activity
20002021
most citedLOCV calculation for Beta-stable matter at finite temperature

39 citations · 205 across the 19 of their papers we have counts for

collaborators

19 papers

stat.ML2021

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management

Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the…

hep-ph2021★ 1 cited

Extracting the parton distribution functions evolution equations using the stochastic modeling in the non-equilibrium statistical mechanics

N. Olanj, E. Moradi, M. Modarres

In this paper, using the stochastic modeling of the non-equilibrium statistical mechanics in the momentum space, the evolution equations of the parton distribution functions (PDF)…

hep-ph2021★ 5 cited

A detailed study of charm content of a proton in the frameworks of the Kimber-Martin-Ryskin and Martin-Ryskin-Watt approaches

N. Olanj, M. Modarres

The charm structure function, (), is calculated in the framework of the -factorization formalism by using the unintegrated parton distribution fun…

eess.SP2020★ 4 cited

Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis

Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

Deep learning (DL) has become an essential tool in prognosis and health management (PHM), commonly used as a regression algorithm for the prognosis of a system's behavior. One part…

eess.SP2020★ 9 cited

Neural Network and Particle Filtering: A Hybrid Framework for Crack Propagation Prediction

Seyed Fouad Karimian, Ramin Moradi, Sergio Cofre-Martel +2

Crack detection, length estimation, and Remaining Useful Life (RUL) prediction are among the most studied topics in reliability engineering. Several research efforts have studied p…

eess.SP2019★ 1 cited

A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics

David Verstraete, Enrique Droguett, Mohammad Modarres

Multi-sensor systems are proliferating the asset management industry and by proxy, the structural health management community. Asset managers are beginning to require a prognostics…