M
Morteza Jamshidi
Researcher at Islamic Azad University
Publications - 26
Citations - 836
Morteza Jamshidi is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Density functional theory & Natural bond orbital. The author has an hindex of 8, co-authored 22 publications receiving 450 citations. Previous affiliations of Morteza Jamshidi include Universiti Sains Malaysia.
Papers
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Journal ArticleDOI
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
Mohammad Jamshidi,Ali Lalbakhsh,Jakub Talla,Zdenek Peroutka,Farimah Hadjilooei,Pedram Lalbakhsh,Morteza Jamshidi,Luigi La Spada,Mirhamed Mirmozafari,Mojgan Dehghani,Asal Sabet,Saeed Roshani,Sobhan Roshani,Nima Bayat-Makou,Bahare Mohamadzade,Zahra Malek,Alireza Jamshidi,Sarah Kiani,Hamed Hashemi-Dezaki,Wahab Mohyuddin +19 more
TL;DR: A response to combat the virus through Artificial Intelligence (AI) is rendered in which different aspects of information from a continuum of structured and unstructured data sources are put together to form the user-friendly platforms for physicians and researchers.
Journal ArticleDOI
The effects of polypropylene fibers on the properties of reinforced concrete structures
TL;DR: In this article, the compressive strength, permeability and electric resistivity of concrete samples were studied using polypropylene fibers reinforced concrete properties, and it was concluded that the coral aggregates are not suitable for making concrete or using in concrete structures in the onshore atmosphere.
Journal ArticleDOI
Mechanical properties of fly ash-based geopolymer concrete with crumb rubber and steel fiber under ambient and sulfuric acid conditions
TL;DR: In this article, the fly ash-based geopolymer concrete is composed of alkali-activated aluminosilicate and aggregates, and the results showed that the highest compressive and tensile strengths, being equal to 49MPa and 4.7MPa respectively, belonged to the geopolymers concrete containing crumb rubber and 1% fiber with 20% of fly ash replaced with cement.
Book ChapterDOI
Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions
Mohammad Jamshidi,Ali Lalbakhsh,Jakub Talla,Zdeněk Peroutka,Sobhan Roshani,Václav Matoušek,Saeed Roshani,Mirhamed Mirmozafari,Zahra Malek,Luigi La Spada,Asal Sabet,Mojgan Dehghani,Morteza Jamshidi,Mohammad Mahdi Honari,Farimah Hadjilooei,Alireza Jamshidi,Pedram Lalbakhsh,Hamed Hashemi-Dezaki,Sahar Ahmadi,Saeedeh Lotfi +19 more
TL;DR: In this paper, the authors provide a comprehensive investigation of fundamentals, state-of-the-art and some perspectives to speed up the process of the design, optimization and production of the medicine for COVID-19 based on deep learning (DL) methods.
Journal ArticleDOI
Recognition of switching on or off fluorescence emission spectrum on the Schiff-bases as a Mg 2+ chemosensor: A first principle DFT and TD-DFT study
TL;DR: In this paper, 8-hydroxyquinoline-5-carbaldehyde-(benzotriazol-1′-acetyl) (QCH) ligand was used to identify Mg2+ cation and investigate its fluorescence emission spectrum mechanism.