9 citations · 28 across the 6 of their papers we have counts for
6 papers
Optimizing RPL Routing Using Tabu Search to Improve Link Stability and Energy Consumption in IoT Networks
Mehran Tarif, Mohammadhossein Homaei, Abbas Mirzaei +1
In the Internet of Things (IoT) networks, the Routing Protocol for Low-power and Lossy Networks (RPL) is a widely adopted standard due to its efficiency in managing resource-constr…
Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes
Jafar Abdollahi, Babak Nouri-Moghaddam
Diabetes is currently one of the most common, dangerous, and costly diseases in the world that is caused by an increase in blood sugar or a decrease in insulin in the body. Diabete…
Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
Jafar Abdollahi, Babak Nouri-Moghaddam, Mehdi Ghazanfari
learning algorithms. In this paper, we review the classification algorithms used in the health care system (chronic diseases) and present the neural network-based Ensemble learning…
Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning
Jafar Abdollahi, Amir Jalili Irani, Babak Nouri-Moghaddam
The recent global outbreak of covid-19 is affecting many countries around the world. Due to the growing number of newly infected individuals and the health-care system bottlenecks,…
Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease
Jafar Abdollahi, Babak Nouri-Moghaddam
Background and purpose: Heart disease has been one of the most important causes of death in the last 10 years, so the use of classification methods to diagnose and predict heart di…
A Novel Bio-Inspired Hybrid Multi-Filter Wrapper Gene Selection Method with Ensemble Classifier for Microarray Data
Babak Nouri-Moghaddam, Mehdi Ghazanfari, Mohammad Fathian
Microarray technology is known as one of the most important tools for collecting DNA expression data. This technology allows researchers to investigate and examine types of disease…