Google published a research paper on how to extract user intent from user interactions that can then be used for autonomous agents. The method they discovered uses on-device small models that do not ...
This study reports important findings about the nature of feedback to primary visual cortex (V1) during object recognition. The state-of-the-art functional MRI evidence for the main claims is solid, ...
Abstract: A low-complexity, robust modulation format recognition (MFR) method based on multi-stage feature extraction is proposed for adaptive processing of varying modulation formats in future ...
This repository contains a MATLAB-based image processing project focused on leaf segmentation and morphometric analysis. The work was completed as part of the MOD002643 – Image Processing module at ...
Insurance company sensitivity and the court of public opinion tend to run hand in hand as it relates to highly publicized exposures. PFAS (per- and polyfluoroalkyl substances), also known as forever ...
ABSTRACT: Gearboxes are commonly used in rotary machines. Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In ...
Abstract: Graph Signal Processing (GSP), an emerging field, provides a flexible framework to model and analyze Electroencephalogram (EEG) sensor data that exhibit intricate relationships and ...
feature_extraction_functions.py: a set of feature extraction functions from RDShi-SpeakerCount. MFCC: Mel-frequency cepstral coefficients calculation. MFCC.py, MFCCTest.py: Compute the MFCC feature.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results