AIMC Topic: Fourier Analysis

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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.

Scientific reports Jul 1, 2025
Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning ...
Neural Networks, Computer Machine Learning Algorithms Humans Ensemble Learning Palpation Percussion Support Vector Machine Signal Processing, Computer-Assisted Fourier Analysis
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DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform.

Genome biology Jun 3, 2025
The rapid advancements in spatially resolved transcriptomics (SRT) enable the characterization of gene expressions while preserving spatial information. However, high dropout rates and noise hinder accurate spatial domain identification for understan...
Lymph Nodes Fourier Analysis Drosophila Transcriptome Deep Learning Humans Female Breast Neoplasms Animals Gene Expression Profiling
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Harnessing Fast Fourier Transform for Rapid Community Travel Distance and Step Estimation in Children with Duchenne Muscular Dystrophy.

Sensors (Basel, Switzerland) May 21, 2025
Accurate estimation of gait characteristics, including step length, step velocity, and travel distance, is critical for assessing mobility in toddlers, children, and teens with Duchenne muscular dystrophy (DMD) and typically developing (TD) peers. Th...
Adolescent Child, Preschool Child Humans Female Male Walking Accelerometry Gait Fourier Analysis Muscular Dystrophy, Duchenne
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Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction.

International journal of neural systems Apr 28, 2025
Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients with epilepsy and mitigates anxiety. In recent years, significant progress has been made in this field. However, the predictive performance of existing ...
Fourier Analysis Humans Epilepsy Convolutional Neural Networks Seizures Electroencephalography Supervised Machine Learning
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Complex-valued neural networks to speed-up MR thermometry during hyperthermia using Fourier PD and PDUNet.

Scientific reports Apr 6, 2025
Hyperthermia (HT) in combination with radio- and/or chemotherapy has become an accepted cancer treatment for distinct solid tumour entities. In HT, tumour tissue is exogenously heated to temperatures between 39 and 43 °C for 60 min. Temperature monit...
Hyperthermia Hyperthermia, Induced Fourier Analysis Thermometry Magnetic Resonance Imaging Artifacts Humans Neural Networks, Computer Neoplasms Deep Learning Image Processing, Computer-Assisted
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Deep learning-based prediction of atrial fibrillation from polar transformed time-frequency electrocardiogram.

PloS one Mar 10, 2025
Portable and wearable electrocardiogram (ECG) devices are increasingly utilized in healthcare for monitoring heart rhythms and detecting cardiac arrhythmias or other heart conditions. The integration of ECG signal visualization with AI-based abnormal...
Signal Processing, Computer-Assisted Atrial Fibrillation Fourier Analysis Deep Learning Humans Wearable Electronic Devices Neural Networks, Computer Electrocardiography
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Radar Signal Processing and Its Impact on Deep Learning-Driven Human Activity Recognition.

Sensors (Basel, Switzerland) Jan 25, 2025
Human activity recognition (HAR) using radar technology is becoming increasingly valuable for applications in areas such as smart security systems, healthcare monitoring, and interactive computing. This study investigates the integration of convoluti...
Signal Processing, Computer-Assisted Humans Algorithms Human Activities Radar Deep Learning Neural Networks, Computer Fourier Analysis
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When low-light meets flares: Towards Synchronous Flare Removal and Brightness Enhancement.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Low-light image enhancement (LLIE) aims to improve the visibility and illumination of low-light images. However, real-world low-light images are usually accompanied with flares caused by light sources, which make it difficult to discern the content o...
Image Enhancement Fourier Analysis Light Lighting Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Improved analysis of supervised learning in the RKHS with random features: Beyond least squares.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2025
We consider kernel-based supervised learning using random Fourier features, focusing on its statistical error bounds and generalization properties with general loss functions. Beyond the least squares loss, existing results only demonstrate worst-cas...
Neural Networks, Computer Algorithms Least-Squares Analysis Supervised Machine Learning Fourier Analysis Humans
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AutoSamp: Autoencoding k-Space Sampling via Variational Information Maximization for 3D MRI.

IEEE transactions on medical imaging Jan 2, 2025
Accelerated MRI protocols routinely involve a predefined sampling pattern that undersamples the k-space. Finding an optimal pattern can enhance the reconstruction quality, however this optimization is a challenging task. To address this challenge, we...
Humans Fourier Analysis Deep Learning Imaging, Three-Dimensional Algorithms Magnetic Resonance Imaging Brain
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