Abstract: The quadratic polynomial regression model with L2 regularization is developed by combining the nonlinear fitting ability of polynomial regression and the regularization feature of ridge ...

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.

Abstract: Several studies have used convolutional neural networks and long short-term memory (CNN-LSTM) models to detect phishing emails because of their ability to capture attack patterns from raw ...

Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.

Ethereum’s commitment to L2 scalability may be a “double-edged sword” for the ETH price, potentially leading to liquidity dispersion among blockchains. Ethereum’s push toward layer-2 (L2) blockchain ...

Low-dose CT imaging is designed to reduce the radiation dose to the patient by reducing the intensity of the X-rays to obtain CT images [1]. However, this dose reduction can significantly increase the ...