Готові списки джерел за темами / Temporal component

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Добірка наукової літератури з теми "Temporal component"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "Temporal component"

De, Amo Sandra, and Mírian Halfeld Ferrari Alves. "Incremental Maintenance of Data Warehouses Based on Past Temporal Logic Operators." JUCS - Journal of Universal Computer Science 10, no. (9) (2004): 1035–64. https://doi.org/10.3217/jucs-010-09-1035.

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We see a temporal data warehouse as a set of temporal views defined in the past fragment of the temporal relational algebra extended with set-valued attributes and aggregation. This paper proposes an incremental maintenance method for temporal views that allows improvements over the re-computation from scratch. We introduce a formalism for temporal data warehouse specification that summarizes information needed for its incremental maintenance. According to this formalism, a temporal data warehouse W is a pair of two sets of views : the materialized component and the virtual component. The mate

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Seddon, Andrew, and Pearl Brereton. "Component selection using temporal truth maintenance." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 8, no. 1 (1994): 13–25. http://dx.doi.org/10.1017/s0890060400000421.

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AbstractThe application of truth maintenance techniques to the component selection phase of the engineering design process is described. The aims of the research include the selection of components that most closely match a set of requirements which include fluid characteristics, economic constraints, and company policies or preferences. In addition, we consider the storage and retrieval of requirement sets and corresponding component selections. The benefits of maintaining temporal knowledge are twofold: to enhance performance through reuse when new requirement sets are similar to previous se

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Frederickson, Charles G. "Temporal Experience: A Two Component Model." Perceptual and Motor Skills 66, no. 1 (1988): 63–68. http://dx.doi.org/10.2466/pms.1988.66.1.63.

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The experience of time, or temporal experience, has been postulated to be derived from an interrelation of two components, succession and duration. These components are represented in the literature as temporal orientation and temporal pace, respectively. This postulate of interrelatedness was tested by examining the relationship between measures of temporal orientation and pace assessed simultaneously and coincidentally during 102 psychotherapeutic sessions. Multiple regression analysis indicated a statistically significant relationship between these variables. The nature of their relation an

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Ge, Liang, Siyu Li, Yaqian Wang, Feng Chang, and Kunyan Wu. "Global Spatial-Temporal Graph Convolutional Network for Urban Traffic Speed Prediction." Applied Sciences 10, no. 4 (2020): 1509. http://dx.doi.org/10.3390/app10041509.

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Traffic speed prediction plays a significant role in the intelligent traffic system (ITS). However, due to the complex spatial-temporal correlations of traffic data, it is very challenging to predict traffic speed timely and accurately. The traffic speed renders not only short-term neighboring and multiple long-term periodic dependencies in the temporal dimension but also local and global dependencies in the spatial dimension. To address this problem, we propose a novel deep-learning-based model, Global Spatial-Temporal Graph Convolutional Network (GSTGCN), for urban traffic speed prediction.

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Kapur, Jaideep. "Is Mesial Temporal Sclerosis a Necessary Component of Temporal Lobe Epilepsy?" Epilepsy Currents 6, no. 6 (2006): 208–9. http://dx.doi.org/10.1111/j.1535-7511.2006.00147.x.

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Hettinger, Thomas, and Marion Frank. "Stochastic and Temporal Models of Olfactory Perception." Chemosensors 6, no. 4 (2018): 44. http://dx.doi.org/10.3390/chemosensors6040044.

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Olfactory systems typically process signals produced by mixtures composed of very many natural odors, some that can be elicited by single compounds. The several hundred different olfactory receptors aided by several dozen different taste receptors are sufficient to define our complex chemosensory world. However, sensory processing by selective adaptation and mixture suppression leaves only a few perceptual components recognized at any time. Thresholds determined by stochastic processes are described by functions relating stimulus detection to concentration. Relative saliences of mixture compon

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Stewart-Koster, Ben, Mark J. Kennard, Bronwyn D. Harch, Fran Sheldon, Angela H. Arthington, and Bradley J. Pusey. "Partitioning the variation in stream fish assemblages within a spatio-temporal hierarchy." Marine and Freshwater Research 58, no. 7 (2007): 675. http://dx.doi.org/10.1071/mf06183.

