A sketch grammar of Seletar by Tan, Zhi Xuan

“…The appendix contains parsed and glossed Seletar texts and word lists. Apart from presenting a linguistic analysis, the thesis also collates information from various sources to outline a history of the Orang Seletar in the region and their relocation from Singapore to Malaysia. …”
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A Robust Observation, Planning, and Control Pipeline for Autonomous Rendezvous with Tumbling Targets by Albee, Keenan, Oestreich, Charles, Specht, Caroline, Terán Espinoza, Antonio, Todd, Jessica, Hokaj, Ian, Lampariello, Roberto, Linares, Richard

“…A novel motion planning algorithm is employed, making use of offline simulation of potential Target tumble types to produce a look-up table that is parsed on-orbit using the estimation data. This nonlinear programming-based algorithm accounts for known Target geometry and important practical constraints such as field of view requirements, producing a motion plan in the Target’s rotating body frame. …”
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Linguistically-motivated sub-word modeling with applications to speech recognition by Choueiter, Ghinwa F., 1980-

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A holistic investigation of complexity sources in nuclear power plant control rooms by Sasangohar, Farzan

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Neural coding of time-varying interaural time differences and its relation to perception by Zuk, Nathaniel J

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Detection and analysis of web-based malware and vulnerability by Wang, Junjie

“…Tree-based mutation works by replacing sub-trees of the Abstract Syntax Tree (AST) of parsed test inputs. With grammar-awareness, we can effectively mutate test inputs while keeping the input structure valid, quickly carrying the fuzzing exploration into width and depth. …”
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Semi-supervised learning for visual relation annotation by Tajrobehkar, Mitra

“…We propose a semantic transformation that parses an input image into <subject-relation-object> triplet and then extracts visually grounded semantic features by re-aligning features of subject from its relative object and relation. …”
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Rational design of low-dimensional catalysts using first principles methods by Rekhi, Lavie

“…Density Functional Theory methods combined with machine learning are well-suited to establish this systematic understanding, because these methods can efficiently parse through the vast space of different carbide and nitride materials. …”
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