Sepehr Maleki

21 papers Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Capacity-constrained demand response in smart grids using deep reinforcement learning.
CoRR
Shafagh Abband Pashaki, Sepehr Maleki, Amir Badiee
2026 J jnl
Pi-transformer: A prior-informed dual-attention model for multivariate time-series anomaly detection.
Appl. Soft Comput.
Sepehr Maleki, Negar Pourmoazemi
2025 J jnl
A comprehensive analysis of PINNs: Variants, Applications, and Challenges.
CoRR
Afila Ajithkumar Sophiya, Akarsh K. Nair, Sepehr Maleki, Senthil K. Krishnababu
2025 J jnl
C(NN)FD - Deep Learning Modelling of Multi-Stage Axial Compressors Aerodynamics.
CoRR
Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu
2025 J jnl
Diffusion Models: A Mathematical Introduction.
CoRR
Sepehr Maleki, Negar Pourmoazemi
2025 J jnl
FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields.
CoRR
Kenechukwu Ogbuagu, Sepehr Maleki, Giuseppe Bruni, Senthil K. Krishnababu
2025 J jnl
Physics-Informed Neural Networks for Industrial Gas Turbines: Recent Trends, Advancements and Challenges.
CoRR
Afila Ajithkumar Sophiya, Sepehr Maleki, Giuseppe Bruni, Senthil K. Krishnababu
2025 J jnl
Pi-Transformer: A Physics-informed Attention Mechanism for Time Series Anomaly Detection.
CoRR
Sepehr Maleki, Negar Pourmoazemi
2024 J jnl
A music recommender system based on compact convolutional transformers.
Expert Syst. Appl.
Negar Pourmoazemi, Sepehr Maleki
2024 J jnl
C(NN)FD - A Deep Learning Framework for Turbomachinery CFD Analysis.
IEEE Trans. Ind. Informatics
Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu
2023 J jnl
C(NN)FD - a deep learning framework for turbomachinery CFD analysis.
CoRR
Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu
2023 J jnl
Deep learning modelling of tip clearance variations on multi-stage axial compressors aerodynamics.
CoRR
Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu
2023 J jnl
Review evolution of dual-resource-constrained scheduling problems in manufacturing systems: modeling and scheduling methods' trends.
Soft Comput.
Aidin Delgoshaei, Mohd Khairol Anuar bin Mohd Ariffin, Sepehr Maleki, Zulkiflle B. Leman
2021 J jnl
Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering.
Appl. Soft Comput.
Sepehr Maleki, Sasan Maleki, Nicholas R. Jennings
2019 J jnl
Robust hierarchical clustering for novelty identification in sensor networks: With applications to industrial systems.
Appl. Soft Comput.
Sepehr Maleki, Chris Bingham
2017 — conf
A one-class Clustering technique for Novelty Detection and Isolation in sensor networks.
CIVEMSA
Sepehr Maleki, Chris Bingham
2017 — conf
Performance analysis of a twin shaft Industrial Gas Turbine at fouling conditions.
ICPHM
Samuel Cruz-Manzo, Sepehr Maleki, Yu Zhang, Vili Panov, Anthony Latimer
2016 J jnl
Development and Realization of Changepoint Analysis for the Detection of Emerging Faults on Industrial Systems.
IEEE Trans. Ind. Informatics
Sepehr Maleki, Chris Bingham, Yu Zhang
2015 J jnl
Failure identification for 3D linear systems.
Multidimens. Syst. Signal Process.
Sepehr Maleki, Paolo Rapisarda, Lorenzo Ntogramatzidis, Eric Rogers
2015 J jnl
Failure identification for linear repetitive processes.
Multidimens. Syst. Signal Process.
Sepehr Maleki, Paolo Rapisarda, Eric Rogers
2015 — conf
Operational pattern analysis for predictive maintenance scheduling of industrial systems.
CIVEMSA
Yu Zhang, Chris Bingham, Michael Gallimore, Sepehr Maleki