科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
S
Saeid Mehdizadeh
urmia university
27
H指数
54
论文数
2.1K
被引数
0
相关解读
订阅
收录论文
41
发表时间
发表时间
IF
被引数
A hybrid FEDformer-LSTM model for accurate multi-step ahead river streamflow forecasting
混合FEDformer-LSTM模型用于精确的多步提前河流径流预测
Engineering Applications of Computational Fluid Mechanics
IF
5.4
2026-09-09
0
OA
AI
Atefeh Yarahmadi; Rasoul Ameri; Amin Gharehbaghi; Saeid Mehdizadeh
分享
收藏
Correction to: A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
更正:机器学习和深度学习模型在日河流径流预测中的比较评估
Water Resources Management
IF
4.7
2026-08-18
0
PRE
AI
Malihe Danesh; Amin Gharehbaghi; Saeid Mehdizadeh; Amirhossein Danesh
分享
收藏
Advancing river streamflow prediction with convolutional Kolmogorov-Arnold network: a comprehensive comparison against machine learning and deep learning models
使用卷积kolmogorov-arnold网络推进河流流量预测: 与机器学习和深度学习模型的综合比较
Engineering Applications of Computational Fluid Mechanics
IF
5.4
2026-05-23
0
OA
AI
Gharehbaghi, Amin; Heddam, Salim; Mehdizadeh, Saeid; Kim, Sungwon
分享
收藏
Next-generation intelligent framework for pan evaporation prediction: introducing Chebyshev polynomial-based Kolmogorov-Arnold networks
下一代智能框架用于蒸发量预测:引入基于切比雪夫多项式的科尔莫戈罗夫-阿尔诺德网络
Scientific Reports
IF
3.9
2026-05-22
0
OA
AI
Amin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim; Il-Moon Chung
分享
收藏
A deep complementary learning framework for surface water temperature forecasting
深度互补学习框架用于地表水温度预测
Scientific Reports
IF
3.9
2026-05-12
0
OA
AI
Mehdi Jamei; Saeid Mehdizadeh; Mumtaz Ali; Masoud Karbasi; Saad Javed Cheema; Aitazaz Ahsan Farooque; Zaher Mundher Yaseen
分享
收藏
Hybrid machine learning and deep learning models for river suspended sediment load forecasting
河流悬移质输沙量预测的混合机器学习和深度学习模型
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
IF
5.4
2026-01-22
0
PRE
AI
S. Band, Shahab; Qasem, Sultan Noman; Mansor, Zulkefli; Pai, Hao-Ting; Mehdizadeh, Saeid; Gupta, Brij B.; Mosavi, Amir
分享
收藏
A Comparative Evaluation of Deep Learning and Machine Learning Models for River Suspended Sediment Concentration Forecasting
深学习与机器学习模型在河流悬浮泥沙浓度预测中的比较评估
Water Resources Management
IF
4.7
2025-12-23
0
PRE
AI
Amin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim
分享
收藏
Explainable deep learning hybrid models for enhanced prediction of river dissolved oxygen concentration
可解释深度学习混合模型在河流溶解氧浓度增强预测中的应用
Journal of Water Process Engineering
IF
6.7
2025-12-09
0
PRE
AI
Shahab S. Band; Sultan Noman Qasem; Zulkefli Mansor; Hao-Ting Pai; Saeid Mehdizadeh; Brij B. Gupta; Amir Mosavi
分享
收藏
Development of explainable hybrid quantum-inspired recurrent neural networks for predicting groundwater quality: A case study at West Azerbaijan, Iran
开发用于预测地下水质量的可解释混合量子启发循环神经网络:伊朗西阿塞拜疆的案例分析
Journal of Water Process Engineering
IF
6.7
2025-10-28
0
PRE
AI
Milad Sharafi; Amin Gharehbaghi; Saeid Mehdizadeh
分享
收藏
Development of interpretable intelligent frameworks for estimating river water turbidity
开发可解释的智能框架以估计河流水体浊度
Engineering Applications of Computational Fluid Mechanics
IF
5.4
2025-06-06
0
OA
AI
Amin Gharehbaghi; Salim Heddam; Saeid Mehdizadeh; Sungwon Kim
分享
收藏
Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature
开发改进的深度学习模型,用于每日河水温度的多步预测
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
IF
5.4
2025-01-17
0
OA
AI
Gheisari, Mehdi; Shafi, Jana; Kosari, Saeed; Amanabadi, Samaneh; Mehdizadeh, Saeid; Fernandez Campusano, Christian; Barzan Abdalla, Hemn
分享
收藏
A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
每日河流流量预测的机器学习和深度学习模型的比较评估
WATER RESOURCES MANAGEMENT
IF
4.7
2024-11-29
5
PRE
AI
Danesh, Malihe; Gharehbaghi, Amin; Mehdizadeh, Saeid; Danesh, Amirhossein
分享
收藏
Identifying homogeneous hydrological zones for flood prediction using multivariable statistical methods and machine learning
APPLIED WATER SCIENCE
IF
5.7
2024-11-25
0
OA
AI
Safari, Sahar; Sadeghian, Mohammad Sadegh; Hajikandi, Hooman; Mehdizadeh, S. Sajad
分享
收藏
Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation
基于多元变分模态分解的深度学习混合模型估算日太阳辐射
ALEXANDRIA ENGINEERING JOURNAL
IF
6.8
2024-10-01
1
OA
AI
Band, Shahab S.; Qasem, Sultan Noman; Ameri, Rasoul; Pai, Hao-Ting; Gupta, Brij B.; Mehdizadeh, Saeid; Mosavi, Amir
分享
收藏
Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
IF
5.4
2024-01-23
4
OA
AI
Li, Shuguang; Qasem, Sultan Noman; Band, Shahab S.; Ameri, Rasoul; Pai, Hao-Ting; Mehdizadeh, Saeid
分享
收藏
Development of wavelet-based hybrid models to enhance daily soil temperature modeling: application of entropy and τ-Kendall pre-processing techniques
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
IF
3.6
2022-07-18
5
PRE
AI
Mehdizadeh, Saeid; Ahmadi, Farshad; Kouzehkalani Sales, Ali
分享
收藏
Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
IF
3.6
2022-01-29
24
PRE
AI
Ahmadi, Farshad; Mehdizadeh, Saeid; Nourani, Vahid
分享
收藏
Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms
hydrology
IF
3.2
2022-01-01
12
OA
AI
Mehdizadeh, Saeid; Mohammadi, Babak; Ahmadi, Farshad
分享
收藏
Development of Boosted Machine Learning Models for Estimating Daily Reference Evapotranspiration and Comparison with Empirical Approaches
开发用于估算每日参考蒸散量的增强机器学习模型并与经验方法进行比较
WATER
IF
3
2021-12-07
30
OA
AI
Mehdizadeh, Saeid; Mohammadi, Babak; Quoc Bao Pham; Duan, Zheng
分享
收藏
Closure to the discussion of Ebtehaj et al. on Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach
JOURNAL OF HYDROLOGY
IF
6.3
2021-09-01
0
PRE
AI
Mehdizadeh, Saeid; Fathian, Farshad; Safari, Mir Jafar Sadegh; Adamowski, Jan
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
B
Brij B. Gupta
H 指数: 89 · 论文数: 1.0K
J
Jan Adamowski
H 指数: 84 · 论文数: 503
A
Amir Mosavi
H 指数: 79 · 论文数: 958
V
Vahid Nourani
H 指数: 59 · 论文数: 409
Q
Quoc Bao Pham
H 指数: 54 · 论文数: 258
查看更多