Microsoft

How Microsoft Discovery is speeding BHP’s copper innovation — critical to the energy transition

Geochemists and data scientists at BHP, the world’s largest mining company, have assessed over 500,000 chemical reagents with the potential to more effectively extract copper—a mineral critical for ...
IEEE

Investigation of Feature Extraction methods for Classifying Brain Abnormalities in Ultrasound Brain Images using Signal Processing Network

Abstract: A key a part of early analysis and treatment of neurological illnesses is the detection of anomalies inside the mind through ultrasound scans. Using a Signal Processing Network (SPN), this ...
Frontiers

Editorial: Advances in noise reduction and feature extraction of acoustic signal

It is our pleasure to introduce the Research Topic on advances in noise reduction and feature extraction of acoustic signals in Frontiers in physics. Acoustic signal processing and its analysis is one ...
Frontiers

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network

Brain computer interaction (BCI) based on EEG can help patients with limb dyskinesia to carry out daily life and rehabilitation training. However, due to the low signal-to-noise ratio and large ...
Scientific Research Publishing

Plant Disease Detection with Deep Learning and Feature Extraction Using Plant Village ()

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...
IEEE

MSP-MFCC: Energy-Efficient MFCC Feature Extraction Method With Mixed-Signal Processing Architecture for Wearable Speech Recognition Applications

Abstract: Feature extraction is an essential part of automatic speech recognition (ASR) to compress raw speech data and enhance features, where conventional implementation methods based on the digital ...