In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

Abstract: This paper examines the development of continuous signal pre-processing methods for segmentation, with a particular emphasis on the application of machine learning. Signal segmentation plays ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent ...

Patent validates AIML's novel neural-network approach to denoising and mapping ECG signals, powering MaxYield™ and CardioYield™. Reinforces competitive advantage as the Company advances ...

This framework enables quantitative predictions about how cellular systems convert frequency-encoded signals into precise ...

Abstract: Recovering target information from radar echo sampling by solving the inverse problem is a fundamental and practical problem in radar signal processing. To utilize neural network models for ...

Patent validates AIML's novel neural-network approach to denoising and mapping ECG signals, powering MaxYield and CardioYield.Reinforces competitive advantage as the Company advances commercialization ...

System reliability and safety are paramount across industries such as semiconductors, energy, automotive, and steel, where ...

As a Signal Processing Intern, you will play a key role in developing advanced Digital Signal Processing (DSP) algorithms that transform raw radar signals into high-resolution satellite images. This ...