| human | Q5 |
| P2456 | DBLP author ID | 30/5914 |
| P1960 | Google Scholar author ID | 6166VV0AAAAJ |
| P496 | ORCID iD | 0000-0002-0277-6887 |
| P3829 | Publons author ID | 2884006 |
| P1053 | ResearcherID | B-9639-2008 |
| P1153 | Scopus author ID | 7202461054 |
| P108 | employer | University of Adelaide | Q15574 |
| University of British Columbia | Q391028 | ||
| P734 | family name | Maier | Q21491456 |
| Maier | Q21491456 | ||
| Maier | Q21491456 | ||
| P106 | occupation | researcher | Q1650915 |
| Q57606649 | A New Algorithm for Water Distribution System Optimization: Discrete Dynamically Dimensioned Search |
| Q57606579 | A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks |
| Q57741159 | A bottom-up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate |
| Q57606703 | A comparative study of artificial neural network techniques for river stage forecasting |
| Q51320986 | A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. |
| Q57606599 | A framework for using ant colony optimization to schedule environmental flow management alternatives for rivers, wetlands, and floodplains |
| Q57606647 | A genetic algorithm calibration method based on convergence due to genetic drift |
| Q57606582 | A multiobjective ant colony optimization approach for scheduling environmental flow management alternatives with application to the River Murray, Australia |
| Q57606679 | A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction |
| Q57606623 | Accounting for Greenhouse Gas Emissions in Multiobjective Genetic Algorithm Optimization of Water Distribution Systems |
| Q56954288 | Achieving Water Quality System Reliability Using Genetic Algorithms |
| Q57606777 | Advection, growth and nutrient status of phytoplankton populations in the lower River Murray, South Australia |
| Q57606669 | Alternative modelling approaches for the estimation of irreducible water saturation: Australian hydrocarbon basins |
| Q57606551 | An evaluation framework for input variable selection algorithms for environmental data-driven models |
| Q57606615 | An integrated dynamic modeling framework for investigating the impact of climate change and variability on irrigated agriculture |
| Q57606671 | Ant Colony Optimization Applied to Water Distribution System Design: Comparative Study of Five Algorithms |
| Q57606759 | Ant Colony Optimization for Design of Water Distribution Systems |
| Q57606733 | Ant Colony Optimization for the Design of Water Distribution Systems |
| Q57606651 | Ant colony optimization for power plant maintenance scheduling optimization—a five-station hydropower system |
| Q57606685 | Application of natural computing (computational intelligence) methods to water resources and environmental modelling |
| Q57606653 | Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems |
| Q57606688 | Application of two ant colony optimisation algorithms to water distribution system optimisation |
| Q57606554 | Assessment of the ability to meet environmental water requirements in the Upper South East of South Australia |
| Q59189931 | Assessment of the internal dynamics of the Australian Water Balance Model under different calibration regimes |
| Q57441967 | Battle of the Water Networks II |
| Q57606656 | Bayesian model selection applied to artificial neural networks used for water resources modeling |
| Q57606706 | Bayesian training of artificial neural networks used for water resources modeling |
| Q57606625 | Calibration and Optimization of the Pumping and Disinfection of a Real Water Supply System |
| Q57606709 | Calibration and validation of neural networks to ensure physically plausible hydrological modeling |
| Q57606657 | Calibration of Rainfall Runoff Models in Ungauged Catchments: Regionalization Relationships for a Rainfall Runoff Model |
| Q57606627 | Comparison of Genetic Algorithm Parameter Setting Methods for Chlorine Injection Optimization |
| Q112607853 | Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms |
| Q57606736 | Data Division for Developing Neural Networks Applied to Geotechnical Engineering |
| Q33517200 | Data splitting for artificial neural networks using SOM-based stratified sampling |
| Q57606711 | Estimating Risk Measures for Water Distribution Systems Using Metamodels |
| Q57606766 | First-order reliability method for estimating reliability, vulnerability, and resilience |
| Q57606692 | Forecasting chlorine residuals in a water distribution system using a general regression neural network |
| Q57606740 | Genetic Algorithms for Reliability-Based Optimization of Water Distribution Systems |
| Q57606640 | Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization |
| Q120653658 | Impact of evapotranspiration process representation on runoff projections from conceptual rainfall-runoff models |
| Q57606603 | Improved understanding of the searching behavior of ant colony optimization algorithms applied to the water distribution design problem |
| Q57606557 | Including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for urban water supply systems incorporating GHG emissions |
