Recently, researchers have focused on the use of deep learning approaches to solve both the permeability estimation problem and the super-resolution problem; however, these approaches often outperform classical methods in terms of performance. As expected with deep learning algorithms, a variety of diff...
recommendations in interactive learning environments: a deep-neural network approach based on learning behavior knowledge graph Xiaona Xia 1,2 ✉ & Wanxue Qi1,2 Early warning recommendation is crucial for tracking learning behavior and represents a significant issue in interactive learning environments....
However, the scenario is totally reversed in the online phase where the deep learning takes much less time to run [27]. That is, the deep learning outperforms in the case of large data size. Keeping the above-mentioned aspects in minds, we employ the deep learning-based classifier in ...
4.1. Dataset and Experimental Setup The experimental setup in this paper is based on the deep learning framework PyTorch, with the version of 1.10.1+cu102, Python 3.8, and was conducted on a Windows 10 operating system. The processor used was Intel(R) Core(TM) i7-10700 CPU@2.90 GHz, ...