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 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.
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.
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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Fuzzy Decision Making in Modeling and Control
João M C Sousa;Uzay Kaymak.
Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
Susana M. Vieira;Luís F. Mendonça;Gonçalo J. Farinha;João M.C. Sousa.
Applied Soft Computing (2013)
Fuzzy predictive control applied to an air-conditioning system
J.M. Sousa;R. Babuška;H.B. Verbruggen.
Control Engineering Practice (1997)
Genetic algorithms for optimization in predictive control
C. Onnen;R. Babuška;U. Kaymak;J.M. Sousa.
Control Engineering Practice (1997)
Missing data in medical databases: Impute, delete or classify?
Federico Cismondi;André S. Fialho;Susana M. Vieira;Shane R. Reti.
Artificial Intelligence in Medicine (2013)
An architecture for fault detection and isolation based on fuzzy methods
L. F. Mendonça;J. M. C. Sousa;J. M. G. Sá da Costa.
Expert Systems With Applications (2009)
Distributed supply chain management using ant colony optimization
C.A. Silva;J.M.C. Sousa;T.A. Runkler;J.M.G. Sá da Costa.
European Journal of Operational Research (2009)
Efficiency, cost and life cycle CO2 optimization of fuel cell hybrid and plug-in hybrid urban buses
João P. Ribau;Carla M. Silva;João M.C. Sousa.
Applied Energy (2014)
Cohen's kappa coefficient as a performance measure for feature selection
Susana M. Vieira;Uzay Kaymak;Joao M. C. Sousa.
ieee international conference on fuzzy systems (2010)
Rescheduling and optimization of logistic processes using GA and ACO
C. A. Silva;J. M. C. Sousa;T. A. Runkler.
Engineering Applications of Artificial Intelligence (2008)
Profile was last updated on December 6th, 2021.
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