3 citations · 7 across the 8 of their papers we have counts for
9 papers
Quantum-Enhanced Detection of Viral cDNA via Luminescence Resonance Energy Transfer Using Upconversion and Gold Nanoparticles
Shahriar Esmaeili, Navid Rajil, Ayla Hazrathosseini +10
The COVID-19 pandemic has profoundly impacted global economies and healthcare systems, revealing critical vulnerabilities in both. In response, our study introduces a groundbreakin…
Innovations in Surface Modification Techniques: Advancing Hydrophilic \textit{LiYF:Yb, Er, Tm} Upconversion Nanoparticles and Their Applications
Shahriar Esmaeili, Navid Rajil, Ayla Hazrathosseini +8
The development and application of upconversion nanoparticles (UCNPs) have garnered significant attention due to their unique optical properties and potential uses in bioimaging, d…
Quantum Optical Immunoassay: Upconversion Nanoparticle-based Neutralizing Assay for COVID-19
Navid Rajil, Shahriar Esmaeili, Benjamin W. Neuman +7
In a viral pandemic, a few important tests are required for successful containment of the virus and reduction in severity of the infection. Among those tests, a test for the neutra…
Tracing app technology: An ethical review in the COVID-19 era and directions for post-COVID-19
Saleh Afroogh, Amir Esmalian, Ali Mostafavi +4
We conducted a systematic literature review on the ethical considerations of the use of contact tracing app technology, which was extensively implemented during the COVID-19 pandem…
UGRWO-Sampling for COVID-19 dataset: A modified random walk under-sampling approach based on graphs to imbalanced data classification
Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian +1
This paper proposes a new RWO-Sampling (Random Walk Over-Sampling) based on graphs for imbalanced datasets. In this method, two schemes based on under-sampling and over-sampling me…
Weighted second-order cone programming twin support vector machine for imbalanced data classification
Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian +1
We propose a method of using a Weighted second-order cone programming twin support vector machine (WSOCP-TWSVM) for imbalanced data classification. This method constructs a graph b…
Resonant absorption as a damping mechanism for the transverse oscillations of the coronal loops observed by SDO/AIA
Javad Ganjali, Nastaran Farhang, Shahriar Esmaeili +2
Solar coronal loops represent the variety of fast, intermediate, and slow normal mode oscillations. In this study, the transverse oscillations of the loops with a few-minutes perio…
QLMC-HD: Quasi Large Margin Classifier based on Hyperdisk
Hassan Ataeian, Shahriar Esmaeili, Saeideh Roshanfekr +3
In the area of data classification, the different classifiers have been developed by their own strengths and weaknesses. Among these classifiers, we propose a method that is based…
Wavefunction Properties of a Single and a System of Magnetic Flux Tube(s) Oscillations
Shahriar Esmaeili, Mojtaba Nasiri, Neda Dadashi +1
In this study, the properties of wavefunctions of the MHD oscillations for a single and a system of straight flux tubes are investigated. Magnetic flux tubes with a straight magnet…