Abstract: The present paper mainly discuss the classification of continuous and discontinuous functions of unbounded variation on closed intervals. The classification of functions of bounded variation ...

A complete classification of the WZNW modular invariant partition functions is known for very few affine algebras and levels, the most significant being all levels of SU(2), and level 1 of all simple ...

Inspired by biological neurons, the activation functions play an essential part in the learning process of any artificial neural network commonly used in many real-world problems. Various activation ...

ABSTRACT: Classification is a key element of records management initiatives, ensuring systematic organization of documents and facilitates information retrieval. Records management initiatives are ...

This project presents a detailed approach to develop a Convolutional Neural Network (CNN) for multi-label image classification using the Triple MNIST dataset, which contains images of three ...