Scientific Research Publishing

Hodson, T. (2022) Root Mean Square Error (RMSE) or Mean Absolute Error (MAE): When to Use Them or Not 1U.S. Geological Survey Central Midwest Water Science Center.

ABSTRACT: This study evaluates the reliability of North American Multi-Model Ensemble (NMME) models in forecasting monthly rainfall over the Kafue River Basin using a well-selected multi-model ...
Scientific Research Publishing

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

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...
The New York Times

Trump Officials Blame Mistake for Setting Off Confrontation With Harvard

An official on the administration’s antisemitism task force told the university that a letter of demands had been sent without authorization. By Michael S. Schmidt and Michael C. Bender Harvard ...
IEEE

Design and Application of Mean and Square Root Circuits for Stochastic Computing

Abstract: Stochastic computing (SC) is an unconventional computing paradigm that represents values using probabilities. This representation enables simple logic gates to perform complex arithmetic ...
IEEE

Root-Mean-Square Error in Encoded Digital Telemetry

Abstract: This paper studies the effectiveness of certain group codes in reducing the root-mean-square (rms) error in a digital telemetry link. The zero-sampling ...