C&EN

Durative Monitoring of Sulfur Hexafluoride Characteristic Gases under Hydrogen Interference Using a Time2Vec-Encoded CNN–Transformer–LSTM Model Based on a Heterogeneous Gas ...

State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, P. R. China School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, ...
GitHub

Clarification needed: Are frame and global attention each complete transformer blocks (attention + MLP)?

First, congratulations on the excellent work and the CVPR 2025 Best Paper Award! I'm studying VGGT in depth and have a question about the architectural details that I believe would benefit the ...
Frontiers

Modeling Ring Current Proton Distribution using MLP, CNN, LSTM, and Transformer Networks

The final, formatted version of the article will be published soon. This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP) ...
Comicbook.com

Every Upcoming Movie Based on a Toy

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Let’s kick things off with a very freshly announced project, which is My Little Pony. The iconic ...
GitHub

MQL5 Neural Network Library

This repository demonstrates a complete workflow for training and deploying neural networks directly inside MetaTrader 5. The goal is to show that the MQL5 language can handle custom machine learning ...
IEEE

Evaluating CNN, RNN, and Vision Transformer for Emotion Recognition: Strengths and Weaknesses

Abstract: This paper explores three prominent deep learning architectures — Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Vision Transformers (ViT) — for emotion ...
Scientific Research Publishing

Dao, T. and Gu, A. (2024) Transformers Are SSMs: Generalized Models and Efficient Algorithms through Structured State Space Duality.

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 ...
Scientific Research Publishing

Chung, J., Gulcehre, C., Cho, K. and Bengio, Y. (2014) Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

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 ...