What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Artificial intelligence
- Mechanical engineering
His primary areas of study are Simulation, Real-time computing, Computer vision, Artificial intelligence and High integrity.
His Simulation study integrates concerns from other disciplines, such as Mower, Position, Service robot and Current.
His Current study incorporates themes from Signal and Navigation system.
His Real-time computing research integrates issues from Quality and Optical quality.
His work on Landmark and Image as part of general Computer vision study is frequently connected to Threshold limit value, Discontinuity and Obstacle, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His studies in Artificial intelligence integrate themes in fields like Point and Decomposition.
His most cited work include:
- Field navigation system (302 citations)
- Leader-follower fully-autonomous vehicle with operator on side (293 citations)
- Robot power source charging station (194 citations)
What are the main themes of his work throughout his whole career to date?
Real-time computing, Simulation, Signal, Acoustics and Control engineering are his primary areas of study.
His Real-time computing study typically links adjacent topics like Control.
His Simulation research includes elements of Boundary and Position.
In his works, Anderson Noel W performs multidisciplinary study on Acoustics and Electronic data.
While working on this project, Anderson Noel W studies both Control engineering and High integrity.
His Attenuation study combines topics from a wide range of disciplines, such as Transmitter, Electrical conductor, Radio frequency and Splitter.
He most often published in these fields:
- Real-time computing (11.74%)
- Simulation (10.33%)
- Signal (9.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Acoustics (8.45%)
- Signal (9.86%)
- Machine control (3.29%)
In recent papers he was focusing on the following fields of study:
His main research concerns Acoustics, Signal, Machine control, Real-time computing and Electronic data.
The concepts of his Acoustics study are interwoven with issues in Sprayer, Plane and Sense.
Anderson Noel W performs multidisciplinary study on Signal and Controller in his works.
His Real-time computing research incorporates themes from Field, Traverse, Position and Task.
He interconnects Control theory, Data set and Component in the investigation of issues within Position.
Many of his studies involve connections with topics such as Control and Control engineering.
Between 2017 and 2021, his most popular works were:
- Controlling ground engaging elements based on images (11 citations)
- Measurement device and method for estimating yield of a harvested crop (5 citations)
- Method for treating plants with respect to estimated root zones (4 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Artificial intelligence
- Mechanical engineering
His scientific interests lie mostly in Agricultural engineering, Real-time computing, Sensor system, Agricultural work and Crop yield.
In his papers, he integrates diverse fields, such as Agricultural engineering, Location data and Agricultural crops.
In his work, Anderson Noel W performs multidisciplinary research in Real-time computing and Field data.
His Crop yield research incorporates elements of Statistics, Calibration and Yield.
His biological study deals with issues like Yield, which deal with fields such as Signal.
Anderson Noel W integrates Signal with Property in his research.
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