Results 11 to 20 of about 1,005,453 (288)

Frequency domain synthesis of trajectory learning controllers for robot manipulators [PDF]

open access: yesModeling, Identification and Control, 1993
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

A multi-modal deep learning approach for stress detection using physiological signals: integrating time and frequency domain features

open access: yesFrontiers in Physiology
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

open access: yesIEEE Access, 2021
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

open access: yesCoRR
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

open access: yesIEEE Journal of Biomedical and Health Informatics
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]

open access: yesComputer Vision and Pattern Recognition, 2021
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

open access: yesCoRR, 2022
Submitted to NeurIPS ...
Hengyue Pan   +4 more
openaire   +2 more sources

Wide and Deep Fourier Neural Network for Hyperspectral Remote Sensing Image Classification

open access: yesRemote Sensing, 2022
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

A Network for Landslide Detection Using Large-Area Remote Sensing Images with Multiple Spatial Resolutions

open access: yesRemote Sensing, 2022
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

A Fourier Frequency Domain Convolutional Neural Network for Remote Sensing Crop Classification Considering Global Consistency and Edge Specificity

open access: yesRemote Sensing, 2023
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

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