A5007654910- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Groundwater and Watershed Analysis
- Prostate Cancer Diagnosis and Treatment
- Sperm and Testicular Function
- Hydrology and Drought Analysis
- Advanced Technologies in Various Fields
- Reproductive Biology and Fertility
University of Guilan
2023
University of Nevada, Reno
2019-2020
Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose new susceptibility mapping technique. We employ ensemble models based on bagging as meta-classifier and K-Nearest Neighbor (KNN) coarse, cosine, cubic, weighted base classifiers to spatially forecast flooding the Haraz watershed northern Iran. identified using data from Sentinel-1 sensor. then selected 10 conditioning factors predict floods assess their predictive power Relief Attribute...
Floods are some of the most dangerous and frequent natural disasters occurring in northern region Iran. Flooding this area frequently leads to major urban, financial, anthropogenic, environmental impacts. Therefore, development flood susceptibility maps used identify zones catchment is necessary for improved management decision making. The main objective study was evaluate performance an Evidential Belief Function (EBF) model, both as individual model combination with Logistic Regression...
Zrebar Lake is one of the largest freshwater lakes in Iran and it plays an important role ecosystem environment, while its desiccation has a negative impact on surrounded ecosystem. Despite this, this lake provides interesting recreation setting terms ecotourism. The prediction forecasting water level through simple but practical methods can provide reliable tool for future resource management. In present study, we predict daily well-known decision tree-based algorithms, including M5 pruned...
Sperm Morphology Analysis (SMA) is an important technique for diagnosing male infertility, but manual analysis laborious and subjective. Recent deep learning approaches aim to automate SMA, are limited by scarce sperm image datasets. Generative Adversarial Networks (GANs) can synthesize realistic medical images augment small This study applied a GAN-based augmentation expand two datasets - Modified Human (MHSMA) with 1,540 images, Head (HuSHeM) 216 images. Augmentation doubled both The...