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This paper describes the relative influence of (i) landscape scale environmental and hydrological factors, (ii) local scale environmental conditions including recent flow history, and (iii) spatial effects (proximity of sites to one another), on the spatial and temporal variation in local freshwater fish assemblages in the Mary River, south-eastern Queensland, Australia. Using canonical correspondence analysis, each of the three sets of variables explained similar amounts of variation in fish assemblages (ranging from 44 to 52%). Variation in fish assemblages was partitioned into eight unique

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Gromushkin, D. M., A. A. Petrukhin, Yu V. Stenkin, and I. I. Yashin. "Study of EAS neutron component temporal structure." Astrophysics and Space Sciences Transactions 7, no. 2 (2011): 115–17. http://dx.doi.org/10.5194/astra-7-115-2011.

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Krzyśko, Mirosław, Waldemar Wołyński, Wojciech Łukaszonek, and Waldemar Ratajczak. "PRINCIPAL COMPONENT ANALYSIS FOR TEMPORAL-SPATIAL DATA." PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU, no. 507 (2018): 115–23. http://dx.doi.org/10.15611/pn.2018.507.11.

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Huber-Huber, C., A. Grubert, U. Ansorge, and M. Eimer. "Nasal-temporal Asymmetries of the N2pc Component." Journal of Vision 14, no. 10 (2014): 622. http://dx.doi.org/10.1167/14.10.622.

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Дисертації з теми "Temporal component"

Gao, Dengfeng. "Supporting the Procedural Component of Query Languages over Time-Varying Data." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/195841.

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As everything in the real world changes over time, the ability to model thistemporal dimension of the real world is essential to many computerapplications. Almost every database application involves the management oftemporal data. This applies not only to relational data but also to any datathat models the real world including XML data. Expressing queries ontime-varying (relational or XML) data by using standard query language (SQLor XQuery) is more difficult than writing queries on nontemporal data.In this dissertation, we present minimal valid-time extensions to XQueryand SQL/PSM, focusing o

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Anjasmara, Ira Mutiara. "Spatio-temporal analysis of GRACE gravity field variations using the principal component analysis." Thesis, Curtin University, 2008. http://hdl.handle.net/20.500.11937/957.

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Gravity Recovery and Climate Experiment (GRACE) mission has amplified the knowledge of both static and time-variable part of the Earth’s gravity field. Currently, GRACE maps the Earth’s gravity field with a near-global coverage and over a five year period, which makes it possible to apply statistical analysis techniques to the data. The objective of this study is to analyse the most dominant spatial and temporal variability of the Earth’s gravity field observed by GRACE using a combination of analytical and statistical methods such as Harmonic Analysis (HA) and Principal Component Analysis (PC

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Anjasmara, Ira Mutiara. "Spatio-temporal analysis of GRACE gravity field variations using the principal component analysis." Curtin University of Technology, Department of Spatial Sciences, 2008. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=18720.

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Christmas, Jacqueline. "Robust spatio-temporal latent variable models." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3051.

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Principal Component Analysis (PCA) and Canonical Correlation Analysis (CCA) are widely-used mathematical models for decomposing multivariate data. They capture spatial relationships between variables, but ignore any temporal relationships that might exist between observations. Probabilistic PCA (PPCA) and Probabilistic CCA (ProbCCA) are versions of these two models that explain the statistical properties of the observed variables as linear mixtures of an alternative, hypothetical set of hidden, or latent, variables and explicitly model noise. Both the noise and the latent variables are assumed

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Garges, David Casimir. "Early Forest Fire Detection via Principal Component Analysis of Spectral and Temporal Smoke Signature." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1456.

