Citation Impact
Citing Papers
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
2018 Standout
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
2017 Standout
A novel single-parameter approach for forecasting algal blooms
2016
The role of artificial intelligence in achieving the Sustainable Development Goals
2020 Standout
Solid-state circuit breaker based on active thyristor topologies
2006
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Differential Evolution: A Survey of the State-of-the-Art
2010 Standout
Forecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric Models
2006
Modeling and Control of Piezo-Actuated Nanopositioning Stages: A Survey
2014 Standout
Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping
2015
MV network planning under uncertainties on distributed generation penetration
2001
Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir
2012 Standout
A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
2017 Standout
HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts
2006
Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
2014
Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
2018
Drought forecasting using new machine learning methods / Prognozowanie suszy z wykorzystaniem automatycznych samouczących się metod
2013
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization
2009 Standout
B-spline neural network design using improved differential evolution for identification of an experimental nonlinear process
2007
A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling
2009
HVDC Circuit Breakers: A Review Identifying Future Research Needs
2011 Standout
Global sliding-mode observer with adjusted gains for locally Lipschitz systems
2011
Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure
2019 Standout
VSC-Based HVDC Power Transmission Systems: An Overview
2009 Standout
Characterising performance of environmental models
2012 Standout
An Integrator-Backstepping-Based Dynamic Surface Control Method for a Two-Axis Piezoelectric Micropositioning Stage
2007
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition
2011
Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting
2012
Works of B. Cannas being referenced
River flow forecasting using neural networks and wavelet analysis
2005
Neural network-based analog fault diagnosis using testability analysis
2004
Data preprocessing for river flow forecasting using neural networks: Wavelet transforms and data partitioning
2006
Automated Recurrent Neural Network Design of a Neural Controller in a Custom Power Device
2001
An algebraic observability approach to chaos synchronization by sliding differentiators
2002
A generalization of a piece-wise linear circuit model of hysteresis
2002
Optimal MV distribution networks planning with heuristic techniques
2003
Learning of Chua's circuit attractors by locally recurrent neural networks
2001
River flow forecast for reservoir management through neural networks
2003