the optimization ...
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Article
Topological control for 2D minimum compliance topology optimization using SIMP method
Topological constraints have recently been introduced to structural topology optimization by the BESO method. However, for the classical and widely used SIMP-type optimization method, an implicit and continuou...