Search results for "Mach"

showing 10 items of 3360 documents

BVLOS UAS Operations in Highly-Turbulent Volcanic Plumes.

2020

Long-range, high-altitude Unoccupied Aerial System (UAS) operations now enable in-situ measurements of volcanic gas chemistry at globally-significant active volcanoes. However, the extreme environments encountered within volcanic plumes present significant challenges for both air frame development and in-flight control. As part of a multi-disciplinary field deployment in May 2019, we flew fixed wing UAS Beyond Visual Line of Sight (BVLOS) over Manam volcano, Papua New Guinea, to measure real-time gas concentrations within the volcanic plume. By integrating aerial gas measurements with ground- and satellite-based sensors, our aim was to collect data that would constrain the emission rate of …

gas sensingMeteorologyFlight operationslcsh:Mechanical engineering and machineryUAVBVLOSlcsh:QA75.5-76.95Volcanic GasesArtificial Intelligenceeventlcsh:TJ1-1570Original Researchevent.disaster_typeRobotics and AIgeographygeography.geographical_feature_categoryplumeTurbulenceaerial roboticManamNew guineaComputer Science ApplicationsPlumeaerial robotic Volcanic degassing aerial robotic gas sensing Manam plume UAV unmanned aircraft system (UAS) volcanovolcanoVolcanoVolcanic plumeSoftware deploymentEnvironmental scienceunmanned aircraft system (UAS)lcsh:Electronic computers. Computer scienceFrontiers in robotics and AI
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Modular Point-of-Care Breath Analyzer and Shape Taxonomy-Based Machine Learning for Gastric Cancer Detection

2022

Background: Gastric cancer is one of the deadliest malignant diseases, and the non-invasive screening and diagnostics options for it are limited. In this article, we present a multi-modular device for breath analysis coupled with a machine learning approach for the detection of cancer-specific breath from the shapes of sensor response curves (taxonomies of clusters). Methods: We analyzed the breaths of 54 gastric cancer patients and 85 control group participants. The analysis was carried out using a breath analyzer with gold nanoparticle and metal oxide sensors. The response of the sensors was analyzed on the basis of the curve shapes and other features commonly used for comparison. These f…

gastric cancer; breath analysis; electronic nose; machine learning; screeningClinical BiochemistryDiagnostics
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Gastric polypoid lesions. Our experience.

2010

BACKGROUND AND AIM: The Authors report the results of their experience on polypoids lesions of the stomach and on endoscopic polypectomies. PATIENTS AND METHODS: A study on 2000 OGD (oesophagogastroduodenoscopy) has been carried out on 95 patients with polypoid lesions. The authors have analysed the associations existing between histological type and symptomatology and localisation of the lesion and the status of the Helicobacter pylori and the risk of cancerization. The data were confronted with the ones already available. RESULTS: In the majority of the cases, the polypoid lesions were asymptomatic, the localization changed according to the histological type, with the antrum as the most a…

gastric endoscopic polypoid lesionsAdultAged 80 and overMalePolypsStomach DiseasesHumansFemaleProspective StudiesMiddle AgedAgedIl Giornale di chirurgia
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Machine Translation and Gender biases in video game localisation: a corpus-based analysis

2021

The video game industry has been a historically gender-biased terrain due to a higher number of male protagonists and hypersexualised representations [Dietz, 1998; Downs & Smith, 2010; Lynch et al., 2016]. Nowadays, echoing the debate on inclusive language, companies attempt to erase gender disparity by introducing main female characters as well as non-binary characters. From a technological point of view, even though recent studies show that Machine Translation remains largely unadopted by individual video game localisers [Rivas Ginel, 2021], multilanguage vendors are willing to invest in these tools to reduce costs [LIND, 2020]. However, the predominance of the masculine in Natural La…

gender biasGender biasesNeural Machine Translation NMTNMTcorpusvideo gamescorpora[SHS.LANGUE]Humanities and Social Sciences/LinguisticsVideo game Localisation[SHS.LANGUE] Humanities and Social Sciences/LinguisticsComputingMilieux_MISCELLANEOUSmachine translation
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On data mining applications in mobile networking and network security

2014

geneettiset algoritmitdata miningmatkaviestinverkotanomaly detectionlangaton tiedonsiirtomachine learningkoneoppiminenclassificationalgoritmitmobile datanetwork securityklusterianalyysirelay stationtiedonlouhintatietoturvakyberturvallisuuslangattomat verkotclustering
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Self in NARS, an AGI System

