An improved hybrid firefly algorithm with probability attraction model (IHFAPA) is proposed to solve the problems of low computational efficiency and accuracy in solving complex optimization problems. First, method square-root sequence was used generate initial population, so that population had better diversity. Second, an adaptive probabilistic attract fireflies according brightness level fir...

In this study, a deep convolutional neural network based on an improved You only look once version 3 (YOLOv3) is proposed to improve the accuracy and real-time detection of small targets in complex backgrounds when detecting leaky weld studs automotive workpiece. To predict stud locations, prediction layer model increases from three layers four layers. An image pyramid structure obtains feature...

• A CFD model to predict aeration of spillway flow. Highly economical approach combining VOF with explicit modelling air entrainment. Tested at four different step Froude numbers and validated by experimental data. Model implemented within the framework OpenFOAM. This work considers application entrainment developed in [P. Lopes et al. Int. J. Nonlin. Sci. Num., vol. 18, pp. 559-574, 2017] simu...