137 citations
- University of MazandaranIR7 papers
- University of Science and Technology of MazandaranIR5 papers
- Institute for Research in Fundamental SciencesIR3 papers
- Tarbiat Modares UniversityIR3 papers
- University of BirjandIR3 papers
- Baylor College of MedicineUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Isfahan University of TechnologyIR2 papers
- National University of MalaysiaMY2 papers
- National Yunlin University of Science and TechnologyTW2 papers
- Obuda UniversityHU2 papers
- University of GenoaIT2 papers
19 papers
Electrohydrodynamic wind generation in planar DBDs: role of electrode symmetry and geometry
Farshad Sohbatzadeh, Saeed Ranjbar Malekshah, Hamed Soltani Ahmadi +4
This study experimentally and numerically investigates the electrohydrodynamic (EHD) interaction produced by a surface dielectric barrier discharge (SDBD) plasma actuator at atmosp…
Measurement of the dineutrino system kinematic variables in dileptonic top quark pair production in proton-proton collisions at = 13 TeV
CMS Collaboration
Differential top quark pair production cross sections are measured in the dilepton final states ee, , and e, as a function of kinematic variables of the…
Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis
Mohammadreza Kavianpour, Parisa Kavianpour, Amin Ramezani +1
Bearing fault diagnosis under varying working conditions faces challenges, including a lack of labeled data, distribution discrepancies, and resource constraints. To address these…
Holographic real and imaginary potentials of heavy quarkonium in Yang-Mills-dilaton black holes
Marjan Kioumarsipour, Bahman Khanpour
Within the methods of the real and the imaginary potential for investigating the melting of a heavy quarkonium in the AdS/CFT correspondence, we study the effects of the dynamical…
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data
Mohammadreza Kavianpour, Parisa Kavianpour, Amin Ramezani
One of the most significant obstacles in bearing fault diagnosis is a lack of labeled data for various fault types. Also, sensor-acquired data frequently lack labels and have a lar…
Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU
Farhad Pakdaman, Moncef Gabbouj
Learned Compression (LC) is the emerging technology for compressing image and video content, using deep neural networks. Despite being new, LC methods have already gained a compres…