AIMC Topic: Noise

Clear Filters Showing 41 to 50 of 132 articles

Comparison and Analysis of Several Clustering Algorithms for Pavement Crack Segmentation Guided by Computational Intelligence.

Computational intelligence and neuroscience Sep 3, 2022
Cracks are one of the most common types of imperfections that can be found in concrete pavement, and they have a significant influence on the structural strength. The purpose of this study is to investigate the performance differences of various spat...
Artificial Intelligence Algorithms Cluster Analysis Noise Normal Distribution
View on PubMed DOI

An Attention EfficientNet-Based Strategy for Bearing Fault Diagnosis under Strong Noise.

Sensors (Basel, Switzerland) Aug 31, 2022
With the continuous development of artificial intelligence, data-driven fault diagnosis methods are gradually attracting widespread attention. However, in practical industrial applications, noise in the working environment is inevitable. This leads t...
Artificial Intelligence Noise
View on PubMed DOI

Remote State Estimation of Nonlinear Systems Over Fading Channels via Recurrent Neural Networks.

IEEE transactions on neural networks and learning systems Aug 3, 2022
In this article, we consider the remote state estimation for nonlinear dynamic systems with known linear dynamics and unknown nonlinear perturbations. The nonlinear dynamic plant is monitored by multiple distributed sensors over a random access wirel...
Neural Networks, Computer Algorithms Communication Noise Nonlinear Dynamics
View on PubMed DOI

Time-Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation.

Sensors (Basel, Switzerland) Jul 26, 2022
Underwater acoustic signal separation is a key technique for underwater communications. The existing methods are mostly model-based, and cannot accurately characterize the practical underwater acoustic communication environment. They are only suitabl...
Neural Networks, Computer Deep Learning Noise Acoustics
View on PubMed DOI

Automated identification of chicken distress vocalizations using deep learning models.

Journal of the Royal Society, Interface Jun 29, 2022
The annual global production of chickens exceeds 25 billion birds, which are often housed in very large groups, numbering thousands. Distress calling triggered by various sources of stress has been suggested as an 'iceberg indicator' of chicken welfa...
Neural Networks, Computer Animals Deep Learning Chickens Noise Vocalization, Animal
View on PubMed DOI

A deep learning approach for detecting drill bit failures from a small sound dataset.

Scientific reports Jun 10, 2022
Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping and repairing the failed components can minimize the downtime of the machine. In this article, we present a me...
Neural Networks, Computer Deep Learning Noise Sound
View on PubMed DOI

Research on Improving the Executive Ability of University Administrators Based on Deep Learning.

Computational and mathematical methods in medicine Jun 9, 2022
Over the years, experts have focused their research on ways to increase the executive capacity of university administrators. This is because only by improving the quality of execution of college and university administrative personnel can they active...
Humans Neural Networks, Computer Administrative Personnel Deep Learning Universities Noise
View on PubMed DOI

Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.

IEEE transactions on medical imaging Jun 1, 2022
Deep neural networks are known to be data-driven and label noise can have a marked impact on model performance. Recent studies have shown great robustness to classic image recognition even under a high noisy rate. In medical applications, learning fr...
Neural Networks, Computer Noise Radiography Diagnostic Imaging Uncertainty
View on PubMed DOI

Intelligent Monitoring System Based on Noise-Assisted Multivariate Empirical Mode Decomposition Feature Extraction and Neural Networks.

Computational intelligence and neuroscience Apr 25, 2022
Because of the nonlinearity and nonstationarity in the vibration signals of some rotating machinery, the analysis of these signals using conventional time- or frequency-domain methods has some drawbacks, and the results can be misleading. In this pap...
Neural Networks, Computer Algorithms Noise Signal Processing, Computer-Assisted Signal-To-Noise Ratio
View on PubMed DOI

An Improved Bearing Fault Diagnosis Model of Variational Mode Decomposition Based on Linked Extension Neural Network.

Computational intelligence and neuroscience Apr 25, 2022
In bearing fault diagnosis, due to the insufficient obtained supervised data and the inevitable noise contained in the vibration signals, the problem of clustering bearing fault diagnosis with imbalanced data containing noise is caused. Thanks to the...
Neural Networks, Computer Algorithms Cluster Analysis Noise Vibration
View on PubMed DOI
Popular Topics
Recent Journals