AIMC Topic: Signal Processing, Computer-Assisted

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The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection.

Journal of voice : official journal of the Voice Foundation Jun 15, 2022
OBJECTIVES: The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide. Amounts of efforts have been made to prevent and control COVID-19's transmission, from early screenings to vaccinations and treatments. Recently, due to the spring up ...
Machine Learning COVID-19 Humans Sound Spectrography Signal Processing, Computer-Assisted Male Acoustics Middle Aged Predictive Value of Tests Cough SARS-CoV-2 Adult Female
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An Improved MobileNet Network with Wavelet Energy and Global Average Pooling for Rotating Machinery Fault Diagnosis.

Sensors (Basel, Switzerland) Jun 11, 2022
In recent years, neural networks have shown good performance in terms of accuracy and efficiency. However, along with the continuous improvement in diagnostic accuracy, the number of parameters in the network is increasing and the models can often on...
Neural Networks, Computer Signal Processing, Computer-Assisted Physical Phenomena Algorithms Diagnosis, Computer-Assisted
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The Masking Impact of Intra-Artifacts in EEG on Deep Learning-Based Sleep Staging Systems: A Comparative Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 2, 2022
Elimination of intra-artifacts in EEG has been overlooked in most of the existing sleep staging systems, especially in deep learning-based approaches. Whether intra-artifacts, originated from the eye movement, chin muscle firing, or heart beating, et...
Humans Algorithms Deep Learning Artifacts Signal Processing, Computer-Assisted China Sleep Electroencephalography
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Correlation-Based Anomaly Detection Method for Multi-sensor System.

Computational intelligence and neuroscience May 31, 2022
In industry, sensor-based monitoring of equipment or environment has become a necessity. Instead of using a single sensor, multi-sensor system is used to fully detect abnormalities in complex scenarios. Recently, physical models, signal processing te...
Neural Networks, Computer Machine Learning Time Factors Signal Processing, Computer-Assisted
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Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization.

Scientific reports May 24, 2022
The deployment of artificial neural networks-based optical channel equalizers on edge-computing devices is critically important for the next generation of optical communication systems. However, this is still a highly challenging problem, mainly due ...
Signal Processing, Computer-Assisted Optical Fibers Optical Devices Neural Networks, Computer Computers
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A Neuromorphic Model With Delay-Based Reservoir for Continuous Ventricular Heartbeat Detection.

IEEE transactions on bio-medical engineering May 19, 2022
There is a growing interest in neuromorphic hardware since it offers a more intuitive way to achieve bio-inspired algorithms. This paper presents a neuromorphic model for intelligently processing continuous electrocardiogram (ECG) signal. This model ...
Electrocardiography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Heart Rate Humans
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Spectral-Temporal Receptive Field-Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification.

IEEE transactions on cybernetics May 19, 2022
Music information retrieval is of great interest in audio signal processing. However, relatively little attention has been paid to the playing techniques of musical instruments. This work proposes an automatic system for classifying guitar playing te...
Signal Processing, Computer-Assisted Neural Networks, Computer Music
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Deep neural networks to recover unknown physical parameters from oscillating time series.

PloS one May 13, 2022
Deep neural networks are widely used in pattern-recognition tasks for which a human-comprehensible, quantitative description of the data-generating process, cannot be obtained. While doing so, neural networks often produce an abstract (entangled and ...
Neural Networks, Computer Time Factors Humans Physics Signal Processing, Computer-Assisted Knowledge
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Optimized design of battery pole control system based on dual-chip architecture.

PloS one May 11, 2022
At present, the global demand for lithium batteries is still in a high growth state, and the traditional lithium battery pole mill control system is still dominated by ARM (Artificial Intelligence Enhanced Computing), DSP (Digital Signal Processing),...
Artificial Intelligence Signal Processing, Computer-Assisted Algorithms Lithium Software
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A 16-Channel Fully Configurable Neural SoC With 1.52 μW/Ch Signal Acquisition, 2.79 μW/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network Accelerator in 22 nm FDSOI.

IEEE transactions on biomedical circuits and systems May 9, 2022
With the advent of high-density micro-electrodes arrays, developing neural probes satisfying the real-time and stringent power-efficiency requirements becomes more challenging. A smart neural probe is an essential device in future neuroscientific res...
Cyclic N-Oxides Neural Networks, Computer Signal Processing, Computer-Assisted Electrodes
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