AIMC Topic: Models, Theoretical

Clear Filters Showing 1911 to 1920 of 1953 articles

Mimicking Martian dust: An in-vacuum dust deposition system for testing the ultraviolet sensors on the Curiosity rover.

The Review of scientific instruments
We have designed and developed an in-vacuum dust deposition system specifically conceived to simulate and study the effect of accumulation of Martian dust on the electronic instruments of scientific planetary exploration missions. We have used this d...

Of Models and Machines: Implementing Bounded Rationality.

Isis; an international review devoted to the history of science and its cultural influences
This essay explores the early history of Herbert Simon's principle of bounded rationality in the context of his Artificial Intelligence research in the mid 1950s. It focuses in particular on how Simon and his colleagues at the RAND Corporation transl...

Design and real-time control of a robotic system for fracture manipulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper presents the design, development and control of a new robotic system for fracture manipulation. The objective is to improve the precision, ergonomics and safety of the traditional surgical procedure to treat joint fractures. The achievemen...

Redundancy optimization strategy for hands-on robotic surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
During hands-on cooperative surgery, the use of a redundant robot allows to address encumbrance issues in the Operating Room (OR), which can occur due to the presence of large medical instrumentation, such as the surgical microscope. This work presen...

Online control of a humanoid robot through hand movement imagination using CSP and ECoG based features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Intention recognition through decoding brain activity could lead to a powerful and independent Brain-Computer-Interface (BCI) allowing for intuitive control of devices like robots. A common strategy for realizing such a system is the motor imagery (M...

EEG error potentials detection and classification using time-frequency features for robot reinforcement learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
In thought-based steering of robots, error potentials (ErrP) can appear when the action resulting from the brain-machine interface (BMI) classifier/controller does not correspond to the user's thought. Using the Steady State Visual Evoked Potentials ...

[Purity Detection Model Update of Maize Seeds Based on Active Learning].

Guang pu xue yu guang pu fen xi = Guang pu
Seed purity reflects the degree of seed varieties in typical consistent characteristics, so it is great important to improve the reliability and accuracy of seed purity detection to guarantee the quality of seeds. Hyperspectral imaging can reflect th...

Emergency Department Visit Forecasting and Dynamic Nursing Staff Allocation Using Machine Learning Techniques With Readily Available Open-Source Software.

Computers, informatics, nursing : CIN
Although emergency department visit forecasting can be of use for nurse staff planning, previous research has focused on models that lacked sufficient resolution and realistic error metrics for these predictions to be applied in practice. Using data ...

[Dynamic Detection of Fresh Jujube Based on ELM and Visible/Near Infrared Spectra].

Guang pu xue yu guang pu fen xi = Guang pu
Jujube was rich in nutrition and variety. In different varieties, there were very different from the market price to the qualities of internal and external. In order to realize the rapid and non-destructive detection of fresh jujubes' classification,...

Improving artificial neural network model predictions of daily average PM10 concentrations by applying principle component analysis and implementing seasonal models.

Journal of the Air & Waste Management Association (1995)
UNLABELLED: This study introduces a seasonal modeling approach in the prediction of daily average PM10 (particulate matter with an aerodynamic diameter<10 μm) levels 1 day ahead based on multilayer perceptron artificial neural network (MLP-ANN) forec...