AIMC Topic: Wavelet Analysis

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Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative study.

Biomedical physics & engineering express May 30, 2024
Prompt diagnosis of epilepsy relies on accurate classification of automated electroencephalogram (EEG) signals. Several approaches have been developed to characterize epileptic EEG data; however, none of them have exploited time-frequency data to eva...
Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Wavelet Analysis Electroencephalography Fourier Analysis Epilepsy
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An intelligent wireless channel corrupted image-denoising framework using symmetric convolution-based heuristic assisted residual attention network.

Network (Bristol, England) May 14, 2024
Image denoising is one of the significant approaches for extracting valuable information in the required images without any errors. During the process of image transmission in the wireless medium, a wide variety of noise is presented to affect the im...
Neural Networks, Computer Signal-To-Noise Ratio Wavelet Analysis Wireless Technology Algorithms Image Processing, Computer-Assisted Heuristics
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EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT.

IEEE journal of biomedical and health informatics May 6, 2024
Automatically detecting human mental workload to prevent mental diseases is highly important. With the development of information technology, remote detection of mental workload is expected. The development of artificial intelligence and Internet of ...
Internet of Things Wavelet Analysis Signal Processing, Computer-Assisted Workload Humans Algorithms Brain Deep Learning Electroencephalography
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Emotion recognition with reduced channels using CWT based EEG feature representation and a CNN classifier.

Biomedical physics & engineering express Apr 30, 2024
Although emotion recognition has been studied for decades, a more accurate classification method that requires less computing is still needed. At present, in many studies, EEG features are extracted from all channels to recognize emotional states, ho...
Emotions Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Wavelet Analysis Entropy Arousal Humans
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Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram images.

Physical and engineering sciences in medicine Apr 23, 2024
Schizophrenia (SZ) has been acknowledged as a highly intricate mental disorder for a long time. In fact, individuals with SZ experience a blurred line between fantasy and reality, leading to a lack of awareness about their condition, which can pose s...
Schizophrenia Automation Wavelet Analysis Image Processing, Computer-Assisted Electroencephalography Signal Processing, Computer-Assisted Adult Male Humans Machine Learning
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A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi-Kernel Extreme Learning Machine.

Journal of neuroscience methods Apr 19, 2024
BACKGROUND: In the pursuit of finer Brain-Computer Interface commands, research focus has shifted towards classifying EEG signals for multiple tasks. While single-joint multitasking motor imagery provides support, distinguishing between EEG signals f...
Imagination Humans Machine Learning Electroencephalography Signal Processing, Computer-Assisted Young Adult Wrist Adult Brain-Computer Interfaces Male Wavelet Analysis Brain Motor Activity Female
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Hybrid WT-CNN-GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features.

Journal of environmental management Apr 9, 2024
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO), are crucial for understanding and assessing the health of aquatic ecosystems. Precise prediction of these indicators is fundamental for the efficient administra...
Environmental Monitoring Water Quality Wavelet Analysis Chlorophyll A Machine Learning Algorithms Lakes Neural Networks, Computer
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DEW: A wavelet approach of rare sound event detection.

PloS one Mar 28, 2024
This paper presents a novel sound event detection (SED) system for rare events occurring in an open environment. Wavelet multiresolution analysis (MRA) is used to decompose the input audio clip of 30 seconds into five levels. Wavelet denoising is the...
Support Vector Machine Neural Networks, Computer Wavelet Analysis Algorithms Memory
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iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks.

Artificial intelligence in medicine Mar 26, 2024
Globally, fungal infections have become a major health concern in humans. Fungal diseases generally occur due to the invading fungus appearing on a specific portion of the body and becoming hard for the human immune system to resist. The recent emerg...
Neural Networks, Computer COVID-19 Algorithms Humans Wavelet Analysis Peptides Antifungal Agents Mycoses
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Damage detection of road domain waveform guardrail structure based on machine learning multi-module fusion.

PloS one Mar 15, 2024
The current highway waveform guardrail recognition technology has encountered problems with low segmentation accuracy and strong noise interference. Therefore, an improved U-net semantic segmentation model is proposed to improve the efficiency of roa...
Recognition, Psychology Machine Learning Technology Image Processing, Computer-Assisted Semantics Wavelet Analysis
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