Search results for " Detection"

showing 10 items of 1676 documents

Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora

2020

In this paper, we tackle the problem of the irony and sarcasm detection for the Italian language to contribute to the enrichment of the sentiment analysis field. We analyze and compare five deep-learning systems. Results show the high suitability of such systems to face the problem by achieving 93% of F1-Score in the best case. Furthermore, we briefly analyze the model architectures in order to choose the best compromise between performances and complexity.

Text corpusComputer sciencemedia_common.quotation_subjectCompromiseFace (sociological concept)02 engineering and technologycomputer.software_genreField (computer science)020204 information systems0202 electrical engineering electronic engineering information engineeringnatural language processingmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaSarcasmbusiness.industryDeep learningSentiment analysisdeep learningirony detectionIrony020201 artificial intelligence & image processingArtificial intelligencebusinesscomputersarcasm detectionNatural language processingProceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services
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Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology, and Framework

2021

This paper describes an approach for supporting automatic satire detection through effective deep learning (DL) architecture that has been shown to be useful for addressing sarcasm/irony detection problems. We both trained and tested the system exploiting articles derived from two important satiric blogs, Lercio and IlFattoQuotidiano, and significant Italian newspapers.

Text corpusSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaComputer sciencebusiness.industryDeep learningcomputer.software_genreNLPDeep LearningArtificial intelligenceSatire DetectionbusinesscomputerNatural language processing
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Guilty Knowledge- testi valheenpaljastustestinä : Tarina- proseduuria käyttäen saadut tulokset kahdella eri pisteytysmenetelmällä

1997

The Story- procedurevalheenpaljastusMemory Trace TestGuilty Knowledge -tekniikkaSkin Conductance ResponseLie detectionGuilty Knowledge TechniqueTarina- proseduuri
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Rapid and eco-friendly synthesis of graphene oxide-silica nanohybrids

2014

The increasing interest in Graphene oxide (GO) is due to many issues: the presence of both sp2-conjugated atoms and oxygen-containing functional groups provides a strong hydrophilicity and the possibility to further functionalize it with other molecules (i.e. π-π interactions covalent attachment etc.) [1]. Furthermore since the GO is biocompatible and noncytotoxic many studies have been recently focused on the development of GO-based nanodevices for bioimaging DNA detection drug delivery. Due to their low cytotoxicity and large internal surface area silica nanoparticles have been taken into account as promising material for biolabeling and drug loading/delivery. Particular consideration has recently been demonstrated for GO-silica composites because of the potentialities for electrical applications their chemical inertia and stability toward ions exposure. The possibility to combine the extraordinary properties of GO and silica offers several advantages for the realization of nanoprobes for biological applications and of biosensor [12]. The strategy for the fabrication of GO-nanosilica nanohybrids can be schematized as follows: (i) synthesis of GO by oxidizing graphite powder with the method described by Marcano et al. [3] (ii) Preparation of oxygen-loaded silica nanoparticles by thermal treatments in controlled atmosphere in order to induce high NIR emission at 1272 nm from high purity silica nanoparticles. (iii) preparation of GrO-silica nanohybrid films via rapid solvent casting in water. The nanohybrids were tested by XPS FTIR Raman analysis UV photoluminescence analysis TGA Zeta potential measurements electrical tests AFM and SEM. Several nanohybrids were prepared by combining two different typologies of GO and two different samples of silica.
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Parallel Collision Queries on the GPU

2013

We present parallel algorithms to accelerate collision tests of rigid body objects for a high number of independent transformations as they occur in sampling-based motion planning and path validation problems. We compare various GPU approaches with a different level of parallelism against each other and against a parallel CPU implementation. Our algorithms require no sophisticated load balancing schemes. They make no assumption on the distribution of the input transformations and require no pre-processing. Yet, we can perform up to 1 million collision tests per second with our best GPU implementation in our benchmarks. This is about 2.5X faster than our reference multi-core CPU implementati…

Theoretical computer scienceShared memoryComputer scienceParallel algorithmCollision detectionParallel computingMotion planningLoad balancing (computing)CollisionRigid bodyImplementation
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Detectability of cannabinoids in the serum samples of cannabis users: Indicators of recent cannabis use? A follow‐up study

2021

Forensic toxicologists are frequently required to predict the time of last cannabis consumption. Several studies suggested the utility of minor cannabinoids as indicators of recent cannabis use. Because several factors influence blood cannabinoid concentrations, the interpretation of serum cannabinoid concentrations remains challenging. To assess the informative value of serum cannabinoid levels in cannabis users (in total N = 117 patients, including 56 patients who stated an exact time of last cannabis use within 24 h before blood sampling), the detectability of cannabinoids, namely delta-9-tetrahydrocannabinol (delta-9-THC), 11-hydroxy-delta-9-THC, 11-nor-9-carboxy-delta-9-THC, cannabichr…

Time FactorsCannabigerolmedicine.medical_treatmentPharmaceutical SciencePhysiologyTetrahydrocannabivarin01 natural sciencesAnalytical Chemistry03 medical and health scienceschemistry.chemical_compoundCannabichromene0302 clinical medicineTandem Mass SpectrometrymedicineHumansEnvironmental Chemistry030216 legal & forensic medicineSpectroscopybiologyCannabinoidsbusiness.industry010401 analytical chemistrybiology.organism_classification0104 chemical sciencesSubstance Abuse DetectionchemistryTetrahydrocannabinolic acidCannabinolMarijuana UseCannabinoidSample collectionCannabisbusinessChromatography LiquidFollow-Up Studiesmedicine.drugDrug Testing and Analysis
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Detection and identification Fabavirus species by one-step RT-PCR and multiplex RT-PCR

