AHMED, IBRAHIM
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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.014 secondi).
A data-driven modelling framework for predicting the quality of semiconductor devices to support burn-in decisions
2025-01-01 Ahmed, Ibrahim; Baraldi, Piero; Zio, Enrico; Lewitschnig, Horst
A Multistage Physics-Informed Neural Network for Fault Detection in Regulating Valves of Nuclear Power Plants
2024-01-01 Lai, C.; Ahmed, I.; Zio, E.; Li, W.; Zhang, Y.; Yao, W.; Chen, J.
A novel methodology based on long short-term memory stacked autoencoders for unsupervised detection of abnormal working conditions in semiconductor manufacturing systems
2024-01-01 Hosseinpour, Fatemeh; Ahmed, Ibrahim; Baraldi, Piero; Zio, Enrico; Behzad, Mehdi; Horst Lewitschnig, And
Enhancing accuracy of prediction of critical heat flux in Circular channels by ensemble of deep sparse autoencoders and deep neural Networks
2024-01-01 Zubair Khalid, R.; Ahmed, I.; Ullah, A.; Zio, E.; Khan, A.
Explainable critical heat flux prediction in vertical circular channels by self-attention-enhanced one-dimensional convolutional neural networks
2026-01-01 Ahmed, Ibrahim; Zio, Enrico
Importance Sampling for Monte Carlo Dynamic Event Tree Analysis of Accident Scenarios in New-Generation Nuclear Power Plants
2025-01-01 Miqueles, Leonardo; Ahmed, Ibrahim; Di Maio, Francesco; Zio, Enrico
Integration of artificial intelligence within an advanced filtering framework for real-time system state estimation and risk prediction with application to a nuclear microreactor
2024-01-01 Ahmed, Ibrahim; Croci, Andrea; Antonello, Federico; Zio, Enrico
Risk-informed approach to the safety improvement of the reactor protection system of the AGN-201K research reactor
2020-01-01 Ahmed, I.; Zio, E.; Heo, G.
Virtual sensing by grey-box modelling within an importance sampling Monte Carlo dynamic event tree framework for risk monitoring of small modular reactors
2026-01-01 Leonardo, Miqueles; Ahmed, I.; Di Maio, F.; Zio, E.