Mostafa Sadeghzadeh - Publications, H-index & Citations | 科言猫

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Mostafa Sadeghzadeh

University of Tabriz

1H指数

10论文数

7被引数

收录论文 5

发表时间

Assessing machine learning-based feature selection methods for estimating daily reference evapotranspiration using meteorological data 基于机器学习的特征选择方法在利用气象数据估算日参考蒸散量中的应用评估

Theoretical and Applied Climatology

IF2.7

2026-09-11

0

PREAI

Mostafa Sadeghzadeh; Sepideh Karimi; Jalal Shiri; Bellie Sivakumar

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Improving the Prediction of Suspended Sediment Loads Through a Hybrid Red Fox–XGBoost Model for Diverse Flow Regimes in Illinois State 通过红狐（Red Fox）–XGBoost混合模型改进伊利诺伊州不同水流条件下的悬移质输沙量预测

IF3

2026-02-27

0

OAAI

Mostafa Sadeghzadeh; Sepideh Karimi; Jalal Shiri; Hadi Arvanaghi; Naser Shiri; Gerard Arbat

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Deep learning fusion modeling of reference evapotranspiration with multi-source remote sensing data through addressing noise impacts 通过解决噪声影响，利用多源遥感数据对参考蒸散量进行深度学习融合建模

Smart Agricultural Technology

IF5.7

2026-02-17

0

OAAI

Mostafa Sadeghzadeh; Sepideh Karimi; Sungwon Kim; Jalal Shiri; Il-Moon Chung

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Enhancing dissolved oxygen prediction through a hybrid attention-based LSTM model with wavelet transform and auto-encoder 通过结合小波变换和自编码器的基于混合注意力机制的LSTM模型提升溶解氧预测能力

Journal of Water Process Engineering

IF6.7

2026-02-10

0

PREAI

Naser Shiri; Sepideh Karimi; Razi Sheikholeslami; Mostafa Sadeghzadeh; Jalal Shiri

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Interpretable Temperature-Based Deep Learning for Evapotranspiration: SHAP-Based Feature Analysis in CNN-GPU Sadeghzadeh, M.; Shiri, J.; Karimi, S.; Kisi, O. 基于温度的可解释深度学习用于蒸散量估算：基于SHAP的特征分析在CNN-GPU中的应用. Meteorol. Appl. 2026, 33, e70148. [Google Scholar] [CrossRef]

Meteorological Applications

IF2.5

2026-01-28

2

OAAI

Sadeghzadeh, Mostafa; Shiri, Jalal; Karimi, Sepideh; Kisi, Ozgur

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