Titlebook: Applied Intelligence and Informatics; First International Mufti Mahmud,M. Shamim Kaiser,Ning Zhong Conference proceedings 2021 Springer Na

ARCHE

Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampltems, which are dependant on efficient energy consumption, and the sampling frequency of the signal is of vital importance element to its battery lifespan. In this article, the impact of the sampling rate on a deep learning-based multi-class classification model is explored via the use of an open-source seizure dataset.

材料等

Method to Enhance Classification of Skin Cancer Using Back Propagated Artificial Neural NetworkFinally, to achieve the maximum accuracy for classification back-propagated based artificial neural network (BP-ANN) developed for the categorization of skin cancer with the spatially gray level dependency matrix (SGLD) features. The suggested research work can be effectively used for the organization of various Benign and Melanoma skin cancers.

致词

领袖气质