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Vincent Oria

Researcher at New Jersey Institute of Technology

Publications -  100
Citations -  2301

Vincent Oria is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Query optimization & Image retrieval. The author has an hindex of 17, co-authored 98 publications receiving 2092 citations. Previous affiliations of Vincent Oria include University of Alberta.

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Flexible integration of multimedia sub-queries with qualitative preferences

TL;DR: The potentialities of a more general approach, based on the use of qualitative preferences, able to define arbitrary partial orders on database objects, are explored, so that a larger flexibility is gained in shaping what the user is looking for.
Proceedings ArticleDOI

PARINET: A tunable access method for in-network trajectories

TL;DR: PARINET is a new access method to efficiently retrieve the trajectories of objects moving in networks based on a combination of graph partitioning and a set of composite B+-tree local indexes that significantly outperforms both MON-tree and another R-tree based access method which are the reference indexing techniques for in-network trajectory databases.
Journal ArticleDOI

An Interactive Multi-instrument Database of Solar Flares

TL;DR: The Interactive Multi-Instrument Database of Solar Flares (IMIDSF, https://solarflare.njit.edu/) is a web-accessible database that allows the user to search for uniquely identified solar flare events based on their physical descriptors and the availability of observations by a particular set of instruments as mentioned in this paper.
Proceedings Article

Modeling Video Data for Content Based Queries: Extending the DISIMA Image Data Model

TL;DR: An efficient video data model is presented that extends the DISIMA image data model by adding the video components and setting up links between image and video data, and MOQL is used as a query language.
Journal ArticleDOI

Review of Solar Energetic Particle Models

K. Whitman, +125 more
TL;DR: In this article , the authors summarize all of the SEP models currently developed in the scientific community, including a description of model approach, inputs and outputs, free parameters, and any published validations or comparisons with data.