Search results for " Mach"

showing 10 items of 1388 documents

Evaluation of a Support Vector Machine Based Method for Crohn’s Disease Classification

2019

Crohn’s disease (CD) is a chronic, disabling inflammatory bowel disease that affects millions of people worldwide. CD diagnosis is a challenging issue that involves a combination of radiological, endoscopic, histological, and laboratory investigations. Medical imaging plays an important role in the clinical evaluation of CD. Enterography magnetic resonance imaging (E-MRI) has been proven to be a useful diagnostic tool for disease activity assessment. However, the manual classification process by expert radiologists is time-consuming and expensive. This paper proposes the evaluation of an automatic Support Vector Machine (SVM) based supervised learning method for CD classification. A real E-…

Crohn's diseasemedicine.diagnostic_testComputer sciencebusiness.industryFeature vectorFeature extractionSupervised learningMagnetic resonance imagingPattern recognitionmedicine.diseaseCrohn’s disease classification Feature extraction Feature reduction K-fold cross-validation Supervised learning Support vector machinesSupport vector machinemedicineMedical imagingArtificial intelligencebusinessReliability (statistics)
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Energy recovery from rectangular weirs in wastewater treat-ment plants

2022

Hydraulic turbines for energy recovery in wastewater treatment plants, with relatively large discharges and small head jumps, are usually screw or Kaplan types. In the specific case of a small head jump (about 3 m) underlying a rectangular weir in the major Palermo (Italy) treat-ment plant, a traditional Kaplan solution is compared with two other ones: a Hydrostatic Pres-sure Machine (HPM) located in the upstream channel and a cross-flow turbine located in a specif-ic underground room downstream the same channel.

Cross-flow turbineLow head turbinesHydrostatic Pressure MachineSettore ICAR/01 - Idraulica
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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

2021

The British journal of surgery 108(11), 1274-1292 (2021). doi:10.1093/bjs/znab183

Cuidado perioperatorioAcademicSubjects/MED00910Settore MED/18 - CHIRURGIA GENERALEMedizinpulmonary complicationspreoperative screeningDatasets as TopicSurgical Procedures Operative/mortality030230 surgeryperioperative care ; surgical procedures ; operative mortality ; machine learning ; sars-cov-2Medical and Health SciencesProcediments quirúrgicsCohort StudiesMachine LearningTumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14]0302 clinical medicineModelsProcedimientos quirúrgicosMedicine and Health SciencesCOVIDSurg Collaborative Co-authorsMedicine030212 general & internal medicineskin and connective tissue diseasesRapid Research Communication11 Medical and Health SciencesOperative/mortalitySARS-CoV-19COVID-19/mortalityStatisticalCOVID-19/mortality; Cohort Studies; Datasets as Topic; Humans; Machine Learning; Models Statistical; Risk Assessment; SARS-CoV-2; Surgical Procedures Operative/mortalityCOVID-19; Cohort Studies; Datasets as Topic; Humans; Machine Learning; SARS-CoV-2; Surgical Procedures Operative; Models Statistical; Risk AssessmentAprendizaje automáticoOperativeSurgical Procedures OperativeoutcomeOperativo[SDV.IB]Life Sciences [q-bio]/BioengineeringPatient SafetyAcademicSubjects/MED000106.4 SurgeryLife Sciences & BiomedicineHuman61medicine.medical_specialty616.9Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-.Risk AssessmentNOCOVIDSurg CollaborativeVaccine Related03 medical and health sciencesClinical ResearchBiodefenseCures perioperatòriesAprenentatge automàticMortalitatHumansOperatiusLS7_4Surgical ProceduresScience & TechnologyModels Statisticalbusiness.industrySARS-CoV-2SARS-CoV-2 infectionKirurgiPreventionnot indicatedcovid 19fungiEvaluation of treatments and therapeutic interventionsCOVID-19Perioperativecovid 19; pulmonary complications; postoperative mortality risk; SARS-CoV-2 infection; preoperative screening; vaccinationvaccinationmortalityGood Health and Well BeingMortalidadEmergency medicineSurgeryHuman medicineCohort Studiebusinesspostoperative mortality riskPerioperative care
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A cultural heritage experience for visually impaired people

2020

Abstract In recent years, we have assisted to an impressive advance of computer vision algorithms, based on image processing and artificial intelligence. Among the many applications of computer vision, in this paper we investigate on the potential impact for enhancing the cultural and physical accessibility of cultural heritage sites. By using a common smartphone as a mediation instrument with the environment, we demonstrate how convolutional networks can be trained for recognizing monuments in the surroundings of the users, thus enabling the possibility of accessing contents associated to the monument itself, or new forms of fruition for visually impaired people. Moreover, computer vision …

Cultural heritagePotential impactComputer scienceVisually impairedHuman–computer interactionSettore ING-INF/03 - TelecomunicazioniMediationComputer vision algorithmsImage processingnavigation visually impaired computer vision augmented reality cultural context convolutional neural network machine learning hapticPhysical accessibility
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Inventando el crimen pasional: del lenguaje de gacetilla a la prensa de sucesos (España, 1892-1920)

