What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Control theory
Kenneth A. Loparo spends much of his time researching Control theory, Vibration, Electroencephalography, Artificial intelligence and Linear system.
His work on Control system as part of general Control theory study is frequently linked to Cardinality, bridging the gap between disciplines.
His research integrates issues of Ball, Induction motor, Signal and Fault detection and isolation in his study of Vibration.
Kenneth A. Loparo interconnects Speech recognition, Arousal and Epilepsy in the investigation of issues within Electroencephalography.
His Artificial intelligence course of study focuses on Pattern recognition and Bearing and Noise.
His Linear system research is multidisciplinary, incorporating perspectives in Optimal control, Stability, Discrete system, Markov chain and Applied mathematics.
His most cited work include:
- Stochastic stability properties of jump linear systems (642 citations)
- Bearing fault diagnosis based on wavelet transform and fuzzy inference (461 citations)
- Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling : A method for bearing prognostics (225 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Artificial intelligence, Control engineering, Electroencephalography and Electric power system.
Kenneth A. Loparo regularly ties together related areas like Induction motor in his Control theory studies.
His research in Artificial intelligence intersects with topics in Computer vision and Pattern recognition.
Kenneth A. Loparo has researched Control engineering in several fields, including Control and Distributed computing.
His Electroencephalography study integrates concerns from other disciplines, such as Sleep in non-human animals, Polysomnography and Epilepsy.
His Linear system research integrates issues from Optimal control and Applied mathematics.
He most often published in these fields:
- Control theory (22.46%)
- Artificial intelligence (10.17%)
- Control engineering (9.93%)
What were the highlights of his more recent work (between 2016-2021)?
- Internal medicine (6.15%)
- Neuroscience (6.15%)
- Cardiology (4.96%)
In recent papers he was focusing on the following fields of study:
Internal medicine, Neuroscience, Cardiology, Artificial intelligence and Electric power system are his primary areas of study.
His Neuroscience study combines topics from a wide range of disciplines, such as Beta, Deep brain stimulation, Subthalamic nucleus and Oscillation.
He combines subjects such as Heart rate variability, Heart rate and Epilepsy with his study of Cardiology.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Pattern recognition and Natural language processing.
The concepts of his Pattern recognition study are interwoven with issues in Electroencephalography, Non-rapid eye movement sleep, Artifact and Pipeline.
In his work, Wind power and Marine engineering is strongly intertwined with Stability, which is a subfield of Electric power system.
Between 2016 and 2021, his most popular works were:
- Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons (56 citations)
- Voltage and Frequency Regulation of Microgrid With Battery Energy Storage Systems (40 citations)
- Cascading Failure Attacks in the Power System: A Stochastic Game Perspective (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Electrical engineering
His scientific interests lie mostly in Artificial intelligence, Epilepsy, Cardiology, Internal medicine and Information retrieval.
His Artificial intelligence study incorporates themes from Natural language processing and Pattern recognition.
His biological study spans a wide range of topics, including Representation, Frequency domain, Relevance and Electroencephalography.
His study looks at the intersection of Epilepsy and topics like Blood pressure with Brodmann area 25 and Epilepsy surgery.
The study incorporates disciplines such as Heart rate variability and Confidence interval in addition to Cardiology.
His Information retrieval research incorporates themes from Annotation and Active learning.
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