Herein, an ultrasonic continuous-flow cell assembly (UCF) is utilized for the formulation of oil-in-water nanoemulsions (o/w NEs). The setup provides efficient energy input, inducing strong cavitation for effective droplet fragmentation and ensuring continuous o/w NEs production. The emulsification ...
The UCF file can be created in Unico-GUI software. Unico-GUI can be directly opened from AlgoBuilder by pressing the Generate UCF file button in the FSM / MLC function block properties. It is mandatory to specify the number of used FSM and MLC outputs i...
For example, the typical C3D features [43] are derived from a deep 3-D convolutional network trained on the large-scale UCF101 dataset. Moreover, a two-stream approach [44] is proposed to factorize the learning problem of video representation into spatial and temporal cues separately. ...
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the algorithm. Performance is compared to the standard three-layer structure trained with two different weight-learning algorithms (back propagation, and thealgorithm), and also to a greedy algorithm for learning NN structures. A nonparametric Friedman test is used to determine statistical significance....
For fast computation, machine learning methods can finely model complex relation- ships between inputs and outputs. For the complex nonlinear correspondence of the phase equilibrium calculation process, the machine learning method accurately describes the nonlinear relationship and realizes the fast ...
Brain tumor classification using deep CNN features via transfer learning. Comput. Biol. Med. 2019, 111, 103345. [CrossRef] [PubMed] 13. Karthik, R.; Hariharan, M.; Anand, S.; Mathikshara, P.; Johnson, A.; Menaka, R. Attention embedded residual CNN for disease detection in tomato ...