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The goal of this study is to develop a smoke detecting algorithm using digital image processing techniques on multi-spectral (visible & infrared) video. By utilizing principal component analysis (PCA) followed by spatial filtering of principal component images the location of smoke can be accurately identified over a period of exposure time with a given frame capture rate. This result can be further analyzed with consideration of wind factor and fire detection range to determine if a fire is present within a scene. Infrared spectral data is shown to contribute little information concerning the

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Gebresilassie, Mesele Atsbeha. "Spatio-temporal Traffic Flow Prediction." Thesis, KTH, Geoinformatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-212323.

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The advancement in computational intelligence and computational power and the explosionof traffic data continues to drive the development and use of Intelligent TransportSystem and smart mobility applications. As one of the fundamental components of IntelligentTransport Systems, traffic flow prediction research has been advancing from theclassical statistical and time-series based techniques to data–driven methods mainly employingdata mining and machine learning algorithms. However, significant number oftraffic flow prediction studies have overlooked the impact of road network topology ontraff

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Boespflug, Erin L. "Component diffusion tensor analysis suggests disparate temporal stem and fornix white matter pathology in Mild Cognitive Impairment." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1336137888.

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Wijekoon, Nishanthi. "SPATIAL AND TEMPORAL VARIABILITY OF SURFACE COVER IN AN ESTUARINE ECOSYSTEM FROM SATELLITE IMAGERY AND FIELD OBSERVATIONS." Kent State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=kent1194621824.

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Bouaziz, Hamida. "Adaptation of SysML Blocks and Verification of Temporal Properties." Thesis, Besançon, 2016. http://www.theses.fr/2016BESA2015/document.

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Le travail présenté dans cette thèse a lieu dans le domaine de développement basé sur les composants, il est une contribution à laspécification, l'adaptation et la vérification des systèmes à base de composants. Le but principal de cette thèse est la proposition d'uneapproche formelle pour construire progressivement des systèmes complexes en assemblant et en adaptant un ensemble de composants,où leur structure et leur comportement sont modélisés à l'aide de diagrammes SysML. Dans la première étape, nous avons défini uneapproche basée sur la méta-modélisation et la transformation des modèles po

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Prata, Marlon Santos. "Uma metodologia para extrair e avaliar padrões em imagens de ressonância magnética funcional na dimensão temporal." Universidade Federal de Sergipe, 2013. https://ri.ufs.br/handle/riufs/3346.

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This work presents a methodology to extract and evaluate signals in functional magnetic resonance imaging (fMRI) in the temporal dimension. It is assumed that it is possible to separate the signals from brain activations of a given protocol of other signals such as breathing, heartbeat, involuntary eye movements, and others. This paper proposes a methodological way, get through simulated and controlled measure the efficiency of the Model of Independent Component Analysis (ACI) for fMRI images to separate these signals experiments. To validate the experiments it was necessary to generate simula

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Книги з теми "Temporal component"

Eder, B. K. The spatial and temporal analysis of non-urban ozone concentrations over the eastern United States using rotated principal component analysis. U.S. Environmental Protection Agency, 1992.

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Radvansky, Gabriel A. Comprehensive and memory of spatial and temporal event components. U.S. Army Research Institute for the Behavioral and Social Sciences, 2008.

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Castellanos Garzón, >Giovanni. Paradojas visuales. Universidad de La Salle. Ediciones Unisalle, 2021. http://dx.doi.org/10.19052/9786287510166.

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El valor significativo de la arquitectura contemporánea indica imprecisión temporal y cierta eventualidad. La veracidad de la arquitectura se ha transformado en espacio de exhibición; esta ya no se juzga por el cumplimiento real de sus promesas sino por la correspondencia entre sus fantasías y las del espectador. La paradoja visual se establece como espacio de relaciones y conflictos en donde unos y otros componen la complejidad arquitectónica de nuestra época, pues esta se ubica, estratégicamente, en el lugar de encuentro entre categorías opuestas y distintivas, un significado conceptual posi

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Grigorev, Anatoliy. Methods and algorithms of data processing. INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/22119.

