This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Standardizing calculations of the helium byproducts generated in advanced fission and fusion energy system materials can increase reactor safety and longevity, according to a study led by University ...

Abstract: This work introduces an advanced comprehensive framework for predictive maintenance by integrating Digital Twin (DT) with multiple Deep Learning (DL) models with the aim of predicting ...

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...

This repository contains a full implementation of the WinIT algorithm along with all the other results for comparison. It includes a notebook that demonstrates the reproducibility of the figures and ...

This tutorial is designed to easily learn TensorFlow for time series prediction. Each tutorial subject includes both code and notebook with descriptions. Python (3.4.4) TensorFlow (r0.9) numpy (1.11.1 ...

With the increasing utilization of data in various industries and applications, constructing an efficient data pipeline has become crucial. In this study, we propose a machine learning ...

Abstract: Addressing the global health challenge of diabetes through the lens of time series analysis, our study leverages machine learning to advance prediction and management. Introducing various ...