AIMC Topic: Wavelet Analysis

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Enhanced Convolutional Neural Network for In Situ AUV Thruster Health Monitoring Using Acoustic Signals.

Sensors (Basel, Switzerland) Sep 19, 2022
As the demand for ocean exploration increases, studies are being actively conducted on autonomous underwater vehicles (AUVs) that can efficiently perform various missions. To successfully perform long-term, wide-ranging missions, it is necessary to a...
Neural Networks, Computer Noise Acoustics Wavelet Analysis
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Deep Learning with LPC and Wavelet Algorithms for Driving Fault Diagnosis.

Sensors (Basel, Switzerland) Sep 19, 2022
Vehicle fault detection and diagnosis (VFDD) along with predictive maintenance (PdM) are indispensable for early diagnosis in order to prevent severe accidents due to mechanical malfunction in urban environments. This paper proposes an early voicepri...
Neural Networks, Computer Algorithms Deep Learning Automobile Driving Wavelet Analysis
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WCNN3D: Wavelet Convolutional Neural Network-Based 3D Object Detection for Autonomous Driving.

Sensors (Basel, Switzerland) Sep 16, 2022
Three-dimensional object detection is crucial for autonomous driving to understand the driving environment. Since the pooling operation causes information loss in the standard CNN, we designed a wavelet-multiresolution-analysis-based 3D object detect...
Neural Networks, Computer Algorithms Wavelet Analysis
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Pulse Signal Analysis Based on Deep Learning Network.

BioMed research international Sep 15, 2022
Pulse signal is one of the most important physiological features of human body, which is caused by the cyclical contraction and diastole. It has great research value and broad application prospect in the detection of physiological parameters, the dev...
Humans Neural Networks, Computer Algorithms Deep Learning Signal Processing, Computer-Assisted Heart Rate Wavelet Analysis
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Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach.

Computational intelligence and neuroscience Sep 15, 2022
The development of unusual cells in the cerebrum causes brain cancer. It is classified primarily into two classes: a noncarcinogenic (benign) type of growth and cancerous (malignant) growth. Early detection of this disease is a quintessential task fo...
Humans Algorithms Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Wavelet Analysis
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Loosening Identification of Multi-Bolt Connections Based on Wavelet Transform and ResNet-50 Convolutional Neural Network.

Sensors (Basel, Switzerland) Sep 9, 2022
A high-strength bolt connection is the key component of large-scale steel structures. Bolt loosening and preload loss during operation can reduce the load-carrying capacity, safety, and durability of the structures. In order to detect loosening damag...
Neural Networks, Computer Wavelet Analysis Steel
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Wavelet subband-specific learning for low-dose computed tomography denoising.

PloS one Sep 9, 2022
Deep neural networks have shown great improvements in low-dose computed tomography (CT) denoising. Early algorithms were primarily optimized to obtain an accurate image with low distortion between the denoised image and reference full-dose image at t...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Wavelet Analysis
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An Energy Data-Driven Approach for Operating Status Recognition of Machine Tools Based on Deep Learning.

Sensors (Basel, Switzerland) Sep 1, 2022
Machine tools, as an indispensable equipment in the manufacturing industry, are widely used in industrial production. The harsh and complex working environment can easily cause the failure of machine tools during operation, and there is an urgent req...
Neural Networks, Computer Deep Learning Wavelet Analysis Physical Phenomena
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Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis.

Computational intelligence and neuroscience Aug 28, 2022
In the field of mechanical and electrical equipment, the motor rolling bearing is a workpiece that is extremely prone to damage and failure. However, the traditional fault diagnosis methods cannot keep up with the development pace of the times becaus...
Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted Wavelet Analysis
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A hybrid model integrating long short-term memory with adaptive genetic algorithm based on individual ranking for stock index prediction.

PloS one Aug 17, 2022
Modeling and forecasting stock prices have been important financial research topics in academia. This study seeks to determine whether improvements can be achieved by forecasting a stock index using a hybrid model and incorporating financial variable...
Neural Networks, Computer Forecasting Wavelet Analysis
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