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Journal articles on the topic 'Temporal metrics'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Foote, Mike. "Temporal variation in extinction risk and temporal scaling of extinction metrics." Paleobiology 20, no. 4 (1994): 424–44. http://dx.doi.org/10.1017/s0094837300012914.

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Many areas of paleobiological research require reliable extinction metrics. Branching-and-extinction simulations and data on Phanerozoic marine families and genera are used to investigate the relationship between interval length and commonly used extinction metrics. Normalization of extinction metrics for interval length is problematic, even when interval length is known without error, because normalization implicitly assumes some model of variation in extinction risk within an interval. If extinction risk within an interval were constant, or if it varied but played no role in the definition o

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Knight, Rachael-Anne. "Assessing the temporal reliability of rhythm metrics." Journal of the International Phonetic Association 41, no. 3 (November 11, 2011): 271–81. http://dx.doi.org/10.1017/s0025100311000326.

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Despite the current popularity of rhythm metrics, there has been relatively little work aimed at establishing their validity or reliability, important characteristics of any empirical measure. The current paper focuses on the stability, or temporal reliability, of rhythm metrics by establishing if they give consistent results for the same speakers, in the same task, on successive occasions. Four speakers of Southern British English were recorded reading ‘The North Wind and the Sun’ (NWS) passage on three consecutive days. Results indicated that some measures correlate more highly across time t

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Warren, Joshua L., Montserrat Fuentes, Amy H. Herring, and Peter H. Langlois. "Air Pollution Metric Analysis While Determining Susceptible Periods of Pregnancy for Low Birth Weight." ISRN Obstetrics and Gynecology 2013 (January 30, 2013): 1–9. http://dx.doi.org/10.1155/2013/387452.

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Multiple metrics to characterize air pollution are available for use in environmental health analyses in addition to the standard Air Quality System (AQS) pollution monitoring data. These metrics have complete spatial-temporal coverage across a domain and are therefore crucial in calculating pollution exposures in geographic areas where AQS monitors are not present. We investigate the impact that two of these metrics, output from a deterministic chemistry model (CMAQ) and from a spatial-temporal downscaler statistical model which combines information from AQS and CMAQ (DS), have on risk assess

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Ibadah, Nisrine, Khalid Minaoui, Mohammed Rziza, Mohammed Oumsis, and César Benavente-Peces. "Deep Validation of Spatial Temporal Features of Synthetic Mobility Models." Computers 7, no. 4 (December 16, 2018): 71. http://dx.doi.org/10.3390/computers7040071.

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This paper analyzes the most relevant spatial-temporal stochastic properties of benchmark synthetic mobility models. Each pattern suffers from various mobility flaws, as will be shown by the models’ validation. A set of metrics is used to describe mobility features, such as the speed decay problem, the density wave phenomenon, the spatial node distribution, and the average neighbor percentage. These metrics have already been validated for the random waypoint mobility model (RWPMM), but they have not yet been verified for other mobility patterns that are most frequently used. For this reason, t

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Victor, J. D., and K. P. Purpura. "Nature and precision of temporal coding in visual cortex: a metric-space analysis." Journal of Neurophysiology 76, no. 2 (August 1, 1996): 1310–26. http://dx.doi.org/10.1152/jn.1996.76.2.1310.

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1. We recorded single-unit and multi-unit activity in response to transient presentation of texture and grating patterns at 25 sites within the parafoveal representation of V1, V2, and V3 of two awake monkeys trained to perform a fixation task. In grating experiments, stimuli varied in orientation, spatial frequency, or both. In texture experiments, stimuli varied in contrast, check size, texture type, or pairs of these attributes. 2. To examine the nature and precision of temporal coding, we compared individual responses elicited by each set of stimuli in terms of two families of metrics. One

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George, Scott D., Daniel S. Stich, and Barry P. Baldigo. "Considerations of variability and power for long-term monitoring of stream fish assemblages." Canadian Journal of Fisheries and Aquatic Sciences 78, no. 3 (March 2021): 301–11. http://dx.doi.org/10.1139/cjfas-2020-0013.

