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Canada-0-EMBOSSING Azienda Directories
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Azienda News:
- Development of Gas–Liquid Flow Regimes Identification Using a . . .
The problem of classifying gas–liquid two-phase flow regimes from ultrasonic signals is considered A new method, belt-shaped features (BSFs), is proposed for p
- Development of Gas-Liquid Flow Regimes Identification Using a . . .
The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is
- Development of Gas–Liquid Flow Regimes Identification Using a . . .
Moreover, the belt-shaped features (BSF), is proposed for performing feature input parameters, such as gas and liquid superficial velocities, extraction on the pre-processed data
- Development of Gas–Liquid Flow Regimes Identification Using a . . .
The problem of classifying gas–liquid two-phase flow regimes from ultrasonic signals is considered A new method, belt-shaped features (BSFs), is proposed for performing feature extraction on the preprocessed data
- Development of Gas-Liquid Flow Regimes Identification Using a . . .
The problem of classifying gas-liquid two-phase flow regimes from ultrasonic signals is considered A new method, belt-shaped features (BSFs), is proposed for performing feature extraction on the preprocessed data
- Development of Gas-Liquid Flow Regimes Identification Using a . . .
The problem of classifying gas-liquid two-phase flow regimes from ultrasonic signals is considered A new method, belt-shaped features (BSFs), is proposed for performing feature extraction on the preprocessed data
- Gas-liquid flow regimes identification using non-intrusive Doppler . . .
The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed This research systematically evaluates three different schemes with four CRNN-based classifiers over fourteen experiments
- Boyu Kuang - Google Scholar
Research fellow in Computer Vision and AI Cranfield University - Cited by 1,285 - computer vision - deep learning - target detection - pattern recognition - artificial
- Zeeshan A. Rana - dblp
Development of Gas-Liquid Flow Regimes Identification Using a Noninvasive Ultrasonic Sensor, Belt-Shape Features, and Convolutional Neural Network in an S-Shaped Riser IEEE Trans Cybern 53 (1): 3-17 (2023)
- Non-intrusive classification of gas-liquid flow regimes in an S-shaped . . .
The use of Deep Neural Networks (DNNs) for the classification of electrochemical mechanisms based on training with simulations of the initial cycle of potential have been reported
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