Results 121 to 130 of about 201,886 (307)
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
Journal of ForecastingABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher +2 more
openaire +1 more source
Relationship between noise levels and RMSE.
, 2014 This chart shows the RMSE values for inferred transition matrices of n-39 network under 6 perturbations at different noise levels. The standard deviations of noises vary from 10 to 1. In Step 2, the RMSE values range from to ; in Step 3, the RMSE values
Ian Adcock (486486) +4 more
core +1 more source
Advanced Robotics Research, EarlyView.Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
The RMSE of each basic GRNN models.
, 2016 RMSE = root mean square error; N = the number of input of the basic GRNN model. When the N was 9, the basic GRNN model had the minimum RMSE.
Hao Liang (188241) +13 more
core +1 more source
Multiple-step ahead forecasts and RMSE score.
, 2020 Multiple-step ahead forecasts and RMSE score.
Manuel Angel Fernández (8442921) +3 more
core +1 more source
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Distribution of RMSE from predicted outcomes.
, 2014 The red lines show the mean and 95% confidence interval of the RMSE derived from the fitted values using RE estimation. Each combination of inputs is made up of 1,000 simulations, and each receives its own RMSE based on the errors of the fitted values ...
Joseph L. Dieleman (632436) +1 more
core +1 more source
Efficient and Robust Standing Postures of Quadruped Robots
Advanced Robotics Research, EarlyView.A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan +5 more
wiley +1 more source
EXPLORATION AND ANALYSIS OF TIME SERIES MODELS FOR INTELLIGENT TRAFFIC MANAGEMENT SYSTEM [PDF]
Proceedings on Engineering SciencesTraffic flow prediction is a research topic signified by several researchers in a league span of disciplines. Traffic flow prediction is an important aspect in Intelligent Transport Management System (ITMS).
Nivedita Tiwari , Lalji Prasad
doaj +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source