M. Niazian

Environmental Engineering · 2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom M. Niazian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. N. Null

Papers from M. Niazian's perspective

Ordered by how strongly the researchers M. Niazian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Artificial Neural Networks in Hydrology. II: Hydrologic Applications
2. Correlation and simple linear regression. (Radiology)
3. An Analysis of Transformations
4. Practical statistics for medical research
5. Survey on dimension reduction techniques
6. Adaptive Control Processes: A Guided Tour
7. Estimating the Dimension of a Model
8. A general regression neural network
9. A new look at the statistical model identification
10. Minimum redundancy feature selection from microarray gene expression data (Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003)

Their papers

• Modeling Oil Content of Sesame (Sesamum indicum L.) Using Artificial Neural Network and Multiple Linear Regression Approaches (2018) — 48 citations
• Modeling the seed yield of Ajowan ( Trachyspermum ammi L.) using artificial neural network and multiple linear regression models (2018) — 75 citations