Hadi Sanikhani
Environmental Engineering · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 16 citations into it
- Water Science and Technology — 15 citations into it
- Artificial Intelligence — 10 citations into it
- Electrical and Electronic Engineering — 9 citations into it
- Global and Planetary Change — 9 citations into it
Whom Hadi Sanikhani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cândida Ferreira
- Richard G. Brereton
- Pao-Shan Yu
- Miquel Ninyerola
- Surajit Chattopadhyay
- Purna C. Nayak
- Wenchao Wang
- Dong Wang
- G. Huang
- Gavin Rhys Lloyd
Who trusts Hadi Sanikhani overall
Papers from Hadi Sanikhani's perspective
Ordered by how strongly the researchers Hadi Sanikhani trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Networks: A Comprehensive Foundation
- Gene Expression Programming: A New Adaptive Algorithm for Solving Problems (Complex Systems)
- A neuro-fuzzy computing technique for modeling hydrological time series
- Support vector regression for real-time flood stage forecasting
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
- Support vector machines for classification and regression. (In Analysis)
- A methodological approach of climatological modelling of air temperature and precipitation through GIS techniques
- Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)
- Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule–Walker equation based approach
- Gene-Expression Programming for the Development of a Stage-Discharge Curve of the Pahang River
Their papers
- Non-tuned data intelligent model for soil temperature estimation: A new approach (2018) — 101 citations
- Modelling long‐term monthly temperatures by several data‐driven methods using geographical inputs (2015) — 47 citations