Search results for "FOREST"

showing 10 items of 3780 documents

Landscapes and traces of human activities preserved under forest : the forest of Val Suzon (Côte-d'Or) on long time

2021

This thesis is part of a process to improve and deepen our knowledge of the territory of Val Suzon (21), especially concerning its history. It is a matter of studying the evolution of the natural and social dynamics that shaped the forest of Val Suzon, thanks to a multidisciplinary approach focusing on biodiversity, landscape, history, archeology, etc. The subject of this thesis concerns, among other things, issues relating to natural resources available in the territory of Val Suzon as well as the management and exploitation of these resources by human communities. It also focuses on identifying the impacts of these activities on flora and fauna, examining their adaptation over time and sp…

ArchaeologyArchéologie[SHS.HIST] Humanities and Social Sciences/HistoryForêtForestEnvironmentEnvironnement
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Machine learning for rapid mapping of archaeological structures made of dry stones – Example of burial monuments from the Khirgisuur culture, Mongoli…

2020

11 pages; International audience; The present study proposes a workflow to extract from orthomosaics the enormous amount of dry stones used by past societies to construct funeral complexes in the Mongolian steppes. Several different machine learning algorithms for binary pixel classification (i.e. stone vs non-stone) were evaluated. Input features were extracted from high-resolution orthomosaics and digital elevation models (both derived from aerial imaging). Comparative analysis used two colour spaces (RGB and HSV), texture features (contrast, homogeneity and entropy raster maps), and the topographic position index, combined with nine supervised learning algorithms (nearest centroid, naive…

Archeology010504 meteorology & atmospheric sciences[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryComputer scienceMaterials Science (miscellaneous)Topographic position index[SDV]Life Sciences [q-bio]ConservationMachine learningcomputer.software_genre01 natural sciences[SHS]Humanities and Social SciencesNaive Bayes classifierVector graphicsPixel classification[SCCO]Cognitive sciencePixel classification Grey level co-occurrence matrix RGB colour space Texture Topographic position index Photogrammetry Burial complex planigraphy Mongolia Bronze age Iron age0601 history and archaeologyTextureSpectroscopyRGB colour space0105 earth and related environmental sciencesBronze age060102 archaeologyArtificial neural networkbusiness.industryIron ageCentroidGrey level co-occurrence matrix06 humanities and the artscomputer.file_formatMongoliaArchaeologyRandom forestSupport vector machinePhotogrammetryChemistry (miscellaneous)Photogrammetry[SDE]Environmental SciencesBurial complex planigraphyArtificial intelligenceRaster graphicsbusinessGeneral Economics Econometrics and Financecomputer
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1200 years of decadal-scale variability of Mediterranean vegetation and climate at Pantelleria Island, Italy.

2013

A new sedimentary sequence from Lago di Venere on Pantelleria Island, located in the Strait of Sicily between Tunisia and Sicily was recovered. The lake is located in the coastal infra-Mediterranean vegetation belt at 2 m a.s.l. Pollen, charcoal and sedimentological analyses are used to explore linkages among vegetation, fire and climate at a decadal scale over the past 1200 years. A dry period from ad 800 to 1000 that corresponds to the 'Medieval Warm Period' (WMP) is inferred from sedimentological analysis. The high content of carbonate recorded in this period suggests a dry phase, when the ratio of evaporation/precipitation was high. During this period the island was dominated by thermop…

ArcheologyInstitut für Erd- und UmweltwissenschaftenSettore AGR/05 - Assestamento Forestale E Selvicoltura'Little Ice Age' (LIA)'Medieval Warm Period' (MWP)Climate changePinus pinasterQuercus pubescenschemistry.chemical_compoundcentral Mediterraneancentral Mediterranean fire history ‘Little Ice Age’ (LIA) ‘Medieval Warm Period’ (MWP) Pinus pinaster Quercus ilex Quercus pubescens vegetation historyddc:550Precipitationvegetation historyEarth-Surface ProcessesGlobal and Planetary ChangeEcologybiologyEcologyPaleontologySedimentPlant communityVegetationbiology.organism_classificationQuercus ilexfire historychemistryQuercus pubescensPeriod (geology)CarbonateInstitut für GeowissenschaftenPhysical geographyGeology
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Exotic insect pests: The impact of the Red Palm Weevil on natural and cultural heritage in Palermo (Italy)

2013

Abstract The impact of invasive exotic pests is increasingly recognised as a global issue. A global strategy to address the exotic pest problem is beginning to evolve, albeit slowly. The International Plant Protection Convention (FAO) has begun the process of harmonizing standards for pest risk analysis to minimise the spread of exotic pests without adversely impacting global trade. However if the impacts of insect invasive species on human health and on agriculture have attracted worldwide attention, researchers and policymakers address directly the connection between invasive species and damage to natural and cultural heritages. The cost of these losses is generally neglected or underesti…