2021

El terme «crim passional» va sorgir a la premsa espanyola el 1892. L’objectiu d’aquest treball és desvelar el perquè i entendre’n la relació amb la premsa sensacionalista i, en especial, amb la premsa especialitzada en successos. La nostra metodologia considera que la premsa és un motor cultural en la construcció de conceptes amb incidència social. Així, doncs, explorem la presència del terme «crim passional» en un bon nombre de diaris i setmanaris per observar com es va construir un marc mental de naturalesa emocional. Es revela la incidència del concepte en l’opinió pública i en el llenguatge jurídic, així com la seva rellevància en la justificació de la violència contra les dones.

DP1-402Cultural StudiesHistorysensationalist journalismsensacionalisme periodísticmedia_common.quotation_subjectHistory of Spainpremsa de successosArtcrime of passionviolencia machistasensacionalismo periodísticoPremsaprensa de sucesoscrimen pasionalDHistory (General) and history of Europemale violenceviolència masclistacrim passionalevent reportingHumanitiesmedia_commonCercles. Revista d'Història Cultural
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Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review

2020

This paper presents a review of different condition monitoring technologies for fiber ropes. Specifically, it presents an overview of the articles and patents on the subject, ranging from the early 70’s up until today with the state of the art. Experimental results are also included and discussed in a conditionmonitoring context,where failuremechanisms and changes in physical parameters give improved insight into the degradation process of fiber ropes. From this review, it is found that automatic width measurement has received surprisingly little attention, and might be a future direction for the development of a continuous condition monitoring system for synthetic fiber ropes.

Damage detectionComputer scienceEnergy Engineering and Power TechnologyContext (language use)computer visiondamage detectionSystems engineeringcondition based maintenance (cbm)TA168health monitoringComputer Science (miscellaneous)Degradation processSafety Risk Reliability and QualityCivil and Structural Engineeringvibration analysisx-ray tomographyFiber (mathematics)ultrasoundMechanical EngineeringCondition monitoringelectromagnetic methodTA213-215thermographyEngineering machinery tools and implementsSynthetic fiberSystems engineeringoptical damage sensorsInternational Journal of Prognostics and Health Management
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Machine learning at the interface of structural health monitoring and non-destructive evaluation

2020

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…

Damage detectionComputer scienceTKGeneral MathematicsInterface (computing)General Physics and AstronomyCompressive sensing machine learning non-destructive evaluation structural health monitoring transfer learning ultrasoundMachine learningcomputer.software_genreMachine LearningSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineEngineeringManufacturing and Industrial FacilitiesNon destructiveHumansUltrasonicsFeature databusiness.industryUltrasonic testingGeneral EngineeringBayes TheoremSignal Processing Computer-AssistedArticlesRoboticsData CompressionIdentification (information)Regression AnalysisStructural health monitoringArtificial intelligenceTransfer of learningbusinesscomputerAlgorithmsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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Machine learning in remote sensing data processing

2009

Remote sensing data processing deals with real-life applications with great societal values. For instance urban monitoring, fire detection or flood prediction from remotely sensed multispectral or radar images have a great impact on economical and environmental issues. To treat efficiently the acquired data and provide accurate products, remote sensing has evolved into a multidisciplinary field, where machine learning and signal processing algorithms play an important role nowadays. This paper serves as a survey of methods and applications, and reviews the latest methodological advances in machine learning for remote sensing data analysis.

Data processingContextual image classificationFire detectionbusiness.industryComputer scienceMultispectral imageMachine learningcomputer.software_genreField (computer science)Support vector machineRemote sensing (archaeology)Radar imagingArtificial intelligencebusinesscomputerRemote sensing2009 IEEE International Workshop on Machine Learning for Signal Processing
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Distributed Real-Time Sentiment Analysis for Big Data Social Streams

2014

Big data trend has enforced the data-centric systems to have continuous fast data streams. In recent years, real-time analytics on stream data has formed into a new research field, which aims to answer queries about "what-is-happening-now" with a negligible delay. The real challenge with real-time stream data processing is that it is impossible to store instances of data, and therefore online analytical algorithms are utilized. To perform real-time analytics, pre-processing of data should be performed in a way that only a short summary of stream is stored in main memory. In addition, due to high speed of arrival, average processing time for each instance of data should be in such a way that…

Data streamFOS: Computer and information sciencesComputer Science - Computation and LanguageComputer sciencebusiness.industryData stream miningSentiment analysisBig dataMachine Learning (stat.ML)Databases (cs.DB)Data structurecomputer.software_genreField (computer science)Computer Science - Information RetrievalTree (data structure)Computer Science - DatabasesComputer Science - Distributed Parallel and Cluster ComputingAnalyticsStatistics - Machine LearningData miningDistributed Parallel and Cluster Computing (cs.DC)businesscomputerComputation and Language (cs.CL)Information Retrieval (cs.IR)
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