Abstract: Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI) classification methods have attracted significant attention owing to their effective feature ...

CNN's star fact-checker Daniel Dale has made quite a splash during President Donald Trump's first 80 days in office, earning himself exponentially more air time in comparison to the same period ...

New Mexico Secretary of State Maggie Toulouse Oliver, a Democrat, told CNN, “There’s been so much work done … to shore those up and create a national network. Now we’re looking at it being ...

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...

we propose a baseline correction prediction algorithm named CNN-based baseline correction (CNN-BC), based on convolutional neural networks. This algorithm utilizes high-frequency acceleration and ...

We explored the capability on preoperatively identifying IDH status of combining a convolutional neural network (CNN) and a novel imaging modality, ultra-high field 7.0 Tesla (T) chemical exchange ...

[2023.06.25] Update SNN-related papers in ICLR 2023 (6 papers), AAAI 2023 (6 papers). @article{zhou2024direct, title={Direct training high-performance deep spiking neural networks: a review of ...

Specifically, the figure shows the number of publications in dependence on the publication year for DL, deep learning; CNN, convolutional neural network; DBN, deep belief network; LSTM, long ...