AIMC Topic: Wavelet Analysis

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Deciphering the molecular fingerprint of haemoglobin in lung cancer: A new strategy for early diagnosis using two-trace two-dimensional correlation near infrared spectroscopy (2T2D-NIRS) and machine learning techniques.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 23, 2025
Lung cancer remains one of the deadliest malignancies worldwide, highlighting the need for highly sensitive and minimally invasive early diagnostic methods. Near-infrared spectroscopy (NIRS) offers unique advantages in probing molecular vibrational i...
Female Aged Male Humans Machine Learning Hemoglobins Wavelet Analysis Spectroscopy, Near-Infrared Lung Neoplasms Early Detection of Cancer Middle Aged Case-Control Studies
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Abnormal heart sound recognition using SVM and LSTM models in real-time mode.

Scientific reports Mar 17, 2025
Cardiovascular diseases are non-communicable diseases that are considered the leading cause of death worldwide accounting for 17.9 million fatalities. Auscultation of heart sounds is the most common and valuable way of diagnosing heart diseases. Norm...
Humans Neural Networks, Computer Algorithms Wavelet Analysis Support Vector Machine Heart Sounds Phonocardiography Signal Processing, Computer-Assisted
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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...
Environmental Monitoring Water Pollution Water Pollutants, Chemical Wavelet Analysis Neural Networks, Computer
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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...
Electrocardiography Pain Measurement Pain Wavelet Analysis Signal Processing, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Humans Federated 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...
Neural Networks, Computer Humans Algorithms Wavelet Analysis
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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...
Automobiles Humans Algorithms Neural Networks, Computer Wavelet Analysis Image Processing, Computer-Assisted
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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 Arrhythmias, Cardiac Humans Wavelet Analysis Electrocardiography Algorithms
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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...
Workload Wavelet Analysis Cognition Support Vector Machine Electroencephalography Adult Male Humans Machine Learning Female Young Adult Brain
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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...
Semantics Microscopy, Electron Wavelet Analysis Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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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 Humans Deep Learning Electrocardiography Algorithms Signal Processing, Computer-Assisted Cardiovascular Diseases
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