Ali Moghiseh

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hybrid Quantum-Classical AI for Industrial Defect Classification in Welding Images.
CoRR
Akshaya Srinivasan, Xiaoyin Cheng, Jianming Yi, Alexander Geng, Desislava Ivanova, Andreas Weinmann, Ali Moghiseh
2024 J jnl
Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation.
CoRR
Akshaya Srinivasan, Alexander Geng, Antonio Macaluso, Maximilian Kiefer-Emmanouilidis, Ali Moghiseh
2024 J jnl
LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions.
CoRR
Lars Krupp, Jonas Bley, Isacco Gobbi, Alexander Geng, Sabine Müller, Sungho Suh, Ali Moghiseh, Arcesio Castañeda Medina, Valeria Bartsch, Artur Widera, Herwig Ott, Paul Lukowicz, Jakob Karolus, Maximilian Kiefer-Emmanouilidis
2024 J jnl
Variational Quantum Linear Solver Enhanced Quantum Support Vector Machine.
Adv. Artif. Intell. Mach. Learn.
Jianming Yi, Kalyani Suresh, Ali Moghiseh, Norbert Wehn
2023 J jnl
Hybrid quantum transfer learning for crack image classification on NISQ hardware.
CoRR
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
2023 J jnl
Improved Anisotropic Gaussian Filters.
CoRR
Alex Keilmann, Michael Godehardt, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
2023 J jnl
Improved FRQI on superconducting processors and its restrictions in the NISQ era.
Quantum Inf. Process.
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
2023 J jnl
Variational Quantum Linear Solver enhanced Quantum Support Vector Machine.
CoRR
Jianming Yi, Kalyani Suresh, Ali Moghiseh, Norbert Wehn
2022 J jnl
A hybrid quantum image edge detector for the NISQ era.
CoRR
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
2022 J jnl
A hybrid quantum image edge detector for the NISQ era.
Quantum Mach. Intell.
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
2022 J jnl
An unambiguous cloudiness index for nonwovens.
CoRR
Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Katja Schladitz
2022 J jnl
Assessing cloudiness in nonwovens.
CoRR
Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Simon Ringger, Katja Schladitz, Ingo Windschiegel
2021 — conf
Deep learning for image based shelve inventories.
ISIVC
Oliver Müller, Chiara Fend, Ali Moghiseh, Katja Schladitz, Henrike Stephani, Thomas Weibel
2021 J jnl
Improved FRQI on superconducting processors and its restrictions in the NISQ era.
CoRR
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
2017 J jnl
Modellbasiertes Lernen in der Oberflächeninspektion.
Autom.
Henrike Stephani, Thomas Weibel, Ali Moghiseh