A5084966646- Heavy metals in environment
- Multiple Sclerosis Research Studies
- Nanocomposite Films for Food Packaging
- COVID-19 impact on air quality
- Heavy Metal Exposure and Toxicity
- Pesticide Residue Analysis and Safety
- COVID-19 epidemiological studies
- Adsorption and biosorption for pollutant removal
- Heavy Metals in Plants
- COVID-19 Pandemic Impacts
- Hydrological Forecasting Using AI
- Systemic Sclerosis and Related Diseases
- Radioactivity and Radon Measurements
- Water Quality and Pollution Assessment
- Pesticide Exposure and Toxicity
- Systemic Lupus Erythematosus Research
- Electrospun Nanofibers in Biomedical Applications
- Water Quality Monitoring Technologies
- Toxic Organic Pollutants Impact
Shahid Beheshti University of Medical Sciences
2022-2024
University of Neyshabur
2019-2021
The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into a single framework. By doing so, it allows for quicker learning adaptable interpretation capabilities, which are useful modeling complex patterns identifying nonlinear relationships. One significant challenge in assessing water quality is difficulty time-consuming nature determining various factors that impact it. Given this situation, predicting heavy...
Background A rising trend for incidence of multiple sclerosis (MS) has been observed during the recent years in Iran. Several factors have investigated as reason, but socioeconomic determinants neglected. The present study aimed to investigate relationship between Human Development Index (HDI), income and education MS prevalence provinces Methods data used this were obtained from three sources: (a) National Registry 2006 2013, (b) Statistical Centre Iran demographic, income, percentage...
Background and Objectives: The prevalence of multiple sclerosis (MS) differs between different regions Iran. This study aimed to investigate changes in incidence rates MS ten ethnic cultural zones Iran set by the Ministry Health Medical Education. Materials Methods: Information on was obtained from national registry during period 2006–2013. Demographic data were acquired Statistical Centre Results: A rising trend observed Iran, overall, increased 3.67% per year. highest MS, most dramatic...