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Little attention has been given to optimizing statistical power for monitoring stream fish assemblages. We explored the relationship between temporal variability and statistical power using 34 metrics from fish community data collected annually at six sites over 10 years via electrofishing. Metric variability differed by the life stage and group of species considered, use of abundance or mass data, and data standardization technique. Lower variability was associated with community data, abundance data, and time-based standardizations, while greater variability was associated with young-of-the-

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Stoller, Scott D., and Thang Bui. "Mining hierarchical temporal roles with multiple metrics." Journal of Computer Security 26, no. 1 (November 30, 2017): 121–42. http://dx.doi.org/10.3233/jcs-17989.

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Chockler, Hana, Orna Kupferman, and Moshe Y. Vardi. "Coverage metrics for temporal logic model checking*." Formal Methods in System Design 28, no. 3 (May 2006): 189–212. http://dx.doi.org/10.1007/s10703-006-0001-6.

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Ellenbogen, Michael I., Laura Prichett, Pamela T. Johnson, and Daniel J. Brotman. "Development of a Simple Index to Measure Overuse of Diagnostic Testing at the Hospital Level Using Administrative Data." Journal of Hospital Medicine 16, no. 2 (February 1, 2021): 77–83. http://dx.doi.org/10.12788/jhm.3547.

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OBJECTIVE: We developed a diagnostic overuse index that identifies hospitals with high levels of diagnostic intensity by comparing negative diagnostic testing rates for common diagnoses. METHODS: We prospectively identified candidate overuse metrics, each defined by the percentage of patients with a particular diagnosis who underwent a potentially unnecessary diagnostic test. We used data from seven states participating in the State Inpatient Databases. Candidate metrics were tested for temporal stability and internal consistency. Using mixed-effects ordinal regression and adjusting for region

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Yang, Chun Ting, Yang Liu, and Jing Yu. "Research on Video Sequences Quality Based on Motion Intensity." Applied Mechanics and Materials 20-23 (January 2010): 1476–81. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.1476.

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Perception video sequences quality metrics are of great potential benefit to the video industry, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Many researchers have focused on developing digital video sequences quality metrics which produce results that accurately emulate subjective responses. However, to be widely applicable a metric must also work over a wide range of quality, and be useful for in-service quality monitoring. We have developed novel video distortion metrics for video sequences. The temporal correlations of vid

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Gilinsky, Norman L., and Richard K. Bambach. "Asymmetrical patterns of origination and extinction in higher taxa." Paleobiology 13, no. 4 (1987): 427–45. http://dx.doi.org/10.1017/s0094837300009027.

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Using Sepkoski's compendium of fossil marine families (1982a, and updates), we have analyzed the changing pace of familial origination and extinction within 55 extinct and 44 extant higher taxa of marine organisms. Eight different metrics were calculated, and least-squares regression analysis was used to identify within-taxon trends in the data. All metrics and analyses gave essentially the same results. Origination metrics decline significantly with time during the histories of higher taxa, while extinction metrics increase significantly. The number of statistically significant declines of or

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Brasselet, Romain, Roland S. Johansson, and Angelo Arleo. "Quantifying Neurotransmission Reliability Through Metrics-Based Information Analysis." Neural Computation 23, no. 4 (April 2011): 852–81. http://dx.doi.org/10.1162/neco_a_00099.

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We set forth an information-theoretical measure to quantify neurotransmission reliability while taking into full account the metrical properties of the spike train space. This parametric information analysis relies on similarity measures induced by the metrical relations between neural responses as spikes flow in. Thus, in order to assess the entropy, the conditional entropy, and the overall information transfer, this method does not require any a priori decoding algorithm to partition the space into equivalence classes. It therefore allows the optimal parameters of a class of distances to be

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Keizer-Vlek, Hanneke E., Piet F. M. Verdonschot, Ralf C. M. Verdonschot, and Paul W. Goedhart. "Quantifying spatial and temporal variability of macroinvertebrate metrics." Ecological Indicators 23 (December 2012): 384–93. http://dx.doi.org/10.1016/j.ecolind.2012.04.025.

