| 1 |
One to twelve‑month‑ahead forecasting of MODIS‑derived Qinghai Lake area, using neuro‑fuzzy system hybridized by firefly optimization
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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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| 2 |
Evaluating the predictability of eight Atmospheric-Oceanic signals affecting Iran’s Droughts, employing intelligence based and stochastic methods
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ADVANCES IN SPACE RESEARCH
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| 3 |
Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region
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Water
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| 4 |
Evaluating the Impact of Large-Scale Climatic Indices as Inputs for Forecasting Monthly River Flow in Mazandaran Province, Iran
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PURE AND APPLIED GEOPHYSICS
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| 5 |
Closure to “Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches” by Pouya Aghelpour, Ozgur Kisi, and Vahid Varshavian
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JOURNAL OF HYDROLOGIC ENGINEERING
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| 6 |
Comparing three types of data‑driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions
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Scientific Reports
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| 7 |
Time series prediction of seasonal precipitation in Iran, using data-driven models: a comparison under different climatic conditions
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Arabian Journal of Geosciences
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| 8 |
Forecasting Different Types of Droughts Simultaneously Using Multivariate Standardized Precipitation Index (MSPI), MLP Neural Network, and Imperialistic Competitive Algorithm (ICA)
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COMPLEXITY
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| 9 |
Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches
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JOURNAL OF HYDROLOGIC ENGINEERING
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| 10 |
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
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| 11 |
پیش بینی درازمدت تبخیر- تعرق مرجع ماهانه دوره ی 2018-2027، با استفاده از مدل های SARIMA و شبکه عصبی GRNN (مطالعه موردی: ایستگاه سینوپتیک رشت)
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علوم محیطی
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| 12 |
Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
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| 13 |
مقایسه ی عملکرد رگرسیون خطی چندمتغیره و مدل های هوش مصنوعی در تخمین تابش کل خورشیدی
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پژوهش های جغرافیای طبیعی
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