Abstract: In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion ...
Background: Postoperative atrial fibrillation (POAF) is a frequent complication following coronary artery bypass grafting (CABG), significantly impacting patient prognosis and healthcare costs. This ...
Pytorch implementation of the SGU-MLP Architecture from the paper "Spatial Gated Multi-Layer Perceptron for Land Use". The implementation follows the implementation of the original authors. It differs ...
Background In an ophthalmology emergency department, determining treatment urgency is crucial for patient safety and the efficient use of resources. The aim of this study was to use artificial ...
1 Dongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, Institute of Laboratory Medicine of School of Medical Technology, The First Dongguan Affiliated Hospital, ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
A simple web application for handwritten digit recognition using the MNIST dataset and a Multi-Layer Perceptron (MLP) model. The app is built with TensorFlow/Keras and Flask, providing an interactive ...