Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

WebAssembly runtime introduces experimental async API and support for dynamic linking in WASIX, enabling much broader support ...

Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...

Quarterback has always been the most important position in football, but it has perhaps never been more obviously critical than in this year’s College Football Playoff, where four of the eight teams ...

90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.

98% of placements using SOLOPASS® 2.0 entered the ventricular system, versus only 10% of freehand placements. 86% of placements using SOLOPASS® 2.0 accurately reached the ipsilateral frontal horn ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

Hunan Engineering and Technology Research Center for Agricultural Big Data Analysis & Decision-making, Hunan Agricultural University, Changsha, China In the context of intelligent agriculture in China ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...