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Costa, André H. M., Helard Becerra Martinez, Daniel G. Silva, and Mylène C. Q. Farias. "Analyzing the effect of adding temporal features to an autoencoder-based video quality model." Electronic Imaging 2021, no. 9 (January 18, 2021): 261–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-261.

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According to Cisco, most Internet traffic is currently comprised of videos. Therefore, developing a quality assessment method for assuring that those videos are received and displayed with quality at the user side is an important and challenging task. As a consequence, over the last decades, several no-reference video quality metrics have been proposed with the goal of blindly predicting (with no access to the original signal) the quality of videos in streaming applications. One of such metrics is NAVE, whose architecture includes an auto-encoder module that produces a compact set of visual fe

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Hunt, Gene. "Measuring rates of phenotypic evolution and the inseparability of tempo and mode." Paleobiology 38, no. 3 (2012): 351–73. http://dx.doi.org/10.1666/11047.1.

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Rates of phenotypic evolution are central to many issues in paleontology, but traditional rate metrics such as darwins or haldanes are seldom used because of their strong dependence on interval length. In this paper, I argue that rates are usefully thought of as model parameters that relate magnitudes of evolutionary divergence to elapsed time. Starting with models of directional evolution, random walks, and stasis, I derive for each a reasonable rate metric. These metrics can be linked to existing approaches in evolutionary biology, and simulations show that they can be estimated accurately a

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Kovács, György, Gheorghe Sebestyen, and Anca Hangan. "Evaluation metrics for anomaly detection algorithms in time-series." Acta Universitatis Sapientiae, Informatica 11, no. 2 (December 1, 2019): 113–30. http://dx.doi.org/10.2478/ausi-2019-0008.

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Abstract Time-series are ordered sequences of discrete-time data. Due to their temporal dimension, anomaly detection techniques used in time-series have to take into consideration time correlations and other time-related particularities. Generally, in order to evaluate the quality of an anomaly detection technique, the confusion matrix and its derived metrics such as precision and recall are used. These metrics, however, do not take this temporal dimension into consideration. In this paper, we propose three metrics that can be used to evaluate the quality of a classification, while accounting

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Basharat, Aysha, Jeannette R. Mahoney, and Michael Barnett-Cowan. "Temporal Metrics of Multisensory Processing Change in the Elderly." Multisensory Research 32, no. 8 (December 11, 2019): 715–44. http://dx.doi.org/10.1163/22134808-20191458.

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Abstract Older adults exhibit greater multisensory response time (RT) facilitation by violating the race model more than young adults; this is commonly interpreted as an enhancement in perception. Older adults typically exhibit wider temporal binding windows (TBWs) and points of subjective simultaneity (PSS) that typically lie farther from true simultaneity as compared to young adults when simultaneity judgment (SJ) and temporal-order judgment (TOJ) tasks are utilized; this is commonly interpreted as an impairment in perception. Here we explore the relation between the three tasks in order to

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Park, J., J. Obeysekera, and J. Barnes. "Temporal energy partitions of Florida extreme sea level events as a function of Atlantic multidecadal oscillation." Ocean Science 6, no. 2 (June 15, 2010): 587–93. http://dx.doi.org/10.5194/os-6-587-2010.

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Abstract. An energy-conservative metric based on the discrete wavelet transform is applied to assess the relative energy distribution of extreme sea level events across different temporal scales. The metric is applied to coastal events at Key West and Pensacola Florida as a function of two Atlantic Multidecadal Oscillation (AMO) regimes. Under AMO warm conditions there is a small but significant redistribution of event energy from nearly static into more dynamic (shorter duration) timescales at Key West, while at Pensacola the AMO-dependent changes in temporal event behaviour are less pronounc

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Park, J., J. Obeysekera, and J. Barnes. "Temporal energy partitions of Florida extreme sea level events as a function of Atlantic multidecadal oscillation." Ocean Science Discussions 7, no. 2 (March 11, 2010): 501–19. http://dx.doi.org/10.5194/osd-7-501-2010.

