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Yannis Theodoridis

Researcher at University of Piraeus

Publications -  236
Citations -  10009

Yannis Theodoridis is an academic researcher from University of Piraeus. The author has contributed to research in topics: Spatial database & Spatial query. The author has an hindex of 47, co-authored 223 publications receiving 9426 citations. Previous affiliations of Yannis Theodoridis include National and Kapodistrian University of Athens & Research Academic Computer Technology Institute.

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Grid File (and Family).

TL;DR: In this article, a multidimensional handle controlled without displacement is used for precisely positioned control and input; the actuating rod is selectively and simultaneously subjected to lateral pressure and to bending by a surrounding fist.
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Sustainable Ecotourism through Cutting-Edge Technologies

TL;DR: In this paper , the authors present the vision, work, and outcomes of project AdVENt, a project focusing natively in sustainable ecotourism through natural science and technological innovation.

R-Tree (and Family).

TL;DR: A method and system are set forth of providing for asuper jackpot to be awarded should a qualifying super jackpot combination be obtained by any player playing gaming machines supplied by a supplier to a host facility.
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Optimal Time-dependent Sequenced Route Queries in Road Networks

TL;DR: In this paper, the authors present an algorithm for optimal processing of time-dependent sequenced route queries in road networks, i.e., given a road network where the travel time over an edge is timedependent and a given ordered list of categories of interest, they find the fastest route between an origin and destination that passes through a sequence of points of interest belonging to each of the specified categories.
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The Piraeus AIS dataset for large-scale maritime data analytics

TL;DR: In this article , the authors present a dataset that contains vessel position information transmitted by vessels of different types and collected via the Automatic Identification System (AIS), along with spatially and temporally correlated data about the vessels and the area of interest, including weather information.