What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Machine learning
His primary areas of investigation include Artificial neural network, Artificial intelligence, Data mining, Mean squared error and Support vector machine.
Kwok Wing Chau has included themes like Statistics, Moving average, Singular spectrum analysis, Benchmark and Adaptive neuro fuzzy inference system in his Artificial neural network study.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Particle swarm optimization, Water quality modelling and Pattern recognition.
His biological study spans a wide range of topics, including Empirical modelling, Fuzzy set, Hydrology, Decomposition and Probabilistic neural network.
In Fuzzy set, Kwok Wing Chau works on issues like Lead time, which are connected to Flood forecasting, Overfitting and Genetic algorithm.
As a part of the same scientific study, Kwok Wing Chau usually deals with the Mean squared error, concentrating on Time series and frequently concerns with Series, Autoregressive model and Streamflow.
His most cited work include:
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series (528 citations)
- Using support vector machines for long-term discharge prediction (388 citations)
- Neural network and genetic programming for modelling coastal algal blooms (304 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial neural network, Artificial intelligence, Expert system, Machine learning and Hydrology.
His Artificial neural network research incorporates elements of Data mining, Particle swarm optimization, Support vector machine, Mean squared error and Benchmark.
Kwok Wing Chau works mostly in the field of Particle swarm optimization, limiting it down to concerns involving Perceptron and, occasionally, Swarm intelligence.
His research links Pattern recognition with Artificial intelligence.
His work deals with themes such as Blackboard system, Software engineering, Knowledge base and Knowledge-based systems, which intersect with Expert system.
His work carried out in the field of Hydrology brings together such families of science as Estuary and Eutrophication.
He most often published in these fields:
- Artificial neural network (23.99%)
- Artificial intelligence (17.63%)
- Expert system (10.12%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial neural network (23.99%)
- Artificial intelligence (17.63%)
- Adaptive neuro fuzzy inference system (7.51%)
In recent papers he was focusing on the following fields of study:
Kwok Wing Chau mainly investigates Artificial neural network, Artificial intelligence, Adaptive neuro fuzzy inference system, Support vector machine and Machine learning.
He connects Artificial neural network with Mars Exploration Program in his study.
His research integrates issues of Water quality, Streamflow and Environmental impact assessment in his study of Artificial intelligence.
His Adaptive neuro fuzzy inference system research includes elements of Agricultural productivity, Wind power and Climate change, Downscaling.
His Support vector machine research is multidisciplinary, relying on both Arid, Extreme learning machine and Mean squared error.
His biological study deals with issues like Flood myth, which deal with fields such as Big data.
Between 2017 and 2021, his most popular works were:
- Flood prediction using machine learning models: Literature review (237 citations)
- 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 (235 citations)
- Coupling a firefly algorithm with support vector regression to predict evaporation in Northern Iran (189 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
His main research concerns Artificial intelligence, Life-cycle assessment, Adaptive neuro fuzzy inference system, Machine learning and Support vector machine.
When carried out as part of a general Artificial intelligence research project, his work on Expert system is frequently linked to work in Scale, therefore connecting diverse disciplines of study.
Kwok Wing Chau interconnects Inflow, Mathematical optimization, Energy system and Hydropower in the investigation of issues within Adaptive neuro fuzzy inference system.
The various areas that Kwok Wing Chau examines in his Support vector machine study include Mean squared error, Pavement management, Meteorology and Water resources.
His work deals with themes such as Artificial neural network, Water balance, Key and Arid, which intersect with Meteorology.
His Artificial neural network study integrates concerns from other disciplines, such as Prediction interval and Control theory.
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