Search results for "Google"

showing 10 items of 101 documents

Motores de búsqueda y derechos de autor: infracción y responsabilidad

2015

Los motores de búsqueda se configuran como herramientas indispensables para localizar fácilmente cualquier tipo de información entre las más de tres billones de páginas web existentes en la red. Estos buscadores se presentan, de facto, como instrumentos básicos para que todo usuario pueda tener acceso a la información, cultura y educación, de manera que están convirtiéndose en unas herramientas indispensables para el libre desarrollo de las personas. Sin embargo, a pesar de estas ventajas, en ocasiones, los buscadores vuelcan contenidos protegidos en la página de resultados sin autorización de su titular, de forma que de no mediar algún límite o excepción tasado en la ley, pueden estar vuln…

DMCAcopyrightthumbnails:CIENCIAS JURÍDICAS Y DERECHO [UNESCO]googleresponsabilidadbuscadorsafe harbourUNESCO::CIENCIAS JURÍDICAS Y DERECHOsnippetsinfraccióncachetakedownderecho de autorpuerto segurofair use doctrine
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Industriālo lietiskā interneta servisu teorētiskais un praktiskais salīdzinājums

2018

Lietiskais internets strauji attīstās ceturtās industriālās revolūcijas dēļ. Pieaugot savienoto ierīču skaitam ražošanā, lietiskais internets ir viens no servisiem teju katrā mākoņu platformā. Šobrīd neeksistē universāls kritēriju kopums, lai noteiktu lietiskā interneta servisu atbilstību industriāliem pielietojumiem un veiktu to objektīvu salīdzinājumu. Darbā analizēti četri lietiskā interneta servisi – SAP Leonardo, IBM Watson, Google, AWS – lai noteiktu piemērotāko no tiem industriāliem pielietojumiem. Sākotnēji noteikti septiņi kritēriji, kuri analizēti, tādejādi ievadot darba pētniecisko daļu, kurā testēta lietiskā interneta sistēmu veiktspēja un ātrdarbība. Rezultātā iegūta metode kur…

DatorzinātneIndustrija 4.0SAPGoogleLietiskais internetsIBM
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“Google Web Vitals” pielietojums un izpēte

2022

2020. gada novembrī uzņēmums “Google” paziņoja, ka pievienos papildus faktoru savam tīmekļu lapas meklētāj servisa lapu ranžēšanās algoritmam – (GCWV) Google Core Web Vitals testa rezultātus. Testa būtība ir veikt novērojumus par jebkuras tīmekļa lapas veiktspēju un idejiski meklētāj servisā kārtot lapas augstāk ar labāku veiktspēju. Darbā tiek apskatītas Google Core Web Vitals testa metrikas un citas populāras tīmekļa veiktspējas metrikas, to ietekmējošie faktori un biežāk veiktie optimizācijas darbi. Praktiskajā daļā tika veikti optimizācijas darbi autora veidotai tīmekļa lapai. Rezultātā tika gūts metriku rezultātu uzlabojums par 60%. Darbu noslēdz rezultātu un secinājumu nodaļas.

DatorzinātneTīmekļa veiktspējas metrikasGoogle Core Web VitalsTīmekļa veiktspējaTīmekļa veiktspējas analīzeWeb Performance Analysis
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Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform

2021

Vegetation Types (VTs) are important managerial units, and their identification serves as essential tools for the conservation of land covers. Despite a long history of Earth observation applications to assess and monitor land covers, the quantitative detection of sparse VTs remains problematic, especially in arid and semiarid areas. This research aimed to identify appropriate multi-temporal datasets to improve the accuracy of VTs classification in a heterogeneous landscape in Central Zagros, Iran. To do so, first the Normalized Difference Vegetation Index (NDVI) temporal profile of each VT was identified in the study area for the period of 2018, 2019, and 2020. This data revealed strong se…

Earth observation010504 meteorology & atmospheric sciencesComputer scienceNDVIScienceQvegetation types classification04 agricultural and veterinary sciences15. Life on landTime optimal01 natural sciencesNormalized Difference Vegetation IndexRandom forestIdentification (information)Vegetation typesmachine learning040103 agronomy & agriculturevegetation types classification; multi-temporal images; machine learning; Google Earth Engine; NDVI0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesGoogle Earth EngineCartographymulti-temporal images0105 earth and related environmental sciencesRemote Sensing
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Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

2021

For the last decade, Gaussian process regression (GPR) proved to be a competitive machine learning regression algorithm for Earth observation applications, with attractive unique properties such as band relevance ranking and uncertainty estimates. More recently, GPR also proved to be a proficient time series processor to fill up gaps in optical imagery, typically due to cloud cover. This makes GPR perfectly suited for large-scale spatiotemporal processing of satellite imageries into cloud-free products of biophysical variables. With the advent of the Google Earth Engine (GEE) cloud platform, new opportunities emerged to process local-to-planetary scale satellite data using advanced machine …

