Reza Ghanavati

ORCID: 0000-0002-5170-7618
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About
Contact & Profiles
Research Areas
  • Metal-Organic Frameworks: Synthesis and Applications
  • COVID-19 diagnosis using AI
  • Digital Imaging for Blood Diseases
  • Coronary Interventions and Diagnostics
  • Anomaly Detection Techniques and Applications
  • Machine Learning in Materials Science
  • Cardiac Imaging and Diagnostics
  • Acute Myocardial Infarction Research
  • Crystallography and molecular interactions

New Mexico State University
2024

Sharif University of Technology
2021

In this work, forcefield flexibility parameters were constructed and validated for more than 100 metal-organic frameworks (MOFs). We used atom typing to identify bond types, angle dihedral types associated with stretches, bends, torsions, other interactions. Our work Manz's angle-bending dihedral-torsion model potentials. For a crystal structure containing N atoms in its unit cell, the number of independent interactions is 3(N - 1). Because bonds, angles, dihedrals normally much larger 1),...

10.1039/d4ra01859a article EN cc-by RSC Advances 2024-01-01

The COVID-19 epidemic is spreading day by day. Early diagnosis of this disease essential to provide effective preventive and therapeutic measures. This process can be used a computer-aided methodology improve accuracy. In study, new optimal method has been utilized for the COVID-19. Here, based on fuzzy <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>C</mi> </math> -ordered means (FCOM) along with an improved version enhanced capsule network (ECN) proposed purpose. ECN mayfly...

10.1155/2021/2295920 article EN cc-by BioMed Research International 2021-10-19
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