A. Nury
Environmental Engineering · 2017
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 7 citations into it; #4,127 of 5,479 by trust here, #5,399 by citations
- Global and Planetary Change — 7 citations into it; #7,226 of 10,225 by trust here, #10,129 by citations
- Artificial Intelligence — 6 citations into it
- Electrical and Electronic Engineering — 6 citations into it; #12,008 of 16,539 by trust here, #16,387 by citations
Whom A. Nury trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Yue
- Khaled H. Hamed
- Vahid Nourani
- Donald B. Percival
- Li Zhang
- Mojtaba Shadmani
- Andrew T. Walden
- Mohammad Taghi Aalami
- Weida Zhou
- Safar Marofi
Who trusts A. Nury overall
Papers from A. Nury's perspective
Ordered by how strongly the researchers A. Nury trusts endorse each paper. Same corpus, a different order for every researcher.
- The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series
- Wavelet support vector machine (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))
- A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation (Engineering applications of artificial intelligence)
- Wavelet Methods for Time Series Analysis
- Wavelet Methods for Time Series Analysis
- Groundwater level forecasting using artificial neural networks
- Feature extraction via multiresolution analysis for short-term load forecasting (IEEE Transactions on Power Systems)
- Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran (Water resources management)
- Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis
- Power of the Mann–Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series