ArcheologybiologyEcologybusiness.industryAgroforestryMaterials Science (miscellaneous)BiodiversityGlobal strategyConservationbiology.organism_classificationInvasive speciesInternational Plant Protection ConventionCultural heritageRhynchophorusSettore AGR/11 - Entomologia Generale E ApplicataRhynchophorus ferrugineus Phoenix canariensis Chameropsis humilis Protected areas BiodiversityGlobal issueChemistry (miscellaneous)AgricultureSettore BIO/03 - Botanica Ambientale E ApplicatabusinessGeneral Economics Econometrics and FinanceSpectroscopyJournal of Cultural Heritage
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Erratum to “Exotic insect pests: The impact of the Red Palm Weevil on natural and cultural heritage in Palermo (Italy)” [J. Cult. Herit. 14 (3S) (201…

2014

The correct caption for Figure 4 is: Palm groves with Phoenix canariensis palm trees: (a) Cittadella Universitaria (photo already published n S. Colazza, G. Filardo, A. Motisi, G. Barbera 2009. Il campo sperimentale del “giardinetto delle palme” dell’Ateneo palermitano di viale elle Scienze. In La ricerca scientifica sul punteruolo rosso e gli altri fitofagi delle palme in sicilia. (pp. 21–24). Marsala TP: Regione Siciliana ssessorato Agricoltura e Foreste and (b) Palm promenade in Foro Italico; only one palm is present.

ArcheologybiologyMaterials Science (miscellaneous)Weevilmedia_common.quotation_subjectForestryConservationbiology.organism_classificationArchaeologyNatural (archaeology)Cultural heritageGeographyChemistry (miscellaneous)PalmGeneral Economics Econometrics and FinanceSpectroscopyCultmedia_commonJournal of Cultural Heritage
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I sistemi di aree protette in Italia e il loro contributo alla conservazione forestale

2005

Aree Protette, Italia, conservazione forestale

Aree Protette Italia conservazione forestale
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Exploiting deep learning algorithms and satellite image time series for deforestation prediction

2022

In recent years, we have witnessed the emergence of Deep Learning (DL) methods, which have led to enormous progress in various fields such as automotive driving, computer vision, medicine, finances, and remote sensing data analysis. The success of these machine learning methods is due to the ever-increasing availability of large amounts of information and the computational power of computers. In the field of remote sensing, we now have considerable volumes of satellite images thanks to the large number of Earth Observation (EO) satellites orbiting the planet. With the revisit time of satellites over an area becoming shorter and shorter, it will probably soon be possible to obtain daily imag…

Artificial intelligenceDeforestation predictionRéseaux de neurones récurrentsApprentissage profondRecurrent neural networks[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage time seriesDeep learningSatellite imagesSéries temporelles d'imagesIntelligence artificiellePrédiction déforestationImages satellitaires
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Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine

2020

The rapid deployment in information and communication technologies and internet-based services have made anomaly based network intrusion detection ever so important for safeguarding systems from novel attack vectors. To this date, various machine learning mechanisms have been considered to build intrusion detection systems. However, achieving an acceptable level of classification accuracy while preserving the interpretability of the classification has always been a challenge. In this paper, we propose an efficient anomaly based intrusion detection mechanism based on the Tsetlin Machine (TM). We have evaluated the proposed mechanism over the Knowledge Discovery and Data Mining 1999 (KDD’99) …

Artificial neural networkbusiness.industryComputer science0206 medical engineeringDecision tree02 engineering and technologyIntrusion detection systemMachine learningcomputer.software_genreRandom forestSupport vector machineStatistical classificationKnowledge extraction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer020602 bioinformaticsInterpretability2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Testing the shape-similarity hypothesis between partide-size distribution and water retention for sicilian soils

2012

Application of the Arya and Paris (AP) model to estimate the soil water retention curve requires a detailed description of the particlesize distribution (PSD) but limited experimental PSD data are generally determined by the conventional sieve-hydrometer (SH) method. Detailed PSDs can be obtained by fitting a continuous model to SH data or performing measurements by the laser diffraction (LD) method. The AP model was applied to 40 Sicilian soils for which the PSD was measured by both the SH and LD methods. The scale factor was set equal to 1.38 (procedure AP1) or estimated by a logistical model with parameters gathered from literature (procedure AP2). For both SH and LD data, procedure AP2 …

Arya and Paris modelSoil water retention curveLaser diffraction methodSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliParticle size distribution
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Predicting hospital associated disability from imbalanced data using supervised learning.

2019

Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to show the potential of artificial intelligence in the form of machine learning to complement the existing medical research. This is accomplished by studying the outcome of hospitalization of elderly patients as a supervised learning task. A rich set of features characterizing the medical and social situation of elderly patients is leveraged and using confusion matrices, association rule mining, and two different classes of supervised learning algo…

Association rule learningmedicine.medical_treatmentvanhuksetMedicine (miscellaneous)sairaalahoitoOutcome (game theory)Task (project management)03 medical and health sciences0302 clinical medicineArtificial IntelligenceMedicineHumanstoimintarajoitteetDisabled PersonsSet (psychology)Adverse effectFinlandta316030304 developmental biologyAgedta1130303 health sciencesRehabilitationbusiness.industrySupervised learningennusteetta3142medicine.diseaseMedical researchHospitalizationmachine learningkoneoppiminenhospital associated disabilityMedical emergencySupervised Machine Learningtiedonlouhintabusiness030217 neurology & neurosurgeryrandom forestArtificial intelligence in medicine
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