266 citations
- Research Institute for Astronomy and Astrophysics of MaraghIR77 papers
- Shahid Beheshti UniversityIR12 papers
- University of WaterlooCA11 papers
- Shahid Bahonar University of KermanIR9 papers
- International Center for Relativistic AstrophysicsIT8 papers
- Yasouj UniversityIR8 papers
- University of MazandaranIR7 papers
- Institute for Research in Fundamental SciencesIR6 papers
- Canadian Quantum Research CenterCA5 papers
- Middle East Technical UniversityTR5 papers
- University of ZanjanIR5 papers
- Isfahan University of TechnologyIR4 papers
11 papers · 1 filter
Self-regulated growth of galaxy sizes along the star-forming main sequence
Shweta Jain, Sandro Tacchella, Moein Mosleh
We present a systematic analysis of the spatially resolved star formation histories (SFHs) using Hubble Space Telescope imaging data of , intermediate redshifts $0.5 \leq…
Constraint on the equation of state of strange quark star: Perturbative QCD along with a density-dependent bag constant
J. Sedaghat, G. H. Bordbar, S. M. Zebarjad
This study investigates the structural properties of strange quark stars (SQS) using a Quantum Chromodynamics (QCD) perturbative model combined with the latest Particle Data Group…
Replica wormhole and AMPS firewall
Amir A. Khodahami, Azizollah Azizi
We investigate the potential for generating an AMPS firewall from the replica wormhole topology, which describes the post-Page time spacetime in the evaporation process of a black…
Decision Support System to triage of liver trauma
Ali Jamali, Azadeh Nazemi, Ashkan Sami +3
Trauma significantly impacts global health, accounting for over 5 million deaths annually, which is comparable to mortality rates from diseases such as tuberculosis, AIDS, and mala…
Coupled Sine-Gordon and System
Azizollah Azizi, Shaghayegh Parkami
Coupling the fields may lead to the emergence of new phenomena. In the realm of classical fields and nonlinear systems, extensive research has been conducted on their solitary and…
Quantizing YOLOv7: A Comprehensive Study
Mohammadamin Baghbanbashi, Mohsen Raji, Behnam Ghavami
YOLO is a deep neural network (DNN) model presented for robust real-time object detection following the one-stage inference approach. It outperforms other real-time object detector…