IEEE

A Novel Deep Learning Model for Machine Fault Diagnosis

Abstract: By seeing early indications of mechanical problems, machinery fault detection helps maintain industrial equipment, cut downtime, and avoid failures. This paper presents a hybrid model that ...
marktechpost

How to Build an End-to-End Data Engineering and Machine Learning Pipeline with Apache Spark ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser ...

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
C&EN

Machine Learning for Predicting Environmental Mobility Based on Retention Behavior

Queensland Alliance for Environmental Health Sciences (QAEHS), 20 Cornwall Street, Woolloongabba, Brisbane, QLD 4102, Australia ARC Training Centre for Hyphenated Analytical Separation Technologies ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...