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Abstract. An energy-conservative metric based on the discrete wavelet transform is applied to assess the relative energy distribution of non-stationary extreme sea level events across different temporal scales. The metric is applied to coastal events at Key West and Pensacola Florida as a function of two Atlantic Multidecadal Oscillation (AMO) regimes. Under AMO warm conditions there is a small but significant redistribution of event energy from nearly static into more dynamic timescales at Key West, while at Pensacola the AMO-dependent changes in temporal event behaviour are less pronounced.

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Vorobjev, Ivan, and Natasha S. Barteneva. "Temporal Heterogeneity Metrics in Apoptosis Induced by Anticancer Drugs." Journal of Histochemistry & Cytochemistry 63, no. 7 (April 2, 2015): 494–510. http://dx.doi.org/10.1369/0022155415583534.

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Marinovic, Welber, and Derek H. Arnold. "Separable temporal metrics for time perception and anticipatory actions." Proceedings of the Royal Society B: Biological Sciences 279, no. 1730 (September 7, 2011): 854–59. http://dx.doi.org/10.1098/rspb.2011.1598.

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Reliable estimates of time are essential for initiating interceptive actions at the right moment. However, our sense of time is surprisingly fallible. For instance, time perception can be distorted by prolonged exposure (adaptation) to movement. Here, we make use of this to determine if time perception and anticipatory actions rely on the same or on different temporal metrics. Consistent with previous reports, we find that the apparent duration of movement is mitigated by adaptation to more rapid motion, but is unchanged by adaptation to slower movement. By contrast, we find symmetrical effect

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Reynolds, Stephanie, Therese Abrahamsson, Per Jesper Sjöström, Simon R. Schultz, and Pier Luigi Dragotti. "CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging." Neural Computation 30, no. 10 (October 2018): 2726–56. http://dx.doi.org/10.1162/neco_a_01114.

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In recent years, the development of algorithms to detect neuronal spiking activity from two-photon calcium imaging data has received much attention, yet few researchers have examined the metrics used to assess the similarity of detected spike trains with the ground truth. We highlight the limitations of the two most commonly used metrics, the spike train correlation and success rate, and propose an alternative, which we refer to as CosMIC. Rather than operating on the true and estimated spike trains directly, the proposed metric assesses the similarity of the pulse trains obtained from convolu

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YANG, J. X., D. M. TAN, and H. R. WU. "AN IMPAIRMENT METRIC FOR VIDEO TEMPORAL FLUCTUATION MEASURE." International Journal of Image and Graphics 11, no. 02 (April 2011): 251–64. http://dx.doi.org/10.1142/s0219467811004081.

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Temporal fluctuations are often observed in digitally compressed videos. However, it is difficult to accurately measure these fluctuation intensities with the traditional peak signal-to-noise ratio (PSNR) since the PSNR only provides a generic quality measure. Although specialized metrics have been proposed for temporal fluctuation measurement, e.g., the sum of squared differences (SSD) and the motion compensated SSD (MCSSD), these first difference based algorithms may falsely treat smooth continuous change of pixel values as temporal fluctuations. To overcome this problem, a motion estimated

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Bazzi, Hassan, Nicolas Baghdadi, Mohammad El Hajj, Mehrez Zribi, Dinh Ho Tong Minh, Emile Ndikumana, Dominique Courault, and Hatem Belhouchette. "Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France." Remote Sensing 11, no. 7 (April 11, 2019): 887. http://dx.doi.org/10.3390/rs11070887.

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This study proposes an effective method to map rice crops using the Sentinel-1 SAR (Synthetic Aperture Radar) time series over the Camargue region, Southern France. First, the temporal behavior of the SAR backscattering coefficient over 832 plots containing different crop types was analyzed. Through this analysis, the rice cultivation was identified using metrics derived from the Gaussian profile of the VV/VH time series (3 metrics), the variance of the VV/VH time series (one metric), and the slope of the linear regression of the VH time series (one metric). Using the derived metrics, rice plo

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Rodríguez-Pupo, Luis, Carlos Granell, and Sven Casteleyn. "An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics." ISPRS International Journal of Geo-Information 8, no. 2 (January 26, 2019): 54. http://dx.doi.org/10.3390/ijgi8020054.

