Results 71 to 80 of about 3,821,405 (172)
Sensors, 2016 The scientific and effective prediction of drawbar pull is of great importance in the evaluation of military vehicle trafficability. Nevertheless, the existing prediction models have demonstrated lots of inherent limitations.
Fan Yang +3 more
doaj +1 more source
Complexity, Volume 2026, Issue 1, 2026.Monitoring, governing, and guiding public opinion on social media during emergencies is challenging, often leading to mass panic, rumors, and public opinion crises. Understanding the scale evolution of information and subjects within the public opinion ecology of emergencies can aid in achieving macrocontrol.
Yixue Xia +6 more
wiley +1 more source
International Journal of Energy Research, Volume 2026, Issue 1, 2026.As power systems transition toward high renewable penetration, assessing stability through deterministic margins is becoming obsolete due to rising operational uncertainties. This paper develops a novel probabilistic risk‐based framework to compute a Global Instability Index, which simultaneously accounts for rotor angle, voltage, and frequency ...
Umair Shahzad, Cheng Du
wiley +1 more source
RVM-based multi-class classification of remotely sensed data [PDF]
, 2008 The relevance vector machine (RVM), a Bayesian extension of the support vector machine (SVM), has considerable potential for the analysis of remotely sensed data.
Foody, Giles M.
core +1 more source
International Journal of Energy Research, Volume 2026, Issue 1, 2026.This paper introduces Wiener‐informed neural network (WINN), an innovative physics‐informed neural network (PINN) framework designed for the accurate prediction of the remaining useful life (RUL) of lithium‐ion batteries (LIBs). Accurately predicting the RUL of LIBs is essential for ensuring battery system reliability, yet it is challenging due to the ...
Elaheh Sadat Ahmadi Mousavi +5 more
wiley +1 more source
New SNR estimation algorithm based on relevance vector machine [PDF]
, 2013 A new SNR estimation algorithm based on relevance vector machine (RVM) was proposed,it can not only be used under the flat fading channel,but also meet the request of larger estimation range and higher estimation accuracy of PSK.The estimation model was ...
Hua XU +4 more
core +1 more source
DETERMINATION OF CONTAMINATATED WELLS TO NO3-N: A NOVEL VULNERABILITY ASSESSMENT TOOL
Journal of Urban and Environmental Engineering, 2014 Contamination of well with nitrate-N (NO3-N) possess various threats to human health. This problem becomes even more critical when these wells serve as source of drinking water as in the case of many rural parts of USA.
Pijush Samui, Barnali Dixon
doaj
, 2012 This article employs Support Vector Machine (SVM) and Relevance Vector Machine (RVM) for prediction of Evaporation Losses (E) in reservoirs. SVM that is firmly based on the theory of statistical learning theory, uses regression technique by introducing ε-
Samui, Pijush, Dixon, Barnali M.
core +1 more source
Rolling Bearing Fault Diagnosis Based on ELCD Permutation Entropy and RVM
Journal of Engineering, 2016 Aiming at the nonstationary characteristic of a gear fault vibration signal, a recognition method based on permutation entropy of ensemble local characteristic-scale decomposition (ELCD) and relevance vector machine (RVM) is proposed.
Jiang Xingmeng +4 more
doaj +1 more source