AIMC Topic: Wavelet Analysis

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Prediction of surface water pollution using wavelet transform and 1D-CNN.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 4, 2025
Permanganate index (COD), total nitrogen, and ammonia nitrogen are important indicators that represent the degree of pollution of surface water. This study combined ultraviolet-visible (UV-vis) spectroscopy with a one-dimensional convolutional neural...
Water Pollutants, Chemical Water Pollution Wavelet Analysis Neural Networks, Computer Environmental Monitoring
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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images.

Sensors (Basel, Switzerland) Feb 26, 2025
Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. The primary focus lies in developing a robust, privacy-preservin...
Pain Wavelet Analysis Federated Learning Pain Measurement Signal Processing, Computer-Assisted Algorithms Electrocardiography Neural Networks, Computer Humans Machine Learning
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HFFTrack: Transformer tracking via hybrid frequency features.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2025
Numerous Transformer-based trackers have emerged due to the powerful global modeling capabilities of the Transformer. Nevertheless, the Transformer is a low-pass filter with insufficient capacity to extract high-frequency features of the target and t...
Algorithms Wavelet Analysis Humans Neural Networks, Computer
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An integrated approach for advanced vehicle classification.

PloS one Feb 18, 2025
This study is dedicated to addressing the trade-off between receptive field size and computational efficiency in low-level vision. Conventional neural networks (CNNs) usually expand the receptive field by adding layers or inflation filtering, which o...
Image Processing, Computer-Assisted Automobiles Neural Networks, Computer Algorithms Wavelet Analysis Humans
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An arrhythmia classification using a deep learning and optimisation-based methodology.

Journal of medical engineering & technology Feb 14, 2025
The work proposes a methodology for five different classes of ECG signals. The methodology utilises moving average filter and discrete wavelet transformation for the remove of baseline wandering and powerline interference. The preprocessed signals ar...
Signal Processing, Computer-Assisted Deep Learning Humans Arrhythmias, Cardiac Electrocardiography Algorithms Wavelet Analysis
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Enhanced EEG-based cognitive workload detection using RADWT and machine learning.

Neuroscience Feb 7, 2025
Understanding cognitive workload improves learning performance and provides insights into human cognitive processes. Estimating cognitive workload finds practical applications in adaptive learning systems, brain-computer interfaces, and cognitive mon...
Humans Machine Learning Young Adult Adult Male Brain Female Wavelet Analysis Electroencephalography Cognition Workload Support Vector Machine
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GobletNet: Wavelet-Based High-Frequency Fusion Network for Semantic Segmentation of Electron Microscopy Images.

IEEE transactions on medical imaging Feb 4, 2025
Semantic segmentation of electron microscopy (EM) images is crucial for nanoscale analysis. With the development of deep neural networks (DNNs), semantic segmentation of EM images has achieved remarkable success. However, current EM image segmentatio...
Humans Microscopy, Electron Algorithms Wavelet Analysis Image Processing, Computer-Assisted Deep Learning Semantics Neural Networks, Computer
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Adaptive wavelet base selection for deep learning-based ECG diagnosis: A reinforcement learning approach.

PloS one Feb 3, 2025
Electrocardiogram (ECG) signals are crucial in diagnosing cardiovascular diseases (CVDs). While wavelet-based feature extraction has demonstrated effectiveness in deep learning (DL)-based ECG diagnosis, selecting the optimal wavelet base poses a sign...
Wavelet Analysis Algorithms Electrocardiography Cardiovascular Diseases Humans Signal Processing, Computer-Assisted Deep Learning
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FDuDoCLNet: Fully dual-domain contrastive learning network for parallel MRI reconstruction.

Magnetic resonance imaging Jan 24, 2025
Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that is widely used for high-resolution imaging of soft tissues and organs. However, the slow speed of MRI imaging, especially in high-resolution or dynamic scans, makes MRI...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Humans Wavelet Analysis
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Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images.

BMC medical informatics and decision making Jan 21, 2025
BACKGROUND: As the incidence and prevalence of Atrial Fibrillation (AF) proliferate worldwide, the condition has become the epicenter of a plethora of ECG diagnostic research. In recent diagnostic methodologies, Morse Continuous Wavelet Transform (Ms...
Atrial Fibrillation Deep Learning Wavelet Analysis Electrocardiography Humans
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