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In large-scale context-aware applications, a central design concern is capturing, managing and acting upon location and context data. The ability to understand the collected data and define meaningful contextual events, based on one or more incoming (contextual) data streams, both for a single and multiple users, is hereby critical for applications to exhibit location- and context-aware behaviour. In this article, we describe a context-aware, data-intensive metrics platform —focusing primarily on its geospatial support—that allows exactly this: to define and execute metrics, which capture mean

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Favorov, Oleg V., Eric Francisco, Jameson Holden, Olcay Kursun, Laila Zai, and Mark Tommerdahl. "Quantification of Mild Traumatic Brain Injury via Cortical Metrics: Analytical Methods." Military Medicine 184, Supplement_1 (March 1, 2019): 228–36. http://dx.doi.org/10.1093/milmed/usy411.

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Abstract Mild traumatic brain injuries are difficult to diagnose or assess with commonly used diagnostic methods. However, the functional state of cerebral cortical networks can be rapidly and effectively probed by measuring tactile-based sensory percepts (called cortical metrics), which are designed to exercise various components of cortical machinery. In this study, such cortical metrics were obtained from 52 college students before and after they experienced sports-related concussions by delivering vibrotactile stimuli to the index and middle fingertips. Performance on four of the sensory t

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Fernandes, Rui, and M. T. Andrade. "Multimedia Content Classification Metrics for Content Adaptation." U.Porto Journal of Engineering 2, no. 2 (March 20, 2018): 14–25. http://dx.doi.org/10.24840/2183-6493_002.002_0003.

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Multimedia content consumption is very popular nowadays. However, not every content can be consumed in its original format: the combination of content, transport and access networks, consumption device and usage environment characteristics may all pose restrictions to that purpose. One way to provide the best possible quality to the user is to adapt the content according to these restrictions as well as user preferences. This adaptation stage can be best executed if knowledge about the content is known a-priori. In order to provide this knowledge we classify the content based on metrics to def

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BACCI, GIORGIO, GIOVANNI BACCI, KIM G. LARSEN, and RADU MARDARE. "Converging from branching to linear metrics on Markov chains." Mathematical Structures in Computer Science 29, no. 1 (July 25, 2017): 3–37. http://dx.doi.org/10.1017/s0960129517000160.

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We study two well-known linear-time metrics on Markov chains (MCs), namely, the strong and strutter trace distances. Our interest in these metrics is motivated by their relation to the probabilistic linear temporal logic (LTL)-model checking problem: we prove that they correspond to the maximal differences in the probability of satisfying the same LTL and LTL−X(LTL without next operator) formulas, respectively.The threshold problem for these distances (whether their value exceeds a given threshold) is NP-hard and not known to be decidable. Nevertheless, we provide an approximation schema where

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Liem, Alyssa T., and James G. McDaniel. "Improvement of acoustic and vibration models by temporal error metrics." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3834. http://dx.doi.org/10.1121/1.4988521.

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Fernandes, Bianca, and Ligia Batista. "Spatial-Temporal Analysis of the Forest Fragments Surrounding a Conservation Unit in the Southern Region of Brazil." Environmental Sciences Proceedings 3, no. 1 (November 11, 2020): 48. http://dx.doi.org/10.3390/environsciproc3010048.

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In recent years, anthropogenic actions have intensified forest fragmentation, causing several damages to the landscape’s natural components, propagating the loss of biodiversity. This study aims to present an analysis of the forest fragments in a conservation unit located at southern of Brazil. The evaluation was carried out for the years 1998, 2008, and 2018, by using landscape metrics and classification of remote sensing imagery of the Landsat satellite. The following metrics were analyzed: area and edge, shape, core area, and aggregation. The results indicated an increase of 16.88% in the t

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Fernandes, Bianca, and Ligia Batista. "Spatial-Temporal Analysis of the Forest Fragments Surrounding a Conservation Unit in the Southern Region of Brazil." Environmental Sciences Proceedings 3, no. 1 (November 11, 2020): 48. http://dx.doi.org/10.3390/iecf2020-07876.

