Operational pattern analysis for predictive maintenance scheduling of industrial systems. - Yu Zhang 001; Chris Bingham; Michael Gallimore; Sepehr Maleki (CIVEMSA, 2015)

Failure identification for 3D linear systems. - Sepehr Maleki; Paolo Rapisarda; Lorenzo Ntogramatzidis; Eric Rogers (Multidimens. Syst. Signal Process., 2015)

Failure identification for linear repetitive processes. - Sepehr Maleki; Paolo Rapisarda; Eric Rogers (Multidimens. Syst. Signal Process., 2015)

Development and Realization of Changepoint Analysis for the Detection of Emerging Faults on Industrial Systems. - Sepehr Maleki; Chris Bingham; Yu Zhang 001 (IEEE Trans. Ind. Informatics, 2016)

A one-class Clustering technique for Novelty Detection and Isolation in sensor networks. - Sepehr Maleki; Chris Bingham (CIVEMSA, 2017)

Performance analysis of a twin shaft Industrial Gas Turbine at fouling conditions. - Samuel Cruz-Manzo; Sepehr Maleki; Yu Zhang 001; Vili Panov; Anthony Latimer (ICPHM, 2017)

Robust hierarchical clustering for novelty identification in sensor networks: With applications to industrial systems. - Sepehr Maleki; Chris Bingham (Appl. Soft Comput., 2019)

Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering. - Sepehr Maleki; Sasan Maleki; Nicholas R. Jennings (Appl. Soft Comput., 2021)

Deep learning modelling of tip clearance variations on multi-stage axial compressors aerodynamics. - Giuseppe Bruni; Sepehr Maleki; Senthil K. Krishnababu (CoRR, 2023)

Review evolution of dual-resource-constrained scheduling problems in manufacturing systems: modeling and scheduling methods' trends. - Aidin Delgoshaei; Mohd Khairol Anuar bin Mohd Ariffin; Sepehr Maleki; Zulkiflle B. Leman (Soft Comput., 2023)

A music recommender system based on compact convolutional transformers. - Negar Pourmoazemi; Sepehr Maleki (Expert Syst. Appl., 2024)

C(NN)FD - A Deep Learning Framework for Turbomachinery CFD Analysis. - Giuseppe Bruni; Sepehr Maleki; Senthil K. Krishnababu (IEEE Trans. Ind. Informatics, 2024)

C(NN)FD - Deep Learning Modelling of Multi-Stage Axial Compressors Aerodynamics. - Giuseppe Bruni; Sepehr Maleki; Senthil K. Krishnababu (CoRR, 2025)

A comprehensive analysis of PINNs: Variants, Applications, and Challenges. - Afila Ajithkumar Sophiya; Akarsh K. Nair; Sepehr Maleki; Senthil K. Krishnababu (CoRR, 2025)

Physics-Informed Neural Networks for Industrial Gas Turbines: Recent Trends, Advancements and Challenges. - Afila Ajithkumar Sophiya; Sepehr Maleki; Giuseppe Bruni; Senthil K. Krishnababu (CoRR, 2025)