IEEE

Circulatory Failure Prediction by Using Wavelet Transform and Machine Learning Methods

Abstract: In order to predict the circulatory failure ahead, a method is proposed by combing wavelet transform and machine learning methods AdaBoost, XGBoost, KNN and SVM. Wavelet transform can ...
IEEE

Unified Approach to Detection of Induction Motor Faults from Vibration Signals using Hilbert Transform based Autoencoder Features and Hybrid Efficient Machine Learning Algorithms

Abstract: Since vibration signals are sensitive to changes, they are regularly used to assess the condition of rotating electrical machines. These signals include vital data that makes it possible to ...
Hosted on MSN

14 minutes that transform the Subaru BRZ into a different machine

In just 14 minutes, this BRZ goes through a transformation that shows why bolt-on mods are more than upgrades—they’re lessons in engineering. Each component impacts combustion, handling, and response ...
Entertainment Weekly

The Rock, who? How prosthetics helped Dwayne Johnson 'completely disappear' as Mark Kerr in The Smashing Machine

Oscar-nominated special makeup effects artist and prosthetic designer Kazu Hiro details Johnson's transformation into MMA artist Mark Kerr.
Morningstar

Excelsior Sciences Raises $95 Million to Transform Small Molecule Discovery and Manufacturing with Novel Chemistry that Machines Can Do

Deerfield Management, Khosla Ventures, and Sofinnova Partners co-lead Series A fundraise for Excelsior Sciences to accelerate drug discovery and clinical development while supporting pharma reshoring.
Knowridge

New “smart” photodetectors can recognize materials instantly—just by catching light

Scientists at UCLA and UC Berkeley have created a groundbreaking type of image sensor that can recognize materials and objects the moment light hits it—without needing a computer to process the data ...