Monzur Alam Imteaz
Environmental Engineering · 2013–2018
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 15 citations into it; #2,294 of 5,479 by trust here, #3,500 by citations
- Global and Planetary Change — 12 citations into it; #4,009 of 10,225 by trust here, #6,443 by citations
- Water Science and Technology — 8 citations into it; #545 of 1,711 by trust here, #972 by citations
- Artificial Intelligence — 7 citations into it
- Electrical and Electronic Engineering — 7 citations into it
Whom Monzur Alam Imteaz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Monzur Alam Imteaz overall
Papers from Monzur Alam Imteaz's perspective
Ordered by how strongly the researchers Monzur Alam Imteaz trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
- A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models
- Groundwater level forecasting using artificial neural networks
- Artificial neural network modeling of water table depth fluctuations
- A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting
- Neural Networks: A Comprehensive Foundation
- Streamflow Forecasting Using Different Artificial Neural Network Algorithms
- A neuro-fuzzy computing technique for modeling hydrological time series
- Artificial neural network technique for rainfall forecasting applied to the São Paulo region
- Discovering Statistics Using SPSS
Their papers
- Reliability and economic analysis of urban rainwater harvesting: A comparative study within six major cities of Bangladesh (2018) — 123 citations
- Seasonal rainfall forecasting by adaptive network-based fuzzy inference system (ANFIS) using large scale climate signals (2016) — 103 citations
- Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes (2013) — 300 citations
- A study on selection of probability distributions for at-site flood frequency analysis in Australia (2013) — 153 citations