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In this manual some methods and algorithms of data processing, the sequence of the solution of problems of processing and the analysis of data for creation of behavior model of an object taking into account all a component of his mathematical model are considered. Types of technological methods of use of software and hardware for the solution of tasks in this area are described. Algorithms of distributions, regressions of temporary ranks, their transformation for the purpose of receiving mathematical models and the forecast of behavior of information and economic systems (objects) are consider

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Surkova, Galina. Atmospheric chemistry. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1079840.

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The textbook contains material corresponding to the course of lectures on atmospheric chemistry prepared for students studying meteorology and climatology. The basic concepts of atmospheric chemistry are given, its gaseous components, as well as aerosols and chemical processes related to their life cycles, which are important from the point of view of the formation of the radiation, temperature and dynamic regime of the atmosphere, as well as its pollution, are considered. The main regularities of the transport of impurities in the atmosphere and the role of processes of different spatial and

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Luc, Heres, ed. Time in GIS: Issues in spatio-temporal modelling. Nederlandse Commissie voor Geodesie, 2000. http://dx.doi.org/10.54419/v5m55p.

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Most Geographic Information Systems started as a substitute for loose paper maps. These paper maps did not have a built-in time dimension and could only represent history indirectly as a sequence of physically separate images. This was in fact imitated by these first generation systems. The time dimension could only be represented by means of separate files. A minority of Geographic Information Systems however, started their life as a substitute for ordered lists and tables with a link to paper maps. In these lists, the inclusion of a time com-ponent in the form of a data field was quite usual

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Congendo, Marco, and Fernando H. Lopes da Silva. Event-Related Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0039.

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Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We em

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Bird, Alexander. Manifesting Time and Space: Background-Free Physical Theories. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198796572.003.0009.

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Temporal and spatial relations are often regarded as paradigmatic categorical properties that pro-vide a counterexamples to the claim that all fundamental natural properties powers (potencies)—properties that are dispositional in nature/essence. In this chapter, I consider the consequences for this debate of thinking that a good physical theory should be background-independent. I propose that the conception of time and space not as a background but as an active component of the physical universe help show that temporal and spatial properties and relations need not be considered as necessarily

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Friedman, William. About Time. The MIT Press, 1990. http://dx.doi.org/10.7551/mitpress/1050.001.0001.

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In About Time, William Friedman provides a new integrated look at research on the psychological processes that underlie the human experience of time. Few intellectual problems are as intriguing or as difficult as understanding the nature of time. In About Time, William Friedman provides a new integrated look at research on the psychological processes that underlie the human experience of time. He explains what psychologists have discovered about temporal perception and cognition since the publication of Paul Fraisse's The Psychology of Time in 1963 and offers fresh interpretations of their fin

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Частини книг з теми "Temporal component"

Dormoy, Julien, Olga Kouchnarenko, and Arnaud Lanoix. "Using Temporal Logic for Dynamic Reconfigurations of Components." In Formal Aspects of Component Software. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27269-1_12.

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Simko, Viliam, David Hauzar, Tomas Bures, Petr Hnetynka, and Frantisek Plasil. "Verifying Temporal Properties of Use-Cases in Natural Language." In Formal Aspects of Component Software. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35743-5_21.

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Dormoy, Julien, Olga Kouchnarenko, and Arnaud Lanoix. "Runtime Verification of Temporal Patterns for Dynamic Reconfigurations of Components." In Formal Aspects of Component Software. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35743-5_8.

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Unger, Hilit, and Yehoshua Y. Zeevi. "Blind Separation of Spatio-temporal Data Sources." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_121.

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Kouchnarenko, Olga, and Jean-François Weber. "Decentralised Evaluation of Temporal Patterns over Component-Based Systems at Runtime." In Formal Aspects of Component Software. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15317-9_7.

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Kouchnarenko, Olga, and Jean-François Weber. "Adapting Component-Based Systems at Runtime via Policies with Temporal Patterns." In Formal Aspects of Component Software. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07602-7_15.

