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Estimating the compressive strength of rectangular fiber reinforced polymer–confined columns using multilayer perceptron, radial basis function, and support vector …
Recently, there has been a tendency to use machine learning (ML)–based methods, such as
artificial neural networks (ANNs), for more accurate estimates. This paper investigates the …
artificial neural networks (ANNs), for more accurate estimates. This paper investigates the …
A Full Transfer Learning LSTM-Based Fractional Order Optimization Method of GM(,2) for Inferring Driving Intention
Y Lian, Z Sun, S Liu, Z Nie - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
This paper proposes a fractional order optimization method of a fractional order multi-
variable Grey model (GM (, 2)) based on a full transfer learning LSTM network. Firstly, a GM …
variable Grey model (GM (, 2)) based on a full transfer learning LSTM network. Firstly, a GM …
Facial emotion recognition via stationary wavelet entropy and particle swarm optimization
X Li, J Sun - Cognitive Systems and Signal Processing in Image …, 2022 - Elsevier
Facial emotions can convey abundant nonverbal information in our daily life. If computers
can accurately recognize human facial emotions, it will better promote the development of …
can accurately recognize human facial emotions, it will better promote the development of …
Optimization of Concrete Slab Floor Thickness of Stilling Basins According to Pressure Fluctuations
Pressure fluctuations are one of the important characteristics of turbulent flows in stilling
basins that are effective for determining the concrete slab floor thickness. This study used …
basins that are effective for determining the concrete slab floor thickness. This study used …
[HTML][HTML] Driving intention inference based on a deep neural network with dropout regularization from adhesion coefficients in active collision avoidance control …
Y Lian, J Huang, S Liu, Z Sun, B Li, Z Nie - Electronics, 2022 - mdpi.com
Driving intention, which can assist drivers to avoid dangerous emergence for the advanced
driver assistant systems (ADAS), can be hardly described accurately for complex traffic …
driver assistant systems (ADAS), can be hardly described accurately for complex traffic …