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Found 4 papers, 0 papers with code
Convolutional Neural Network with Convolutional Block Attention Module for Finger Vein Recognition
To reduce the computational effort and to take into account the different importance of pixels, we propose a lightweight convolutional neural network with a convolutional block attention module (CBAM) for finger vein recognition, which can achieve a more accurate capture of visual structures through an attention mechanism.
Finger Vein Recognition by Generating Code
Finger vein recognition has drawn increasing attention as one of the most popular and promising biometrics due to its high distinguishes ability, security and non-invasive procedure.
Real-time Locational Marginal Price Forecasting Using Generative Adversarial Network
In this paper, we propose a model-free unsupervised learning approach to forecast real-time locational marginal prices (RTLMPs) in wholesale electricity markets.
Predicting Real-Time Locational Marginal Prices: A GAN-Based Video Prediction Approach
In this paper, we propose an unsupervised data-driven approach to predict real-time locational marginal prices (RTLMPs).