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Zhang, Liqing. "Temporal Independent Component Analysis for Separating Noisy Signals." In Neural Information Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30499-9_165.

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Sander, T. H. "Parallel Implementation of Temporal Decorrelation Independent Component Analysis." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03882-2_473.

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Polonsky, Alexey, and Michael Zibulevsky. "MEG/EEG Source Localization Using Spatio-temporal Sparse Representations." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_126.

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Anemüller, Jörn, Jeng-Ren Duann, Terrence J. Sejnowski, and Scott Makeig. "Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_139.

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Тези доповідей конференцій з теми "Temporal component"

Wang, Keyue. "Emotion measurement method based on improved temporal global principal component analysis and Seq2Seq model." In 2024 4th International Signal Processing, Communications and Engineering Management Conference (ISPCEM). IEEE, 2024. https://doi.org/10.1109/ispcem64498.2024.00073.

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Santana, Roberto, Iñaki Inza, Ana Picallo-Perez, and Irati Prol-Godoy. "Fault Classification From Multivariate Time Series in Fan Coil Units: The Impact of the Temporal Component." In 2024 4th International Conference on Smart City and Green Energy (ICSCGE). IEEE, 2024. https://doi.org/10.1109/icscge64239.2024.11063728.

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Humblot, Raphaël, Stéphane Branly, Loïc Meignien, Patrick Audebert, and Frédéric Druon. "Phase conjugation of high-energy Nd:glass laser pulses with spatial and temporal fidelity." In Advanced Solid State Lasers. Optica Publishing Group, 2024. https://doi.org/10.1364/assl.2024.ath1a.3.

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We report the successful operation of a phase conjugate mirror operating at unprecedented energy level of 122 J. The component was able for the first time to reflect arbitrary temporal profiles with good fidelity

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Liqing Zhang and Bin Xia. "Temporal independent component analysis for separating event-related potentials." In Proceedings of 2003 International Conference on Neural Networks and Signal Processing. IEEE, 2003. http://dx.doi.org/10.1109/icnnsp.2003.1281125.

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Pontisso, Nadege, Philippe Queinnec, and Gerard Padiou. "Temporal data matching in component based real time systems." In 2009 IEEE International Symposium on Industrial Embedded Systems (SIES). IEEE, 2009. http://dx.doi.org/10.1109/sies.2009.5196195.

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You, Shingchern D., and Ming-Jen Hung. "Reducing Dimensionality of Spectro-Temporal Data by Independent Component Analysis." In 2020 2nd International Conference on Computer Communication and the Internet (ICCCI). IEEE, 2020. http://dx.doi.org/10.1109/iccci49374.2020.9145984.

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Janvan Manen, Dirk, Phil Christie, Kurt Eggenberger, Massimiliano Vassallo, Smaine Zeroug, and Ed Kragh and Tony Curtis. "Increasing Spatial and Temporal Bandwidth with Multi-component Streamer Data." In 74th EAGE Conference and Exhibition - Workshops. EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20149821.

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James, C. J., and C. Demanuele. "On spatio-temporal component selection in space-time independent component analysis: An application to ictal EEG." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334034.

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Kadah, Yasser M. "Spatio-temporal analysis of color Doppler information using independent component analysis." In Medical Imaging 2002, edited by Michael F. Insana and William F. Walker. SPIE, 2002. http://dx.doi.org/10.1117/12.462158.

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"A Framework for Developing Component-based Applications with Temporal Analysis Capabilities." In 7th International Conference on Software Paradigm Trends. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004023603150318.

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Звіти організацій з теми "Temporal component"

Baader, Franz, Silvio Ghilardi, and Carsten Lutz. LTL over Description Logic Axioms. Technische Universität Dresden, 2008. http://dx.doi.org/10.25368/2022.164.

