AIMC Topic: Automation

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Impact of three task demand factors on simulated unmanned system intelligence, surveillance, and reconnaissance operations.

Ergonomics
The present study investigated how three task demand factors influenced performance, subjective workload and stress of novice intelligence, surveillance, and reconnaissance operators within a simulation of an unmanned ground vehicle. Manipulations we...

Almost human: Anthropomorphism increases trust resilience in cognitive agents.

Journal of experimental psychology. Applied
We interact daily with computers that appear and behave like humans. Some researchers propose that people apply the same social norms to computers as they do to humans, suggesting that social psychological knowledge can be applied to our interactions...

Knodle: A Support Vector Machines-Based Automatic Perception of Organic Molecules from 3D Coordinates.

Journal of chemical information and modeling
Here we address the problem of the assignment of atom types and bond orders in low molecular weight compounds. For this purpose, we have developed a prediction model based on nonlinear Support Vector Machines (SVM), implemented in a KNOwledge-Driven ...

Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.

PloS one
Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for VF-detection are customarily...

Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?

Accident; analysis and prevention
With Intelligent Transport Systems (e.g., traffic light assistance systems) assisted drivers are able to show driving behavior in anticipation of upcoming traffic situations. In the years to come, the penetration rate of such systems will be low. The...

Automatic entry point planning for robotic post-mortem CT-based needle placement.

Forensic science, medicine, and pathology
INTRODUCTION: Post-mortem computed tomography guided placement of co-axial introducer needles allows for the extraction of tissue and liquid samples for histological and toxicological analyses. Automation of this process can increase the accuracy and...

ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography.

Physics in medicine and biology
Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiotherapy treatment planning. PET automatic segmentation (PET-AS) eliminates intra- and interobserver variability, but there is currently no consensus on...

A robust robotic high-throughput antibody purification platform.

Journal of chromatography. A
Monoclonal antibodies (mAbs) have become the fastest growing segment in the drug market with annual sales of more than 40 billion US$ in 2013. The selection of lead candidate molecules involves the generation of large repertoires of antibodies from w...

Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic.

Artificial intelligence in medicine
BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, classifying patient data as pathological or normal with respect to one or several types of infection. An electronic monitoring and surveillance system ...

Computational Analysis of Behavior.

Annual review of neuroscience
In this review, we discuss the emerging field of computational behavioral analysis-the use of modern methods from computer science and engineering to quantitatively measure animal behavior. We discuss aspects of experiment design important to both ob...