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Research on heart and lung sound separation method based on DAE–NMF–VMD
Auscultation is the most effective method for diagnosing cardiovascular and respiratory diseases. However, stethoscopes typically capture mixed...
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Robust 3D Beamforming for Secure UAV Communications by DAE
Unmanned aerial vehicles (UAVs) are considered to play vital roles in the Sixth Generation (6G) networks and beyond. However, the confidentiality of...
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Noise Removal in ECG Signals Utilizing Fully Convolutional DAE
The electrocardiogram signals (ECG) are helpful in determining the rate and rhythm of heartbeats and also the presence of any harm to the heart...
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DAE-DBN: An Effective Lung Cancer Detection Model Based on Hybrid Deep Learning Approaches
To effectively treat lung cancer and improve patient survival, automatic lung nodule identification is crucial. Computer-aided diagnosis (CAD) is one...
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Unsupervised environmental operating condition compensation strategies in a guided ultrasonic wave monitoring system: evaluation and comparison
Guided ultrasonic wave (GUW) monitoring systems are gaining much attention in pipeline condition monitoring. However, the effects of environmental...
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Traction control design for off-road mobility using an SPH-DAE cosimulation framework
We describe an analytical framework implemented in a general-purpose mobility simulation platform for enabling the design of control policies for...
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Development of thermal error map** model for the dry gear hobbing machine based on CNN-DAE integrated structure and its application
The dry cutting gear hobbing machine is a specialized manufacturing equipment for small-module gears. During the continuous large-volume gear cutting...
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Finite element method and hybrid deep learning approaches: high-accuracy lung cancer detection model
Deep learning has become a crucial instrument for medical research in recent years. Computer science-based mathematics have been extensively used in...
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Deep Learning-Based Noise Type Classification and Removal for Drone Image Restoration
Recent advancements in deep learning have enabled significant progress in image noise type classification and denoising systems. Researchers working...
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4 The $\mathcal{H}_{\infty}$ Control Problems
Consider the standard feedback configuration shown in Fig. 4.1. Let...
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Development of a tool wear online monitoring system for dry gear hobbing machine based on new experimental approach and DAE-BPNN-integrated mathematic structure
The hob wear and tear of hob adversely affect the stability of dry gear hobbing accuracy. Quick and accurate online recognition of current hob wear...
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A Feature Fusion Method Based on DeepONet for Dynamic Equations
Dynamic systems governed by differential–algebraic equations (DAEs) play a crucial role in modeling various physical phenomena. However, the...
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Deep Learning for OFDM Channel Estimation in Impulsive Noise Environments
Impulsive noise suppression is essential in orthogonal frequency division multiplexing (OFDM) systems, since impulsive noise may cause a serious...
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A Comparative Study on Image Segmentation Models in COVID-19 Diagnosis
With Omicron swee** the world, it has brought huge pressure on the healthcare system, and quick diagnosis of pneumonia caused by COVID-19 using...
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Fault-Line Selection Method for Small-Current Grounded System Based on Multi-classifier
In a small-current grounded system, the fault characteristics are very obscure when a single-phase ground fault occurs; therefore, the faulty line...
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Application of the DAE approach to the nonlinear sloshing problem
The nonlinear sloshing problem is an important issue for design of liquid storage tanks, liquid cargo transportations, tuned liquid dampers and so...
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Quasi-Lagrangian equations and its energy-conservative numerical integration for nonlinear dynamic systems
In dynamic simulations, it is important to maintain the same properties and structure as the original system. For conservative systems modeled using...
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A GAN-Based Intrusion Detection Model for 5G Enabled Future Metaverse
Metaverse is a future virtual reality technology, and Internet of Things(Iot)is one of its important components. For the metaverse security problem...
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A Robust SNMP-MIB Intrusion Detection System Against Adversarial Attacks
With the increase in cyber security attacks, organizations tend to use an intrusion detection system (IDS) based on machine learning. Through the...
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A Wrapper Feature Selection Based Hybrid Deep Learning Model for DDoS Detection in a Network with NFV Behaviors
Network function virtualization (NFV) is a rapidly growing technology that permits network operators to issue their virtualized network functions...
