Ravinesh C. Deo

Environmental Engineering · 2008–2019

A researcher in the Science corpus: 20 papers; trusts 78 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Environmental Engineering — 184 citations into it; #382 of 5,479 by trust here, #382 by citations
Artificial Intelligence — 144 citations into it; #12,212 of 35,345 by trust here, #9,641 by citations
Global and Planetary Change — 136 citations into it; #979 of 10,225 by trust here, #3,280 by citations
Water Science and Technology — 121 citations into it
Electrical and Electronic Engineering — 97 citations into it; #4,497 of 16,539 by trust here, #4,216 by citations
Statistics and Probability — 33 citations into it
Computer Vision and Pattern Recognition — 32 citations into it
Civil and Structural Engineering — 28 citations into it

Whom Ravinesh C. Deo trusts overall

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

Who trusts Ravinesh C. Deo overall

Papers from Ravinesh C. Deo's perspective

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

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
The Nature of Statistical Learning Theory
Gradient-based learning applied to document recognition
Long Short-Term Memory
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Statistical Learning Theory
Learning Multiple Layers of Features from Tiny Images
Attention is All you Need (Neural Information Processing Systems)
Neural Networks for Pattern Recognition

Their papers

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction (2019) — 612 citations
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset (2016) — 339 citations
Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm (2017) — 157 citations
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq (2016) — 299 citations
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model (2017) — 220 citations
Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey (2018) — 131 citations
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models (2016) — 137 citations
Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms (2019) — 90 citations
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms (2019) — 330 citations
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment (2018) — 54 citations
Non-tuned data intelligent model for soil temperature estimation: A new approach (2018) — 101 citations
Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran (2018) — 184 citations
Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: A new hybrid copula-driven approach (2018) — 50 citations
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model (2018) — 397 citations
An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index (2018) — 75 citations
An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production (2018) — 145 citations
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model (2017) — 241 citations
Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane City (2017) — 47 citations
Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia (2015) — 302 citations
The influence of Reynolds number on a plane jet (2008) — 150 citations