IEEE

Application of Machine Learning Approaches for Power Estimation of Digital VLSI Circuits at Register Transfer Level

Abstract: In VLSI, estimation of power, performance, and area at appropriate steps during the design process is necessary to meet required specifications. In digital VLSI circuit design, early-stage ...
GitHub

Adding of RMSE and Log-Cosh Loss Function in Machine learning for Model Evaluation

RMSE (Root Mean squared Error) metric to measure the difference between predicted and actual values in regression models. It represents the square root of the average squared differences between ...
Scientific Research Publishing

Chai, T. and Draxler, R.R. (2014) Root Mean Square Error (RMSE) or Mean Absolute Error (MAE)?—Arguments against Avoiding RMSE in the Literature. Geoscientific Model ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
IEEE

Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping

Abstract: To efficiently use the finite wireless communication resource (radio spectrum), a Radio Environment Map (REM) is needed to monitor, analyse and provide rich awareness of spectrum activities ...
News Medical

AI model accurately estimates pulmonary function from chest x-rays

In a recent study published in The Lancet Digital Health, a group of researchers estimated forced vital capacity (FVC) (Total air exhaled after the deepest breath) and forced expiratory volume in 1 ...
Frontiers

Estimating vertical ground reaction forces during gait from lower limb kinematics and vertical acceleration using wearable inertial sensors

1 Biomedical Neuroengineering Research Group, Robotics and Artificial Intelligence Unit, Bioengineering Institute, Miguel Hernandez University, Elche, Spain 2 INESCOP Footwear Technology Center, Elda, ...
Frontiers

Performance Evaluation of Regression Models for the Prediction of the COVID-19 Reproduction Rate

This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, ...