Results 11 to 20 of about 1,005,453 (288)
Frequency domain synthesis of trajectory learning controllers for robot manipulators [PDF]
Trajectory learning control is a method for generating near to optimal feedforward control for systems that are controlled along a reference trajectory in repeated cycles.
Tom Kavli
doaj +2 more sources
ObjectiveThis study aims to develop a multimodal deep learning-based stress detection method (MMFD-SD) using intermittently collected physiological signals from wearable devices, including accelerometer data, electrodermal activity (EDA), heart rate (HR),
Jun-Zhi Xiang +4 more
doaj +2 more sources
Deep Learning in Time-Frequency Domain for Document Layout Analysis
Document layout analysis plays an important role in the area of Document Understanding. It is responsible for identifying and classifying the different components of digital documents.
Felipe Grijalva +4 more
doaj +2 more sources
Frequency-domain Learning with Kernel Prior for Blind Image Deblurring
While achieving excellent results on various datasets, many deep learning methods for image deblurring suffer from limited generalization capabilities with out-of-domain data.
Jixiang Sun +4 more
semanticscholar +3 more sources
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction
Background: Intraoperative hypotension can lead to postoperative organ dysfunction. Previous studies primarily used invasive arterial pressure as the key biosignal for the detection of hypotension.
Kyung-Ah Sohn +2 more
exaly +2 more sources
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain [PDF]
The remarkable success in face forgery techniques has received considerable attention in computer vision due to security concerns. We observe that up-sampling is a necessary step of most face forgery techniques, and cumulative up-sampling will result in ...
Honggu Liu +7 more
semanticscholar +1 more source
Learning Convolutional Neural Networks in the Frequency Domain
Submitted to NeurIPS ...
Hengyue Pan +4 more
openaire +2 more sources
Wide and Deep Fourier Neural Network for Hyperspectral Remote Sensing Image Classification
Hyperspectral remote sensing image (HSI) classification is very useful in different applications, and recently, deep learning has been applied for HSI classification successfully.
Jiangbo Xi +5 more
doaj +1 more source
Accurately detecting landslides over a large area with complex background objects is a challenging task. Research in the area suffers from three drawbacks in general.
Bo Yu +4 more
doaj +1 more source
The complex remote sensing image acquisition conditions and the differences in crop growth create many crop classification challenges. Frequency decomposition enables the capture of the feature information in an image that is difficult to discern ...
Binbin Song +4 more
doaj +1 more source

