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Our approach leverages a Convolutional Neural Network (CNN) as a trainable engineering symbol recognizer.
Our approach leverages the same documentation to automatically derive the specification rules and continuously monitor network traffic.
Our approach leverages models derived from data to check plausibility and valid operation of a cyber-physical system.
Our approach leverages bundle-based pricing and promotional deals frequently offered by online merchants to extract substantial savings.
Our approach leverages a concept known as control improvisation, which is based on a combination of data-driven learning and controller synthesis from formal specifications.
Our approach leverages divide-and-conquer and find-integrate techniques that support service-based development as an alternative to developing code from scratch.
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This work presents SACRE (Smart Adaptation through Contextual REquirements), our approach leveraging an adaptation feedback loop to detect self-adaptive systems' contextual requirements affected by uncertainty and to integrate machine learning techniques to determine the best operationalization of context based on sensed data at runtime.
Our approach leveraged the mammalian phenotype ontology that has been developed as part of the mouse genome database [ 40].
Our proposed approach leverages localized run-time in-place Look Up Table (LUT) reconfigurations to avoid the time-consuming bitstream generation process for every ASIC fault.
To find the position along the flat fibrillar surface of greatest binding energy for each candidate compound, our screening approach leverages the rotamer repacking algorithm (Leaver-Fay et al., 2011) and Rosetta energy function (Kuhlman and Baker, 2000) to account for flexibility of protein side chains and ligand, which is critical in modeling of such shallow grooves on the fiber surface.
However, in contrast with some of these other projects, our grassroots approach leveraged a wealth of existing expertise by providing opportunities for individual faculty members to develop, implement, modify, evaluate, and share undergraduate teaching modules that stem from their own research and/or teaching interests.
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