three ensemble-learning methods-specifically, bagging, random forest, and boosting-with those of various neural … boosting is superior to other machine-learning methods including neural networks. It is also found that the performance of …

learning techniques. Moreover, we proposed a novel NNR (NASNet Random forest) method for feature engineering. The proposed NNR … from these spatial features. The feature set obtained from the data extraction trains machine learning models. Our …

feasible using machine learning models with the advent of transfer learning algorithms. Research initiatives are drawn to the … learning is proposed to yield optimal results in the target model. A multiple rounds multiple incremental transfer learning … the source domain to the target domain. Incremental learning has played an important role in lowering the risk of …