2018

This article describes and discusses the self-related mechanisms of a general-purpose intelligent system, NARS. This system is designed to be adaptive and to work with insufficient knowledge and resources. The system’s various cognitive functions are uniformly carried out by a central reasoning-learning process following a “non-axiomatic” logic. This logic captures the regularities of human empirical reasoning, where all beliefs are revisable according to evidence, and the meaning of concepts are grounded in the system’s experience. NARS perceives its internal environment basically in the same way as how it perceives its external environment although the sensors involved are completely diff…

general intelligence0209 industrial biotechnologyself-controlComputer scienceProcess (engineering)lcsh:Mechanical engineering and machineryControl (management)02 engineering and technologyconsciousnessConstructiveMental operationslcsh:QA75.5-76.9503 medical and health sciences020901 industrial engineering & automation0302 clinical medicineHuman–computer interactionArtificial Intelligencelcsh:TJ1-1570Meaning (existential)Original ResearchRobotics and AISelf-organizationnon-axiomatic logicCognitionself-organizationComputer Science ApplicationsSelf-awarenesslcsh:Electronic computers. Computer scienceself-awareness030217 neurology & neurosurgeryFrontiers in Robotics and AI
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Classifying DME vs Normal SD-OCT volumes: A review

2016

International audience; This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since early detection and treatment of DME play a major role to prevent eye adverse effects such as blindness. The main contribution of this article is to cover the lack of a public dataset and benchmark suited for classifying DME and normal SD-OCT volumes, providing our own implementation of the most relevant methodologies in the literature. Subsequently, 6 different methods were implemented and evaluated using this comm…

genetic structuresComputer scienceDiabetic macular edemaEarly detection[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMachine learningcomputer.software_genre01 natural sciences010309 optics03 medical and health sciences0302 clinical medicinebenchmark0103 physical sciencesmedicine[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRetinaBlindnessbusiness.industryMachine Learning (ML)medicine.diseaseeye diseasesSpectral Domain OCT (SD-OCT)medicine.anatomical_structure030221 ophthalmology & optometryBenchmark (computing)Artificial intelligenceData miningsense organsDiabetic Macular Edema (DME)businesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Elderly dysphagia: our 10-year experience in Presbyesophagus and Primary Presbyphagia.

2015

Learning objectives Background Findings and procedure details Conclusion Personal information References

genetic structuresGastrointestinal tractFluoroscopyeducationDynamic swallowing studiesPresbyesophagusSwallowing disordersSettore MED/36 - Diagnostica Per Immagini E RadioterapiaStomach (incl. Oesophagus)
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Multi-Criteria Decision Making support system for pancreatic islet transplantation

2011

Pancreatic islet transplantation consists of replacing insulin-producing cells to restore normal glycemia in diabetic patients. This is a minimal invasive procedure that has been proved successful. Unfortunately unpredictability of islet transplant outcome remains a frustrating and costly issue limiting the clinical implementation of this procedure. Multiple variables are involved in the procedure and assessment is subjective to individual operators. The aim of this study was to generate a system expressing the probability of transplant success in relation to four classes of identified variables (donor, organ, isolation and recipient). We have proposed the utilization of Multi-Criteria Deci…

geographyDecision support systemgeography.geographical_feature_categoryComputer sciencebusiness.industryGeneral EngineeringTOPSISMultiple-criteria decision analysisIsletMachine learningcomputer.software_genreOutcome (game theory)Fuzzy logicComputer Science ApplicationsDecision making Fuzzy topsis pancreatic islet transplantationDecision making; Fuzzy topsis; pancreatic islet transplantationArtificial IntelligencePancreatic islet transplantationArtificial intelligencebusinesscomputerOptimal decisionExpert Systems with Applications
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Modern Multispectral Sensors Help Track Explosive Eruptions

2013

Due to its massive air traffic impact, the 2010 eruption of Eyjafjallajokull was felt by millions of people and cost airlines more than U.S. $1.7 billion. The event has, thus, become widely cited in renewed efforts to improve real-time tracking of volcanic plumes, as witnessed by special sections published last year in Journal of Geophysical Research, (117, issues D20 and B9).

geographyExplosive eruptiongeography.geographical_feature_category010504 meteorology & atmospheric sciencesMeteorologyStrombolian Eruptions Multi-sensor field surveyMultispectral imageAir traffic control010502 geochemistry & geophysicsTrack (rail transport)01 natural sciencesAeronauticsVolcano[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing13. Climate action[SDU]Sciences of the Universe [physics]General Earth and Planetary SciencesGeologyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences
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