Due to the proliferation of GPS-enabled devices in vehicles or with people, large amounts position data are recorded every day and management such mobility data, also called trajectories, is a very active research field. A lot effort has gone into discovering “semantics” from raw geometric trajectories by relating them spatial environment finding patterns, for example, mining techniques. question how resulting “meaningful” can be represented further queried. In this article, we propose...

Similarity search is the problem of finding in a collection objects those that are similar to given query object. It fundamental modern applications and considered may be as diverse locations space, text documents, images, X (formerly known Twitter) messages, or trajectories moving objects. In this article, we motivated by latter application. Trajectories recorded movements mobile such vehicles, animals, public transportation, parts human body. We propose novel distance function called...

Recent years have witnessed an increase in the parameter size of frontier AI models by multiple orders magnitude. This trend is driven empirical observations, known as scaling laws, which show that model performance scales with size, dataset and computational power. Motivated this, researchers are training ever-larger pursuit unlocking new capabilities. However, growing complexity these makes understanding their inner workings increasingly challenging. Interpretability crucial not only...

Sarcomatoid Carcinoma (SC) is an unusual and aggressive variant of squamous cell carcinoma, which frequently recurs metastasizes; for this reason, the right diagnosis very important. It considered to be a biphasic tumor made up cells from spindle carcinoma with sarcomatous aspect, but epithelial origin. The often represents clinical-pathological challenge where study immunohistochemical technique (IHC) key histopathological diagnosis. reported cases related oral mucosa are limited. In work...

Recording mobility data with GPS-enabled devices, e.g., smart phones or vehicles, has become a common issue for private persons, companies, and institutions. Consequently, the requirements managing these enormous datasets have increased drastically, so trajectory management an active research field. In order to avoid querying raw trajectories, which is neither convenient nor efficient, symbolic representation of geometric been introduced.

Symbolic trajectories is a novel data model recently proposed for the modeling and querying of temporally annotated sequences symbolic descriptions, representing e.g. transportation means, places interest, so forth. Unlike geometric trajectories, capture thematic dimension movement. In this demonstration, we illustrate practical approach to hybrid combining in multidimensional trajectory. The system runs on Secondo moving object database. multi-dimensional are obtained from GeoLife dataset.

Describing the location history of moving objects exclusively in geometric terms is no longer sufficient, whereas more expressive data models capturing complexity and heterogeneity movement are needed. Following this trend, model symbolic trajectories has been recently proposed for representation content-rich databases. The provides a simple notation powerful fully operational pattern-based query language trajectory matching rewriting. In paper, we overview key features sketch two...

Lately, the amount of mobility data recorded by GPS-enabled (and other) devices has increased drastically, entailing necessity efficient processing and analysis methods. In many cases, not only geographic position, but also additional information according to purpose evaluation are traced and/or generated. this paper, we present an application a framework for analyzing datasets with several time-dependent attributes. This can be considered as major extension our previous work, comprehensive...

Similarity search is the problem of finding in a collection objects those that are similar to given query object. It fundamental modern applications and considered may be as diverse locations space, text documents, images, twitter messages, or trajectories moving objects. In this paper we motivated by latter application. Trajectories recorded movements mobile such vehicles, animals, public transportation, parts human body. We propose novel distance function called DistanceAvg capture...

The recent proliferation of positioning devices has boosted the requirement for efficient methods processing and analyzing large amounts recorded movement data. Besides geographic position, many application domains there is more relevant time-dependent information such as speed, elevation, street names, or transportation modes, depending on kind moving object evaluation purpose. In this paper, we present an a new framework that efficiently analyzes datasets with several attributes different...

Concrete pillars, used as a structural support on the electrolysis process at zinc factories, are exposed to corrosive environmental conditions, due sulfuric acid presence. In order prevent irreversible damage involved structures, maintenance becomes of vital importance, while reducing costs is main factor be considered. Neural network model recently developed alternative determine where and how concrete columns taking place. This neural was fed by four-year registries data. Prediction...

Concrete pillars, used as a structural support on the electrolysis process at zinc factories, are exposed to corrosive environmental conditions, due sulfuric acid presence. In order prevent irreversible damage involved structures, maintenance becomes of vital importance, while reducing costs is main factor be considered. Neural network model recently developed alternative determine where and how concrete columns taking place. This neural was fed by four-year registries data. Prediction...

The electricity wholesale market is one of the most complex economic institutions. Prices on this fast-moving depend volatile factors such as weather conditions or abrupt changes in demand. Furthermore, level physical integration – and thus interdependence - between countries Europe increasing. As such, demands accurate price forecasting models to provide vital competitive advantages actors market. This paper aims develop evaluate performance different deep neural network for purpose...

We propose to conduct a tutorial on importing, distributing, indexing, querying, and updating large real-world trajectory dataset in the DBMS Secondo. Participants having installed system extracted will be able follow actively.

In the second decade of this century, technical progress has led to a worldwide proliferation devices for tracking movement behavior person, vehicle, or another kind entity. One consequences development is massive and still growing amount movement-related data recorded by cellphones, automobiles, vessels, aircraft, further GPS-enabled entities. As result, requirements managing analyzing records also increase, serving commercial, administrative, private purposes. Since hardware components...