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Most of the research on temporalized Description Logics (DLs) has concentrated on the case where temporal operators can occur within DL concept descriptions. In this setting, reasoning usually becomes quite hard if rigid roles, i.e., roles whose interpretation does not change over time, are available. In this paper, we consider the case where temporal operators are allowed to occur only in front of DL axioms (i.e., ABox assertions and general concept inclusion axioms), but not inside of concepts descriptions. As the temporal component, we use linear temporal logic (LTL) and in the DL component

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Datt, Gaurav, Ravisha Wellappuli, John Nguyen, Arturo Martinez, Jr., and Joseph Albert Nino Bulan. Measuring Persistent Effects of Circumstances and Inequality of Opportunity Using Panel Data. Asian Development Bank, 2024. http://dx.doi.org/10.22617/wps240318-2.

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This paper examines the evidence on inequality of opportunities or the component of inequality attributable to circumstances beyond a person’s control to help understand how socioeconomic inequalities persist over time. Current approaches to measuring inequality of opportunities mainly depend on analyses of cross-sectional survey data. Using panel data from Thailand and Viet Nam, this paper pioneers a dynamic approach to measuring inequality of opportunities and contributes to the understanding of inequality of opportunity’s temporal variations.

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Alves, Jose-Henrique, Roberto Padilla-Hernandez, Deanna Spindler, et al. Development of a wave model component in the first coupled Global Ensemble Forecast System at NOAA. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49784.

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We describe the development of the wave component in the first global-scale coupled operational forecast system using the Unified Forecasting System at NOAA, part of the U.S. National Weather Service operational forecasting suite. The operational implementation of the atmosphere–wave coupled Global Ensemble Forecast System, version 12, was a critical step in NOAA’s transition to the broader community based UFS framework. GEFSv12 represents a significant advancement, extending forecast ranges and empowering the NWS to deliver advanced weather predictions with extended lead times for high-impact

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Hart, Carl R., and Gregory W. Lyons. A Measurement System for the Study of Nonlinear Propagation Through Arrays of Scatterers. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/38621.

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Various experimental challenges exist in measuring the spatial and temporal field of a nonlinear acoustic pulse propagating through an array of scatterers. Probe interference and undesirable high-frequency response plague typical approaches with acoustic microphones, which are also limited to resolving the pressure field at a single position. Measurements made with optical methods do not have such drawbacks, and schlieren measurements are particularly well suited to measuring both the spatial and temporal evolution of nonlinear pulse propagation in an array of scatterers. Herein, a measurement

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Lauth, Timothy, David Biedenharn, Travis Dahl, et al. Technical assessment of the Old, Mississippi, Atchafalaya, and Red (OMAR) Rivers : geomorphic assessment. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45143.

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This report documents the geomorphic assessment component of the Old River, Mississippi River, Atchafalaya River, and Red River System Technical Assessment. The overall objectives of the geomorphic assessment are to utilize all available data to document the historic trends in hydrology, sedimentation, and channel geometry for the rivers in the vicinity of the Old River Control Complex and to summarize the changes observed at locations where repetitive datasets exist and at key reaches that are determined during the study. The geomorphic assessment tasks include data compilation, geometric dat

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Radvansky, Gabriel A. Comprehension and Memory of Spatial and Temporal Event Components. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada477371.

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Atkinson, Rob, ed. QB4ST: RDF Data Cube extensions for spatio-temporal components. Open Geospatial Consortium, Inc., 2020. http://dx.doi.org/10.62973/16-142.

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Холошин, Ігор Віталійович, Ірина Миколаївна Варфоломєєва, Олена Вікторівна Ганчук, Ольга Володимирівна Бондаренко, and Андрій Валерійович Пікільняк. Pedagogical techniques of Earth remote sensing data application into modern school practice. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/3257.

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Abstract. The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as g

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Kholoshyn, Ihor V., Iryna M. Varfolomyeyeva, Olena V. Hanchuk, Olga V. Bondarenko, and Andrey V. Pikilnyak. Pedagogical techniques of Earth remote sensing data application into modern school practice. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3262.

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The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as geography,

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Arango-Thomas, Luis Eduardo. Temporary and permanent components of Colombia's output. Banco de la República, 1998. http://dx.doi.org/10.32468/be.96.

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