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GitHub22d
EEG Motor Imagery Classification Using CNN, Transformer, and MLP - GitHub
Transformer finds the global relationship of the given representation from CNN. MLP classifies the expected upper limbs to move based on the extracted information from the Transformer. To gauge the ...
IEEE16d
RID-Net: A Hybrid MLP-Transformer Network for Robust Point Cloud Registration - IEEE Xplore
The robustness of correspondence-based point cloud registration relies on transformation invariance and intrinsic distinctiveness of the descriptors computed for registration. However, for challenging ...
IEEE27d
Enhancing Arrhythmia Diagnosis Through ECG Deep Learning Classification Deploying and Augmented Reality 3D Heart Visualization and Interaction | IEEE Journals & Magazine | IEEE ...
Cardiovascular diseases (CVDs) continue to be a leading cause of mortality globally, highlighting the urgent need for timely and accurate diagnosis. Electrocardiography (ECG) is a vital diagnostic ...
GitHub22d
GitHub - ddz16/TSFpaper: This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These ...
🚩 2023/11/1: I have marked some recommended papers with 🌟 (Just my personal preference 😉). 🚩 2023/11/1: I have added a new category : models specifically designed for irregular time series. 🚩 ...
Scientific Research Publishing29d
MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX & NDX European Call Option Pricing - Journal of Mathematical Finance - SCIRP
We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural network (RNN) ...