Machine Learning
Integration of Clinical, Genetic, and Molecular Features in Predicting Castration Resistance Events in Prostate Cancer: A Comprehensive Machine Learning Analysis

A. Mohamadi; M. Habibi; F. Parandin

Volume 12, Issue 2 , July 2024, , Pages 363-372

https://doi.org/10.22061/jecei.2024.10406.697

Abstract
  Background and Objectives: Metastatic castration-sensitive prostate cancer (mCSPC) represents a critical juncture in the management of prostate cancer, where the accurate prediction of the onset of castration resistance is paramount for guiding treatment decisions.Methods: In this study, we underscore ...  Read More

Photonics
Realization of Ultra-compact All-optical Universal NOR Gate on Photonic Crystal Platform

F. Parandin

Volume 9, Issue 2 , July 2021, , Pages 185-192

https://doi.org/10.22061/jecei.2021.7637.414

Abstract
  Background and Objectives: Universal NOR gate is one of the most important gates in digital design. The all-optical NOR gate can be designed using photonic crystals. These types of gates have a small size and can be integrated.Methods: In this paper, an optical NOR gate is designed based on 2D photonic ...  Read More

Optoelectronics and Photonics
Low Delay Time All Optical NAND, XNOR and OR Logic Gates Based on 2D Photonic Crystal Structure

F. Parandin; M. Malmir

Volume 8, Issue 1 , January 2020, , Pages 1-8

https://doi.org/10.22061/jecei.2020.6809.342

Abstract
  Background and Objectives: Recently, photonic crystals have been considered as the basic structures for the realization of various optical devices for high speed optical communication.Methods: In this research, two dimensional photonic crystals are used for designing all optical logic gates. A photonic ...  Read More