What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
His primary scientific interests are in Fuzzy logic, Artificial intelligence, Mathematical optimization, Feature selection and Optimization problem.
João M. C. Sousa regularly ties together related areas like Data mining in his Fuzzy logic studies.
In his study, which falls under the umbrella issue of Artificial intelligence, Tree and Efficient energy use is strongly linked to Machine learning.
In the subject of general Mathematical optimization, his work in Ant colony optimization algorithms, Meta-optimization, Difference-map algorithm and Dynamic problem is often linked to Constraint satisfaction problem, thereby combining diverse domains of study.
The study incorporates disciplines such as Regression analysis, Metering mode, Hematocrit and Predictive value of tests in addition to Feature selection.
His Optimization problem research integrates issues from Discretization, Nonlinear programming, Control theory and Nonlinear system.
His most cited work include:
- Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients (178 citations)
- Fuzzy Decision Making in Modeling and Control (135 citations)
- Fuzzy predictive control applied to an air-conditioning system (131 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Fuzzy logic, Artificial intelligence, Fuzzy control system, Control theory and Mathematical optimization.
His Fuzzy logic research is multidisciplinary, relying on both Data mining and Model predictive control.
In his work, Intensive care unit is strongly intertwined with Intensive care, which is a subfield of Data mining.
His Artificial intelligence research includes themes of Machine learning, Computer vision and Pattern recognition.
His Control theory research includes elements of Control engineering and Fault detection and isolation.
His Ant colony optimization algorithms, Optimization problem, Metaheuristic and Genetic algorithm study in the realm of Mathematical optimization connects with subjects such as Job shop scheduling.
He most often published in these fields:
- Fuzzy logic (47.95%)
- Artificial intelligence (28.42%)
- Fuzzy control system (20.21%)
What were the highlights of his more recent work (between 2015-2021)?
- Fuzzy logic (47.95%)
- Fuzzy control system (20.21%)
- Intensive care (6.16%)
In recent papers he was focusing on the following fields of study:
Fuzzy logic, Fuzzy control system, Intensive care, Data mining and Artificial intelligence are his primary areas of study.
His research integrates issues of Building automation, Interpretability and Cluster analysis in his study of Fuzzy logic.
He interconnects Control system and Software engineering in the investigation of issues within Fuzzy control system.
His Intensive care research is multidisciplinary, incorporating elements of Acute kidney injury, Intensive care unit and Emergency medicine.
His study on Data mining is mostly dedicated to connecting different topics, such as Feature selection.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Logistic regression and Pattern recognition.
Between 2015 and 2021, his most popular works were:
- Classification of new electricity customers based on surveys and smart metering data (60 citations)
- Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks (36 citations)
- A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments (29 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
João M. C. Sousa focuses on Fuzzy logic, Adhesive, Artificial intelligence, Cluster analysis and Data mining.
João M. C. Sousa works on Fuzzy logic which deals in particular with Fuzzy control system.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition.
His Cluster analysis study which covers Consumption that intersects with Sample and Demand forecasting.
In Data mining, he works on issues like Feature selection, which are connected to Metering mode, Regression analysis, Task and Survey data collection.
João M. C. Sousa has researched Fuzzy clustering in several fields, including Fuzzy set operations, Fuzzy set, Fuzzy classification, Defuzzification and Neuro-fuzzy.
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