Difficulties in following speech on TV due to loud background sounds are a common issue in broadcasting. Object-based audio (OBA) systems like MPEG-H Audio can address this problem by providing a ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

A vulnerability in the open source deep learning tool Keras could allow attackers to load arbitrary local files or conduct ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Abstract: With growing environmental awareness and increasing energy demands, sustainable manufacturing has become a focal point in the industry. Meanwhile, globalization has propelled distributed ...

Abstract: Convolutional Neural Networks (CNNs) have shown remarkable success across numerous tasks such as image classification, yet the theoretical understanding of their convergence remains ...

What is this book about? Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurate prediction of interleukin-13 (IL-13)-inducing epitopes is crucial for ...