2014

The genus Fabavirus of the family Secoviridae comprises a group of poorly characterized viruses. To date, only five species have been described: Broad bean wilt virus 1 (BBWV-1), Broad bean wilt virus 2 (BBWV-2), Lamium mild mosaic virus (LMMV), Gentian mosaic virus (GeMV) and Cucurbit mild mosaic virus (CuMMV). The development is described of two RT-PCR procedures for the detection and identification of Fabavirus species: a one-step RT-PCR using a single pair of conserved primers for the detection of all fabaviruses, and a one-step multiplex RT-PCR using species-specific primers for the simultaneous detection and identification of the above-mentioned species of the genus Fabavirus. These m…

Time FactorsbiologyReverse Transcriptase Polymerase Chain ReactionBBWV-1 BBWV-2 GeMV CuMMV LMMV detection diagnosis multiplex RT-PCR conserved primersLamium mild mosaic virusSettore AGR/12 - Patologia VegetaleDetection Diagnosis Conserved primersbiology.organism_classificationSensitivity and SpecificityVirologyFabavirusBroad bean wilt virusReal-time polymerase chain reactionGenusVirologyPlant virusSecoviridaeRNA ViralIdentification (biology)MultiplexDNA PrimersPlant Diseases
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A thin layer-based amperometric enzyme immunoassay for the rapid and sensitive diagnosis of respiratory syncytial virus infections

2012

Abstract A simple electrochemical sandwich immunoassay involving a polystyrene microarray slide coated with monoclonal capture antibodies and carbon screen-printed sensors (SPS) was designed for the rapid diagnosis of respiratory syncytial virus (RSV). The detection of the antibody-antigen complex formation relied on the use of a horseradish peroxidase conjugate. Its chronoamperometric measurement detection was performed by confining a droplet of H 2 O 2 /3,3',5,5'-tetramethylbenzidine enzyme substrate/mediator solution within a thin layer between one spot of the microarray and the surface of one screen-printed electrochemical cell. The accumulation of the enzyme product in the thin film of…

Time Factorsrespiratory syncytial virus[SDV]Life Sciences [q-bio]Biosensing TechniquesRespiratory Syncytial Virus Infectionsscreen-printed sensorSensitivity and SpecificityHorseradish peroxidaseVirusAnalytical ChemistryImmunoenzyme TechniquesElectrochemistrymedicineHumans[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyimmunoassayAntigens ViralHorseradish PeroxidaseChromatographybiologymedicine.diagnostic_testChemistryAntibodies MonoclonalRespiratory infectionSubstrate (chemistry)Molecular biologyAmperometryRespiratory Syncytial VirusesHRP labelImmunoassay[SDE]Environmental Sciencesbiology.proteinColorimetrythin layer amperometric detectionAntibodyConjugate
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Depth profiling of Al2O3 + TiO2 nanolaminates by means of a time-of-flight energy spectrometer

2011

Atomic layer deposition (ALD) is currently a widespread method to grow conformal thin films with a sub-nm thickness control. By using ALD for nanolaminate oxides, it is possible to fine tune the electrical, optical and mechanical properties of thin films. In this study the elemental depth profiles and surface roughnesses were determined for Al2O3 + TiO2 nanolaminates with nominal single-layer thicknesses of 1, 2, 5, 10 and 20 nm and total thickness between 40 nm and 60 nm. The depth profiles were measured by means of a time-of-flight elastic recoil detection analysis (ToF-ERDA) spectrometer recently installed at the University of Jyväskylä. In TOF-E measurements 63Cu, 35Cl, 12C and 4He ions…

ToF-ERDANuclear and High Energy Physicsdepth profilingMaterials scienceSpectrometerta114business.industryAnalytical chemistryERDIonTotal thicknessElastic recoil detectionTime of flightAtomic layer depositionnanolaminateAl2O3 and TiO2ALDOptoelectronicsThin filmbusinessInstrumentationEnergy (signal processing)
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Time-of-flight - Energy spectrometer for elemental depth profiling - Jyväskylä design

2014

Abstract A new time-of-flight elastic recoil detection spectrometer has been built, and initially the main effort was focused in getting good timing resolution and high detection efficiency for light elements. With the ready system, a 154 ps timing resolution was recorded for scattered 4.8 MeV 4 He 2+ ions. The hydrogen detection efficiency was from 80% to 20% for energies from 100 keV to 1 MeV, respectively, and this was achieved by having an additional atomic layer deposited Al 2 O 3 coating on the first timing detector’s carbon foil. The data acquisition system utilizes an FPGA-card to time-stamp every time-of-flight and energy event with 25 ns resolution. The different origins of the ba…

ToF-ERDANuclear and High Energy Physicstiming gateMaterials scienceIon beam analysista114SpectrometerHydrogenbusiness.industryDetectorchemistry.chemical_elementelemental depth profilingion beam analysistime-of-flightElastic recoil detectionTime of flightData acquisitionOpticschemistryCoincidentbusinessInstrumentation
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