| Q57606605 | Incorporation of Variable-Speed Pumping in Multiobjective Genetic Algorithm Optimization of the Design of Water Transmission Systems |
| Q57606713 | Input determination for neural network models in water resources applications. Part 1—background and methodology |
| Q57606716 | Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a river |
| Q36346571 | Integrating modelling and smart sensors for environmental and human health. |
| Q57606588 | Interpreting streamflow generation mechanisms from integrated surface-subsurface flow models of a riparian wetland and catchment |
| Q57606632 | Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions |
| Q57606607 | Multi-Objective Optimization of Integrated Water Reuse Systems at a Cluster Scale |
| Q57606591 | Multiobjective optimization of water distribution systems accounting for economic cost, hydraulic reliability, and greenhouse gas emissions |
| Q57606782 | Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications |
| Q57606663 | Non-linear variable selection for artificial neural networks using partial mutual information |
| Q57606676 | Optimal Design of Water Distribution Systems including Water Quality and System Uncertainty |
| Q57606634 | Optimal Operation of Complex Water Distribution Systems Using Metamodels |
| Q57606564 | Optimal sequencing of water supply options at the regional scale incorporating alternative water supply sources and multiple objectives |
| Q57606567 | Performance assessment and improvement of recursive digital baseflow filters for catchments with different physical characteristics and hydrological inputs |
| Q57606666 | Power plant maintenance scheduling using ant colony optimization: an improved formulation |
| Q57606755 | Predicting Settlement of Shallow Foundations using Neural Networks |
| Q117916170 | Predicting wildfire induced changes to runoff: A review and synthesis of modeling approaches |
| Q57606570 | Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling |
| Q57606610 | Real-time deployment of artificial neural network forecasting models: Understanding the range of applicability |
| Q58646719 | Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications |
| Q48321094 | Regulatory context is a crucial part of gene function |
| Q57606618 | Relationship between problem characteristics and the optimal number of genetic algorithm generations |
| Q57606593 | Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply system |
| Q57606744 | Reliability-Based Approach to Multicriteria Decision Analysis for Water Resources |
| Q63614408 | Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions |
| Q57606747 | Risk-based approach for assessing the effectiveness of flow management in controlling cyanobacterial blooms in rivers |
| Q57934522 | Robust optimization of water infrastructure planning under deep uncertainty using metamodels |
| Q57741125 | Robustness Metrics: How Are They Calculated, When Should They Be Used and Why Do They Give Different Results? |
| Q57606595 | Selecting among five common modelling approaches for integrated environmental assessment and management |
| Q57606726 | Selection of Genetic Algorithm Parameters for Water Distribution System Optimization |
| Q57606573 | Selection of smoothing parameter estimators for general regression neural networks – Applications to hydrological and water resources modelling |
| Q57606643 | Sensitivity analysis for decision-making using the MORE method—A Pareto approach |
| Q57606611 | Sensitivity of Optimal Tradeoffs between Cost and Greenhouse Gas Emissions for Water Distribution Systems to Electricity Tariff and Generation |
| Q57864588 | Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones |
| Q57606636 | Single-Objective versus Multiobjective Optimization of Water Distribution Systems Accounting for Greenhouse Gas Emissions by Carbon Pricing |
| Q57606620 | Surplus Power Factor as a Resilience Measure for Assessing Hydraulic Reliability in Water Transmission System Optimization |
| Q113442447 | The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support |
| Q59322130 | The cost–greenhouse gas emission nexus for water distribution systems including the consideration of energy generating infrastructure: an integrated conceptual optimization framework and review of literature |
| Q57606638 | The response of freshwater plants to salinity pulses |
| Q57606788 | Use of artificial neural networks for modelling cyanobacteria Anabaena spp. in the River Murray, South Australia |
| Q57606750 | Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters |
| Q57606577 | Using characteristics of the optimisation problem to determine the Genetic Algorithm population size when the number of evaluations is limited |
| Q57606752 | Water Distribution Network Reliability Estimation Using the First-Order Reliability Method |
| Q57606645 | Water Distribution System Optimisation Accounting for a Range of Future Possible Carbon Prices |
| Q57606730 | Water Distribution System Optimization Using Metamodels |
| Q57606597 | What constitutes a good literature review and why does its quality matter? |
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