Search results for "DETECT"

showing 10 items of 5902 documents

Event generation and statistical sampling for physics with deep generative models and a density information buffer

2021

Simulating nature and in particular processes in particle physics require expensive computations and sometimes would take much longer than scientists can afford. Here, we explore ways to a solution for this problem by investigating recent advances in generative modeling and present a study for the generation of events from a physical process with deep generative models. The simulation of physical processes requires not only the production of physical events, but to also ensure that these events occur with the correct frequencies. We investigate the feasibility of learning the event generation and the frequency of occurrence with several generative machine learning models to produce events l…

Test data generationScienceMonte Carlo methodGeneral Physics and AstronomyFOS: Physical sciences01 natural sciencesCharacterization and analytical techniquesGeneral Biochemistry Genetics and Molecular BiologyArticleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)0103 physical sciencesInformation theory and computationHigh Energy Physics010306 general physicsMultidisciplinary010308 nuclear & particles physicsEvent (computing)QStatisticsData ScienceSampling (statistics)General ChemistryDensity estimationAutoencoderHigh Energy Physics - PhenomenologyPhysics - Data Analysis Statistics and ProbabilityExperimental High Energy PhysicsAnomaly detectionAlgorithmImportance samplingData Analysis Statistics and Probability (physics.data-an)
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Antidoping Science

2018

The ineffectiveness of antidoping programs in elite sport, largely due to human and political factors, is leading to a new resolve and greater transparency of antidoping authorities and those stakeholders interested in drug-free sport. The perception by the public, athletes, and the World Anti-Doping Agency (WADA) of antidoping science and current drug testing programs in elite sport varies widely from "ineffective" to "robust and reliable." Here, we discuss why a careful and considered reevaluation of the underlying premise of antidoping science is needed to bring this unique application of predictive/diagnostic science more in line with other areas of medicine. We show how the validity of…

Test strategySample (statistics)Sports MedicineSensitivity and Specificity01 natural sciences03 medical and health sciences0302 clinical medicineAgency (sociology)HumansMedicineOrthopedics and Sports MedicineDrug testing methodsDoping in Sportsbiologybusiness.industryAthletes010401 analytical chemistryPublic Health Environmental and Occupational Health030229 sport sciencesGeneral Medicinebiology.organism_classification0104 chemical sciencesTest (assessment)Substance Abuse DetectionRisk analysis (engineering)AthletesTransparency (graphic)PremisebusinessBiomarkersSportsCurrent Sports Medicine Reports
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Sulfuric acid cleanup and KOH-ethanol treatment for confirmation of organochlorine pesticides and polychlorinated biphenyls: application to wastewate…

1987

Abstract The efficacy of sulfuric acid cleanup and KOH-ethanol hydrolysis confirmation was studied for 22 organochlorine pesticides and 2 polychlorinated biphenyls (PCBs). Mean recoveries for different treatment times are given. The method was applied to analysis of several wastewater samples by gas chromatography with electron capture detection. Organochlorine compounds were extracted by using separatory funnels and 15% diethyl ether in hexane as extractant. All the compounds studied could be analyzed except trifluralin, dichloran, dieldrin, and endrin, which were destroyed after treatment with concentrated H2S04. The pesticides found most commonly in the samples analyzed were fenson, tetr…

Tetradifonchemistry.chemical_compoundElectron capture detectorDieldrinChromatographychemistryEndrinDicofolMethoxychlorGeneral ChemistryPesticideLindane
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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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L’innovazione tecnologica e il Faculty Development.

2023

La crisi pandemica ha accelerato la diffusione di ambienti di apprendimento caratterizzati dall'uso intensivo della tecnologia. Questa novità rappresenta un obiettivo trasversale della professionalizzazione del docente universitario, con una particolare declinazione sul versante pedagogico-didattico-valutativo quale questione strategica per lo sviluppo dell’alta formazione. Il contributo illustra i risultati di una ricerca condotta con 119 docenti universitari neoassunti e 20 Direttori di dipartimento. La finalità della ricerca è stata, da una parte, rilevare la percezione dei docenti neoassunti relativa alle proprie competenze didattiche, metacognitive e valutative, con riferimento alla di…

The pandemic crisis has accelerated the diffusion of learning environments characterized by the intensive use of technology. This novelty represents a transversal objective of the professionalization of the university teacher with a particular declination on the pedagogical-didactic-evaluation side as a strategic issue for the development of higher education. This paper presents the results of research conducted with 119 newly recruited university teachers and 20 Department Directors. The aim of the research was on the one hand to detect the perception of newly hired teachers related to their teaching metacognitive and evaluative skills with reference to distance learning to highlight specific characteristics that could have encouraged or hindered adaptation to this new condition. On the other hand through the qualitative research the aim has been to penetrate in depth the challenges posed by the digital revolution at University by carrying out 20 interviews with privileged witnesses who represent on the national scene agents of institutional change. The results showed a certain awareness of the need to integrate new ways of teaching to increase interest participation and enthusiasm for technology.Settore M-PED/03 - Didattica E Pedagogia Speciale
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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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A fully planar approach to the construction of X-Ray microcalorimeters with doped Germanium sensors

2008

We have investigated a fully planar technology for the development of arrays of X-ray microcalorimeters with doped germanium thermal sensor. We describe the proposed approach and show promising results obtained with the deep etching of germanium, the most critical step of the whole process.

Thermal sensorsMaterials sciencebusiness.industryThermistorDetectorDopingX-raychemistry.chemical_elementGermaniumCondensed Matter PhysicsAtomic and Molecular Physics and OpticsPlanarX-ray detectors microcalorimeter planar technologychemistryEtching (microfabrication)OptoelectronicsGeneral Materials Sciencebusiness
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