Search results for "Machine"

showing 10 items of 2592 documents

Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission

2022

In the next few years, the new Copernicus Hyperspectral Imaging Mission (CHIME) is foreseen to be launched by the European Space Agency (ESA). This mission will provide an unprecedented amount of hyperspectral data, enabling new research possibilities within several fields of natural resources, including the “agriculture and food security” domain. In order to efficiently exploit this upcoming hyperspectral data stream, new processing methods and techniques need to be studied and implemented. In this work, the hybrid approach (HYB) and its variant, featuring sampling dimensionality reduction through active learning heuristics (HAL), were applied to CHIME-like data to evaluate the…

chlorophyll contentmachine learning regression algorithmactive learningGeneral Earth and Planetary Sciencesspaceborne imaging spectroscopyradiative transfer modelingGaussian process regressionnitrogen contentRemote Sensing
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The Three Steps of Clustering in the Post-Genomic Era: A Synopsis

2011

Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. Following Handl et al., it can be summarized as a three step process: (a) choice of a distance function; (b) choice of a clustering algorithm; (c) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Unfortunately, the high dimensionality of the data and their noisy nature makes cluster analysis of genomic data particul…

cluster validation indicesSettore INF/01 - InformaticaProcess (engineering)Computer sciencebusiness.industryGenomic datadistance functionMachine learningcomputer.software_genreObject (computer science)ClusteringCluster algorithmPredictive powerRelevance (information retrieval)Artificial intelligenceHigh dimensionalitybusinessCluster analysiscomputer
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Artificial intelligence in the cyber security environment

2019

Artificial Intelligence (AI) is intelligence exhibited by machines. Any system that perceives its environment and takes actions that maximize its chance of success at some goal may be defined as AI. The family of AI research is rich and varied. For example, cognitive computing is a comprehensive set of capabilities based on technologies such as deep learning, machine learning, natural language processing, reasoning and decision technologies, speech and vision technologies, human interface technologies, semantic technology, dialog and narrative generation, among other technologies. Artificial intelligence and robotics have steadily growing roles in our lives and have the potential to transfo…

cognitive abilitieskoneoppiminenanomalysupervised machine learningtekoälykyberturvallisuusunsupervised machine learning
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Penser par images avec Bachelard

2012

International audience

communication sensible[SHS.INFO]Humanities and Social Sciences/Library and information sciences[ SHS.INFO ] Humanities and Social Sciences/Library and information sciences[SHS.INFO] Humanities and Social Sciences/Library and information sciencesComputingMilieux_MISCELLANEOUSBachelard Gastonimage de la machine
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APPLICAZIONE DI UN PROTOTIPO DI MOTOVANGATRICE PER PRESERVARE LA FERTILITÀ DEL SUOLO

Negli ambienti caratterizzati da forti pendenze o sistemati a terrazze, nell’ambito delle lavorazioni superficiali, viene impiegato diffusamente il motocoltivatore provvisto di zappatrice rotativa. Tuttavia, l’effetto dell’uso ripetuto della zappatrice per lavorazione del terreno ha una notevole influenza sulle caratteristiche del terreno, che si presenta finemente polverizzato, soffice e astrutturato. Al fine di limitare tali inconvenienti, è stata progettata dalla sezione Meccanica del Dipartimento Scienze Agrarie e Forestali dell’Università di Palermo, in collaborazione con la ditta costruttrice Agrotec di Padova, una macchina innovativa semovente provvista di organi di lavoro del tipo a…

compattazione del suolo resistenza alla penetrazione vangatrice lavorazione pools di C nel suolo.soil compaction penetration resistance spading machine tillage soil C pools.Settore AGR/09 - Meccanica Agraria
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Waste Usage as Secondary Resource

2021

The current state of waste management in Poltava region is summarized in this article. In this article were determined places of accumulation and the influence of population size on the volumes of domestic solid wastes formation. Here also was analyzed dynamics of changes in the production of domestic solid wastes in rural areas and in cities. The morphological composition of domestic solid wastes was determined due to researches during 2017-2019. In the article was conducted comparative analysis of the data of changes in the percentage of components, which are part of domestic solid wastes depending on the time of year. It is determined that about 55% of the waste is the organic part of do…

compostbiomasstechnologyprocessingwastemachineProcedia Environmental Science, Engineering and Management
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Turing's Error-revised

2016

Many important lines of argumentation have been presented during the last decades claiming that machines cannot think like people. Yet, it has been possible to construct devices and information systems, which replace people in tasks which have previously been occupied by people as the tasks require intelligence. The long and versatile discourse over, what machine intelligence is, suggests that there is something unclear in the foundations of the discourse itself. Therefore, we critically studied the foundations of used theory languages. By looking critically some of the main arguments of machine thinking, one can find unifying factors. Most of them are based on the fact that computers canno…

computationTuring machinemodelformal languageconsciousnessmind
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An Early Stage Researcher's Primer on Systems Medicine Terminology

2021

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. Thes…

computer_scienceGraphs and NetworksmedicineGlossary[SDV]Life Sciences [q-bio]Comprehensive ReviewTerminology03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingMachine learningGeneticsmultiscale data science[INFO]Computer Science [cs]systems medicinemulti-scale modellingMulti-scale modellingComputingMilieux_MISCELLANEOUS030304 developmental biologyInterdisciplinarityMulti-scale data science0303 health scienceshealthGeneral MedicineHuman bodySciences bio-médicales et agricolesData science[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multiscale modeling3. Good healthTerm (time)Systems medicinemachine learningmulti-scale data scienceSystems medicineMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being030217 neurology & neurosurgeryNetwork and Systems Medicine
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Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study

2018

Background Recent discoveries in the fields of machine learning (ML), Ecological Momentary Assessment (EMA), computerized adaptive testing (CAT), digital phenotype, imaging, and biomarkers have brought about a new paradigm shift in medicine. Objective The aim of this study was to explore psychiatrists’ perspectives on this paradigm through the prism of new clinical decision support systems (CDSSs). Our primary objective was to assess the acceptability of these new technologies. Our secondary objective was to characterize the factors affecting their acceptability. Methods A sample of psychiatrists was recruited through a mailing list. Respondents completed a Web-based survey. A quantitative…

computerized adaptive testingStandardizationEmerging technologiesApplied psychologySample (statistics)digital phenotypeClinical decision support systemprofessional culture03 medical and health sciences0302 clinical medicineacceptabilityMailing listclinical decision support systemsOriginal Papermobile phonebusiness.industryecological momentary assessmentUsability030227 psychiatryTherapeutic relationshipPsychiatry and Mental healthmachine learningComputerized adaptive testingPsychologybusiness030217 neurology & neurosurgeryJMIR Mental Health
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An Efficient Damping Technique for the Unstable Hysteretic Rotor Whirl by Proper Suspension Systems

2009

This paper shows as the destabilising influence of the shaft hysteresis on the supercritical rotor whirl can be efficiently counterbalanced by external dissipative sources. After calculating the steady whirling paths of the rotor and the bearing due to unbalance, the stability is checked by the Routh-Hurwitz procedure, investigating the influence of the stiffness anisotropy of the supports. A fairly interesting result is that the instability phenomena can be conveniently prevented by different suspension stiffness in the horizontal and vertical planes.

conical whirl hysteresis rotating machinerySettore ING-IND/13 - Meccanica Applicata Alle Macchine
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