... in classification. The deep neural network (DNN) was used for classification of haemoprotozoan images into anaplasmosis, babesiosis and theileriosis, and breast images into malignant or benign. Thus, the problems that occurred in the existing models were overcome by the proposed research work which is explained...

... in combination with deep neural network (DNN) for the early prediction of chronic disease. The GR model will obtain prior knowledge about the labelled data by analyzing the correlation between features and class labels. Hence, the weight assignment process of DNN is influenced by the relationship between...

... abbreviations and terms. 08 08 2020 24 08 2020 25 08 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Social media text Text normalization Code-mixed text Deep neural network Language model A vast amount of data...

... with adaptive gain algorithm is integrated with Dropout technique and the authors evaluate its performance in the fine tuning of the pretrained deep network. Design/methodology/approach The parameters of deep neural networks are first learnt using greedy layer-wise unsupervised pretraining. The proposed...