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Found 6 papers, 1 papers with code
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration
The field of connectomics has recently produced neuron wiring diagrams from relatively large brain regions from multiple animals.
Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images
With some advanced algorithms, the new technologies are expected to control the production quality based on the digital images.
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
Out of this consideration, an enhanced RUL framework focusing on data self-generation is put forward for both non-cyclic and cyclic degradation patterns for the first time.
Reduced-order Koopman modeling and predictive control of nonlinear processes
In this paper, we propose an efficient data-driven predictive control approach for general nonlinear processes based on a reduced-order Koopman operator.
Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes
The local estimators are integrated via information exchange to form a distributed estimation scheme, which provides estimates of the unmeasured/unmeasurable state variables of the original nonlinear process in a linear manner.
Nonparametric Forest-Structured Neural Topic Modeling
Neural topic models have been widely used in discovering the latent semantics from a corpus.
