Scientific Research Publishing

Estimating the Rectified Linear Unit Activation Function in Deep Learning Using the Grouping-Adjusted Median Estimator: An Evaluation of Max Pooling ()

The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in econometrics and ...
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Activation functions in neural networks: Types and examples

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...
ascopubs.org

Estimated Glomerular Filtration Rate Equations Overestimate Renal Function Compared With Measured Glomerular Filtration Rate Using 24-Hour Urine Creatinine Clearance

eGFR equations significantly overestimate renal function in patients with renal masses when compared with 24-hour CrCl-derived measured GFR, particularly near clinically meaningful thresholds. This ...
Semiconductor Engineering

A Hybrid Subsystem Architecture To Elevate Edge AI

The world of artificial intelligence is moving beyond the cloud and into our everyday devices from smart sensors to robotics and AR/VR headsets. One of the key components that enables this shift is a ...
IEEE

Adaptive Gradient Neural Networks for Solving the Time-Varying Sylvester Equation

Abstract: This paper develops several new dynamical designs, based on the gradient neural network (GNN), from the perspective of control theory to solve the time-varying Sylvester equation (TVSE). We ...
IEEE

Broad-ESN Based on Radical Activation Function for Predicting Time Series With Multiple Variables

Abstract: Multidimensional time series (MTS) has the unique characteristics of multidimensionality and multifeature, so it becomes particularly important when choosing a prediction model. Therefore, ...