Ananthakrishnan Balasundaram

1. Introduction Renewable energy has always piqued humanity’s interest. Given the problems of global warming and finite fossil fuel reserves, everyone is looking for a dependable and renewable energy source. Renewable energy has the potential to replace carbon-based fossil fuels as the primary energy source for future cities.

4.3. Discussion The proposed approach is applied on a dataset which consists of normal instances as well as abnormal instances for detecting various types of attacks in IoHT. In the proposed DL approach, ReLU and softmax are used as activation functions, and we selected the batch size of 64, with Optimizer as Adam and loss function as categorical cross entropy. The model is trained with different epoch values between 100 and 500.

Abstract : The potential for enhancing brain tumor segmentation with few-shot learning is enormous. While several deep learning networks (DNNs) show promising segmentation results, they all take a substantial amount of training data in order to yield appropriate results. Moreover, a prominent problem for most of these models is to perform well in unseen classes.