What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
ChangKyoo Yoo mostly deals with Principal component analysis, Process engineering, Artificial intelligence, Pattern recognition and Collinearity.
His work deals with themes such as Power, Multivariate statistics and Data mining, which intersect with Principal component analysis.
His Process engineering research includes themes of Electricity, Refrigeration, Absorption heat pump, Heat pump and Sequencing batch reactor.
His studies in Sequencing batch reactor integrate themes in fields like Biological system, Statistical model and Measure.
The study incorporates disciplines such as Nonlinear system and Fault detection and isolation in addition to Artificial intelligence.
His Collinearity research is multidisciplinary, relying on both Fuzzy logic, Curse of dimensionality and Data set.
His most cited work include:
- Nonlinear process monitoring using kernel principal component analysis (678 citations)
- Statistical process monitoring with independent component analysis (498 citations)
- Statistical monitoring of dynamic processes based on dynamic independent component analysis (225 citations)
What are the main themes of his work throughout his whole career to date?
Process engineering, Environmental engineering, Principal component analysis, Indoor air quality and Sewage treatment are his primary areas of study.
His research in Process engineering focuses on subjects like Refrigeration, which are connected to Waste management.
His Principal component analysis study integrates concerns from other disciplines, such as Independent component analysis, Multivariate statistics and Fault detection and isolation.
His research in Fault detection and isolation intersects with topics in Data mining and Nonlinear system.
His Indoor air quality research is multidisciplinary, incorporating perspectives in Energy consumption, Ventilation, Pollutant and Air quality index.
His Sewage treatment research incorporates elements of Control theory and Effluent.
He most often published in these fields:
- Process engineering (22.83%)
- Environmental engineering (13.50%)
- Principal component analysis (16.40%)
What were the highlights of his more recent work (between 2019-2021)?
- Process engineering (22.83%)
- Indoor air quality (12.22%)
- Renewable energy (6.11%)
In recent papers he was focusing on the following fields of study:
ChangKyoo Yoo focuses on Process engineering, Indoor air quality, Renewable energy, Waste management and Ventilation.
His studies deal with areas such as Sorting, Efficient energy use and Power as well as Process engineering.
His Indoor air quality study combines topics in areas such as Automotive engineering, Missing data and Fault detection and isolation.
His Fault detection and isolation study combines topics from a wide range of disciplines, such as Subspace topology, Dynamic problem and Air quality index.
ChangKyoo Yoo has included themes like Energy consumption, Control, Smith predictor and Control system in his Ventilation study.
He interconnects Dynamic programming, Duration and Artificial intelligence in the investigation of issues within Outdoor air quality.
Between 2019 and 2021, his most popular works were:
- A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea (26 citations)
- Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant (17 citations)
- Modeling and extensive analysis of the energy and economics of cooling, heat, and power trigeneration (CCHP) from textile wastewater for industrial low-grade heat recovery (10 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Machine learning
- Artificial intelligence
His scientific interests lie mostly in Ventilation, Indoor air quality, Renewable energy, Waste management and Wastewater.
His Ventilation study combines topics in areas such as Control system, Energy consumption, Control, Real-time computing and Efficient energy use.
His Real-time computing research incorporates themes from Fault tolerance, Energy and Fault detection and isolation.
His Indoor air quality research includes elements of Dynamic programming, Duration and Artificial intelligence.
Within one scientific family, ChangKyoo Yoo focuses on topics pertaining to Heat recovery ventilation under Waste management, and may sometimes address concerns connected to Biofuel.
His Wastewater research includes themes of Rankine cycle, Energy management system and Sewage treatment.
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