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We utilize artificial intelligence and novel scientific methodologies to automatically identify unique mutations, and help shorten the diagnosis odyssey.
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: This paper presents a methodology to automatically detect specific medical events occurring on patients from ICU high frequency physiological variables.
In this paper, a signal processing methodology to automatically identify the highly damage events for axle housings is described.
As such, "the increase in both the volume and the variety of data requires advances in methodology to automatically understand, process, and summarize the data" (Jain 2010).
This paper proposes a novel methodology to automatically generate a descriptive model, in the form of behavioral rules, from video data of human crowds.
This article presents MEMOInt, a methodology to automatically extract the intonation patterns which characterize a given corpus, with applications in text-to-speech systems.
Pattern classification in functional MRI (fMRI) is a novel methodology to automatically identify differences in distributed neural substrates resulting from cognitive tasks.
Based on the obtained findings, in Section 5.6 we present our methodology to automatically infer a crowd density estimation from the collected position data and evaluate it against ground truth information obtained from video footage.
Our interests in this paper are to propose a methodology to automatically generate context-aware action lists for users and effectively control resource allocation based on the state of the workflow systems.
This work presents a communication-driven virtual prototyping approach integrated in an existing ESL design methodology to automatically synthesize, evaluate, and optimize a data-flow application for mixed hardware/software and even networked MPSoCs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com