1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

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.

While child-sized humanoid robots like the Unitree R1 have come down in price, not everybody has a spare $6,000 to throw around to play with robots, and smaller models like the Tonybot are more ...

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 ...

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.

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 ...

ERLANGER, Ky. and CINCINNATI — L2 Aviation, a leading supplier of global avionics services including engineering, certification, installation and manufacturing proudly hosted the grand opening of its ...