Earth observationGoogle Earth Engine (GEE); Gaussian process regression (GPR); machine learning; Sentinel-2; gap filling; leaf area index (LAI)010504 meteorology & atmospheric sciencesComputer scienceScienceleaf area index (LAI)0211 other engineering and technologiesCloud computing02 engineering and technologycomputer.software_genre01 natural sciencesKrigingGaussian process regression (GPR)021101 geological & geomatics engineering0105 earth and related environmental sciencesPixelbusiness.industryQGoogle Earth Engine (GEE)machine learningKernel (image processing)Ground-penetrating radarGeneral Earth and Planetary SciencesData miningSentinel-2Scale (map)businesscomputergap fillingLevel of detailRemote Sensing; Volume 13; Issue 3; Pages: 403
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Geodiversity and geoheritage: Detecting scientific and geographic biases and gaps through a bibliometric study

2019

Abstract Many scientists have recognized that there is diversity in nature, including biodiversity, geodiversity, and pedodiversity. Studies in biodiversity date back as far as the 1700s, but geodiversity and pedodiversity studies are much more recent, dating to the late 1970s to early 1980s. Given that we are now approaching 40 years of geodiversity and geoheritage work, this study was undertaken to determine areas that have been well addressed and where current gaps are. This was accomplished by reviewing the publications in the journal “Geoheritage”, the Scopus and Google Scholar databases, and established geoparks according to UNESCO records. It was found that geodiversity studies typic…

Environmental Engineering010504 meteorology & atmospheric sciencesmedia_common.quotation_subjectBiodiversity010501 environmental sciences01 natural sciencesPedodiversityEnvironmental ChemistryGeoheritageScopusEast AsiaGoogle ScholarWaste Management and DisposalEnvironmental planning0105 earth and related environmental sciencesmedia_commonGeodiversityBiodiversityPollutionGeographic distributionGeographyGeodiversityGeoheritageSpatial ecologyGeoparksPedodiversityDiversity (politics)Geografia
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Growing stock volume from multi-temporal landsat imagery through google earth engine

2019

Growing stock volume (GSV) is one of the most important variables for.forest management and is traditionally- estimated from ground measurements. These measurements are expensive and therefore sparse and hard to maintain in time on a regular basis. Remote sensing data combined with national forest inventories constitute a helpful tool to estimate and map forest attributes. However, most studies on GSV estimation from remote sensing data focus on small forest areas with a single or only a few species. The current study aims to map GSV in peninsular Spain, a rather large and very heterogeneous area. Around 50 000 wooded land plots from the Third Spanish National Forest Inventory (NFI3) were u…

Global and Planetary ChangeMean squared errorGrowing stock volumeForest managementManagement Monitoring Policy and LawReflectivityRandom forestSpainMulticollinearityEnvironmental scienceShort wave infraredComputers in Earth SciencesGuided regularized random forestsGoogle Earth EngineLandsatImage resolutionStock (geology)Earth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
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Cloud-based interactive susceptibility modeling of gully erosion in Google Earth Engine

2022

The gully erosion susceptibility literature is largely dominated by contributions focused on model comparison. This has led to prioritize certain aspects and leave others underdeveloped as compared to other natural hazard applications. For instance, in gully erosion data-driven modeling most studies use different platforms when it comes to data management, modeling and conversion into predictive maps. This in turn has limited the scope to catchment-scales. In this manuscript, we opt to propose a tool where the whole modeling procedure is unified within the same cloud computing system, allowing one to get rid of potential errors caused by input/output operations but also to extend the study …

Global and Planetary ChangeUT-Gold-DSusceptibility modelingITC-ISI-JOURNAL-ARTICLEOpen sourcingCloud computingManagement Monitoring Policy and LawComputers in Earth SciencesITC-GOLDGoogle Earth EngineEarth-Surface Processes
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Google reklāmu automātiskā integrācijas platforma

2022

Ikvienam ir iespēja pašam veidot reklāmas, kas parādās Google meklētājā, izmantojot platformu Google Ads (agrāk Google AdWords). Taču šī platforma ir diezgan sarežģīta, tajā jāveic daudz tādu soļu, kas ikdienišķam lietotājam nav nepieciešamas, kā arī jāpievieno savas maksājumu detaļas un jāmaksā regulāri rēķini. Kvalifikācijas darbs ir izstrādāts kā pārvaldāma interneta platforma, kuras mērķis ir nest peļņu tās pārvaldītājam. Platforma piedāvā tās klientiem ātrā un vienkāršā veidā izveidot reklāmas, kas tiks izvietotas Google meklētāja rezultātu sadaļā. Galvenais iemesls platformas lietošanai klientiem ir viegli saprotams un intuitīvs dizains, kā arī iespēja izveidot reklāmas un uzticēt to …

Google AdWordsreklāmas GoogleDatorzinātneGoogle Adsreklāmas internetāreklāmas meklētājā
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Il GIS come strumento di fruizione territoriale e valorizzazione turistica

2013

The goal of this work has been to achieve a Geographic Information System, using innovative cartographic representation of the land and landscape, which can provide to the end users an easier and immediate access regarding tourist, cultural and environmental information. This is an ongoing research, carried out in collaboration with the Department of Civil, Engineering, Environmental, Aerospace, Materials (DICAM) of University of Palermo, with the objective to 548 Atti 17a Conferenza Nazionale ASITA - Riva del Garda 5-7 novembre 2013 achieve a complete integration between software used only by qualified specialists in the field and online platforms display. To experience this work, has been…

Google EarthGIS
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