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Found 4 papers, 2 papers with code
pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning
Comparative experiments show that pLMFPPred outperforms current methods for predicting functional peptides. The experimental results suggest that the proposed method (pLMFPPred) can provide better performance in terms of Accuracy, Area under the curve - Receiver Operating Characteristics, and F1-Score than existing methods.
Text Classification in Memristor-based Spiking Neural Networks
We take two approaches to obtain trained spiking neural networks with memristor models: 1) by converting a pre-trained artificial neural network (ANN) to a memristor-based SNN, or 2) by training a memristor-based SNN directly.
A tool for emulating neuromorphic architectures with memristive models and devices
Memristors have shown promising features for enhancing neuromorphic computing concepts and AI hardware accelerators.
An FPGA-based System for Generalised Electron Devices Testing
Electronic systems are becoming more and more ubiquitous as our world digitises.
