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Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202517785
Abstract: Neuromorphic computing provides a promising solution to the von Neumann bottleneck and has received a lot of research attention. However, due to the limitation of static threshold activation of traditional neuromorphic devices, it is difficult…
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Keywords:
neuron transistor;
adaptive activation;
activation;
activation neuron ... See more keywords
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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05396-3
Abstract: Since medical imaging is a fundamental step in clinical diagnosis and treatment, medical image processing is an attractive field for researchers. Among the different applications of medical image processing, this paper focuses on the segmentation…
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Keywords:
adaptive activation;
image;
network;
segmentation ... See more keywords
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Published in 2024 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10156-8
Abstract: A pivotal aspect in the design of neural networks lies in selecting activation functions, crucial for introducing nonlinear structures that capture intricate input–output patterns. While the effectiveness of adaptive or trainable activation functions has been…
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Keywords:
functions predictive;
modeling sparse;
predictive modeling;
activation functions ... See more keywords
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Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2023.3337353
Abstract: To ensure the machining quality of micro/nano scale structural units for meter scale workpieces, relay turning with multiple single-point diamond tools has been broadly required. However, the existing tool setting methods have the problems of…
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Keywords:
variational auto;
tool;
tool setting;
adaptive activation ... See more keywords