What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Structural engineering
- Mechanical engineering
Shirley J. Dyke mainly focuses on Control engineering, Damper, Magnetorheological fluid, Control system and Structural engineering.
Her research in Control engineering tackles topics such as Stability which are related to areas like Synchronization.
Many of her studies on Damper involve topics that are commonly interrelated, such as Control theory.
Her study in the field of Nonlinear system and Control theory also crosses realms of Acceleration.
Her Magnetorheological fluid research incorporates elements of Reduction and Vibration control.
Her work on Bridge and Structural health monitoring as part of general Structural engineering research is frequently linked to Benchmark, thereby connecting diverse disciplines of science.
Her most cited work include:
- PHENOMENOLOGICAL MODEL FOR MAGNETORHEOLOGICAL DAMPERS (1576 citations)
- Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction (1057 citations)
- Phenomenological Model of a Magnetorheological Damper (499 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Structural engineering, Control theory, Control engineering, Damper and Nonlinear system.
Her biological study spans a wide range of topics, including Vibration and Modal.
The Control theory and Linear-quadratic-Gaussian control research Shirley J. Dyke does as part of her general Control theory study is frequently linked to other disciplines of science, such as Acceleration, Parametric model and Physical system, therefore creating a link between diverse domains of science.
Her work deals with themes such as Control system, Stability, Control, Simulation and Actuator, which intersect with Control engineering.
Her work in Magnetorheological fluid and Magnetorheological damper is related to Damper.
Her Magnetorheological fluid study integrates concerns from other disciplines, such as Earthquake engineering and Reduction.
She most often published in these fields:
- Structural engineering (26.92%)
- Control theory (21.54%)
- Control engineering (20.38%)
What were the highlights of her more recent work (between 2018-2021)?
- Nonlinear system (14.23%)
- Control theory (21.54%)
- Benchmark (6.54%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Nonlinear system, Control theory, Benchmark, Artificial intelligence and Convolutional neural network.
Her research integrates issues of Kalman filter, Mechanics and Control engineering in her study of Nonlinear system.
Her Control engineering research is multidisciplinary, incorporating elements of Control system, Mechanical system, Steel frame and Signal processing.
Her Control theory study combines topics in areas such as Vibration, Structural system and Pedestrian.
Her Benchmark research includes themes of Control and Computer engineering.
Her Artificial intelligence research integrates issues from Machine learning and Computer vision.
Between 2018 and 2021, her most popular works were:
- Benchmark control problem for real-time hybrid simulation (21 citations)
- Automated region-of-interest localization and classification for vision-based visual assessment of civil infrastructure: (17 citations)
- Automated building image extraction from 360° panoramas for postdisaster evaluation (13 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Structural engineering
- Mechanical engineering
Her main research concerns Nonlinear system, Information retrieval, Convolutional neural network, Control engineering and Field.
Shirley J. Dyke interconnects Stability, Mechanics and Domain in the investigation of issues within Nonlinear system.
Her study on Thesaurus is often connected to Global Positioning System, Set and Process as part of broader study in Information retrieval.
Her Convolutional neural network study combines topics in areas such as Probabilistic logic and Data science.
Shirley J. Dyke performs multidisciplinary study on Control engineering and Code in her works.
Shirley J. Dyke has researched Nonlinear control in several fields, including Robust control system, Adaptive control and Search engine.
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