Shiv O. Prasher

Environmental Engineering · 2000–2012

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 11 citations into it; #4,135 of 5,479 by trust here, #2,178 by citations
• Electrical and Electronic Engineering — 7 citations into it

Whom Shiv O. Prasher trusts overall

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

1. Ozgur Kisi
2. Stéphane Mallat

Who trusts Shiv O. Prasher overall

1. Ravinesh C. Deo
2. K. Adachi
3. Hu Zhou
4. Yurui Fan

Papers from Shiv O. Prasher's perspective

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

1. Data-driven modelling: some past experiences and new approaches
2. Time series analysis, forecasting and control
3. A Wavelet Tour of Signal Processing, 2nd Edition
4. Application of Support Vector Machine in Lake Water Level Prediction
5. A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
6. River Flow Modeling Using Artificial Neural Networks
7. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
8. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions (Environmental Modelling & Software)
9. Wavelet Network Model and Its Application to the Prediction of Hydrology
10. NONLINEAR MODEL FOR DROUGHT FORECASTING BASED ON A CONJUNCTION OF WAVELET TRANSFORMS AND NEURAL NETWORKS

Their papers

• Pork quality and marbling level assessment using a hyperspectral imaging system (2007) — 223 citations
• Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada (2012) — 460 citations
• Advances in the acquisition and analysis of CT scan data to isolate a crop root system from the soil medium and quantify root system complexity in 3-D space (2006) — 95 citations
• CLASSIFICATION ACCURACY OF DISCRIMINANT ANALYSIS, ARTIFICIAL NEURAL NETWORKS, AND DECISION TREES FOR WEED AND NITROGEN STRESS DETECTION IN CORN (2005) — 52 citations
• Mass fractal dimension of soil macropores using computed tomography: from the box‐counting to the cube‐counting algorithm (2003) — 99 citations
• Removal of Selected Metal Ions from Aqueous Solutions Using Chitosan Flakes (2000) — 206 citations