Ali Moghiseh

According to our database, Ali Moghiseh authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation.

Akshaya Srinivasan, Alexander Geng, Antonio Macaluso, Maximilian Kiefer-Emmanouilidis, Ali Moghiseh

CoRR, 2024

LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions.

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

CoRR, 2024

Variational Quantum Linear Solver Enhanced Quantum Support Vector Machine.

Jianming Yi, Kalyani Suresh, Ali Moghiseh, Norbert Wehn

Adv. Artif. Intell. Mach. Learn., 2024

2023

Improved FRQI on superconducting processors and its restrictions in the NISQ era.

Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

Quantum Inf. Process., February, 2023

Hybrid quantum transfer learning for crack image classification on NISQ hardware.

Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

CoRR, 2023

Improved Anisotropic Gaussian Filters.

Alex Keilmann, Michael Godehardt, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

CoRR, 2023

2022

A hybrid quantum image edge detector for the NISQ era.

Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz

Quantum Mach. Intell., 2022

Assessing cloudiness in nonwovens.

Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Simon Ringger, Katja Schladitz, Ingo Windschiegel

CoRR, 2022

An unambiguous cloudiness index for nonwovens.

Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Katja Schladitz

CoRR, 2022

2021

Deep learning for image based shelve inventories.

Oliver Müller, Chiara Fend, Ali Moghiseh, Katja Schladitz, Henrike Stephani, Thomas Weibel

Proceedings of the 10th International Symposium on Signal, Image, Video and Communications, 2021

2017

Modellbasiertes Lernen in der Oberflächeninspektion.

Henrike Stephani, Thomas Weibel, Ali Moghiseh

Autom., 2017