Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

There is a version of the artificial intelligence story that some may say began with ChatGPT, or perhaps with the smartphone, ...

Natalie Gilbert grew up watching and learning from her dad's work solving neural network problems for AT&T's Bell Labs.

People say it every day without thinking ― “two o’clock,” “six o’clock,” “eight o’clock sharp.” But what is the purpose of that little “o” and apostrophe? Is it short for something? Why do we only use ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

1 Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 Research Center for Wind ...

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...

Abstract: The proposed study explores the use of convolutional neural networks (CNNs) in the field of neural cryptography, aiming to improve secure communication protocols with more adaptive, ...