Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Physics-Constrained Multilayer Perceptron for Flow Field Inversion in Coastal Acoustic Tomography

Abstract: Accurate flow field inversion in coastal acoustic tomography (CAT) is crucial for improving ocean environmental monitoring, ecological management, marine engineering safety, and disaster ...
Frontiers

Rapid detection method of soybean seed germination potential based on the PLSR-MLP fusion model

The final, formatted version of the article will be published soon. In order to realize the rapid detection of soybean seed germination potential, this study designed a fusion model to solve the ...
Game Rant

Xbox Game Pass Expands Its January Lineup With a Family-Friendly Game

Pam's Colecovision was her babysitter, from the age of 4 or 5, but the family only had one game. Over and over, hour after hour, she'd climb and jump through the three levels of Donkey Kong. But the ...
Scientific Research Publishing

Namdari, A. and Durrani, T.S. (2021) A Multilayer Feedforward Perceptron Model in Neural Networks for Predicting Stock Market Short-Term Trends. Operations Research Forum, 2 ...

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...
Frontiers

Modeling ring current proton distribution using MLP, CNN, LSTM, and transformer networks

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...
IEEE

Three-Track Detection Using a Multilayer Perceptron for Dual-Layer Bit-Patterned Magnetic Recording Systems

Abstract: This paper proposes a multilayer perceptron (MLP)-based three-track detection method for dual-layer bit-patterned magnetic recording (BPMR) systems. Three different MLP architectures are ...
Scientific Research Publishing

Leshno, M., Lin, V.Y., Pinkus, A. and Schocken, S. (1993) Multilayer Feedforward Networks with a Nonpolynomial Activation Function Can Approximate Any Function. Neural Networks ...

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 ...