What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Internal medicine
Branko G. Celler mainly focuses on Artificial intelligence, Simulation, Telemedicine, Pattern recognition and Remote patient monitoring.
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Gait.
Branko G. Celler interconnects Machine learning, Classifier, Functional ability and Treadmill exercise in the investigation of issues within Simulation.
His Functional ability study incorporates themes from Gait analysis, Wearable computer and Computer vision.
His work on Telecare as part of general Telemedicine research is often related to Multidisciplinary approach, thus linking different fields of science.
His Pattern recognition research is multidisciplinary, relying on both Speech recognition and Triaxial accelerometer.
His most cited work include:
- Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (1111 citations)
- Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement. (684 citations)
- Classification of basic daily movements using a triaxial accelerometer. (420 citations)
What are the main themes of his work throughout his whole career to date?
Branko G. Celler spends much of his time researching Control theory, Artificial intelligence, Simulation, Heart rate and Pattern recognition.
His studies deal with areas such as Control engineering, Control and Treadmill as well as Control theory.
His work carried out in the field of Artificial intelligence brings together such families of science as Gait analysis and Computer vision.
His work investigates the relationship between Heart rate and topics such as Cardiology that intersect with problems in Vagal stimulation.
Branko G. Celler has researched Pattern recognition in several fields, including Time domain and Speech recognition.
The study incorporates disciplines such as Control system and Actuator in addition to Control theory.
He most often published in these fields:
- Control theory (22.22%)
- Artificial intelligence (15.28%)
- Simulation (11.81%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (22.22%)
- Control theory (9.03%)
- Blood pressure (6.60%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Control theory, Blood pressure, Vital signs and Artificial intelligence.
His Control theory research is multidisciplinary, incorporating elements of Control engineering and Control.
His Control theory research incorporates elements of Control system, Parametric statistics, Identification, Mathematical optimization and Actuator.
His Control system study combines topics in areas such as PID controller, Exercise intensity, Simulation and Tracking error.
His Vital signs research integrates issues from Clinical trial, Asthma, Emergency medicine and Telehealth.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Time domain, Energy and Pattern recognition.
Between 2016 and 2021, his most popular works were:
- Neural Adaptive Backstepping Control of a Robotic Manipulator With Prescribed Performance Constraint (21 citations)
- State-Constrained Control of Single-Rod Electrohydraulic Actuator With Parametric Uncertainty and Load Disturbance (17 citations)
- Impact of At-Home Telemonitoring on Health Services Expenditure and Hospital Admissions in Patients With Chronic Conditions: Before and After Control Intervention Analysis (16 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Internal medicine
His primary areas of study are Control theory, Control theory, Actuator, Blood pressure and Fault tolerance.
His work on Linearization as part of general Control theory research is frequently linked to Operating environment, bridging the gap between disciplines.
His Control theory study which covers Control system that intersects with PID controller, Simulation, Tracking error, Exercise intensity and Statistical hypothesis testing.
Branko G. Celler has included themes like Control engineering, Linear matrix inequality, Mathematical optimization and Backstepping in his Actuator study.
His Blood pressure research is multidisciplinary, incorporating perspectives in Mean squared error, Time domain and Artificial intelligence.
The various areas that Branko G. Celler examines in his Artificial intelligence study include High fidelity, Energy, Computer vision and Signal processing.
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