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In recent years, anthropogenic actions have intensified forest fragmentation, causing several damages to the landscape’s natural components, propagating the loss of biodiversity. This study aims to present an analysis of the forest fragments in a conservation unit located at southern of Brazil. The evaluation was carried out for the years 1998, 2008, and 2018, by using landscape metrics and classification of remote sensing imagery of the Landsat satellite. The following metrics were analyzed: area and edge, shape, core area, and aggregation. The results indicated an increase of 16.88% in the t

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Cordue, P. L. "Fishing intensity metrics for use in overfishing determination." ICES Journal of Marine Science 69, no. 4 (February 27, 2012): 615–23. http://dx.doi.org/10.1093/icesjms/fss036.

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Abstract Cordue, P. L. 2012. Fishing intensity metrics for use in overfishing determination. – ICES Journal of Marine Science, 69: 615–623. The issue of constructing a technically correct fishing intensity metric from the output of a stock assessment model is considered. Four metrics of annual overall “fishing intensity” are defined. The metrics are applicable to age- or length-structured stock assessment models, which may, or may not, include complex spatial and temporal structure in the population and the fisheries. Two of the metrics are termed “direct” as they are calculated from the model

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Guillaume, Alain, Laurent Goffart, and Denis Pélisson. "Learning from cerebellar lesions about the temporal and spatial aspects of saccadic control." Behavioral and Brain Sciences 22, no. 4 (August 1999): 687–88. http://dx.doi.org/10.1017/s0140525x99352158.

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In the model proposed by Findlay & Walker, the programming of saccadic eye movements is achieved by two parallel processes, one dedicated to the coding of saccade metrics (Where) and the other controlling saccade initiation (When). One outcome of the “winner-take-all” characteristics of the salience map, the main node of the model, is an independence between the metrics and the latency of saccades. We report on some observations, made in the head-unrestrained cat under pathological conditions, of a correlation between accuracy and latency of saccadic gaze shifts. To account for such a corr

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Zhang, Shengchao, Liam J. Spoletini, Benjamin P. Gold, Victoria L. Morgan, Baxter P. Rogers, and Catie Chang. "Interindividual Signatures of fMRI Temporal Fluctuations." Cerebral Cortex 31, no. 10 (April 26, 2021): 4450–63. http://dx.doi.org/10.1093/cercor/bhab099.

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Abstract The complexity and variability of human brain activity, such as quantified from Functional Magnetic Resonance Imaging (fMRI) time series, have been widely studied as potential markers of healthy and pathological states. However, the extent to which fMRI temporal features exhibit stable markers of inter-individual differences in brain function across healthy young adults is currently an open question. In this study, we draw upon two widely used time-series measures—a nonlinear complexity measure (sample entropy; SampEn) and a spectral measure of low-frequency content (fALFF)—to capture

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Gaye, Bamba, Gabriel S. Tajeu, Lucile Offredo, Maxime Vignac, Stacey Johnson, Frédérique Thomas, and Xavier Jouven. "Temporal trends of cardiovascular health factors among 366 270 French adults." European Heart Journal - Quality of Care and Clinical Outcomes 6, no. 2 (July 22, 2019): 138–46. http://dx.doi.org/10.1093/ehjqcco/qcz038.

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Abstract Aims We aimed to investigate time trends in cardiovascular health (CVH) metrics in the population at large, as well as in important subgroups. Methods and results In this study, we used a community-based sample of 366 270 adults from France who had a standardized examination to assess cardiovascular risk factors between 1992 and 2011 (20 years). Cardiovascular health metrics categorized into ideal, intermediate, and poor categories were computed using smoking, physical activity, body mass index, total cholesterol, blood glucose, and blood pressure. Matching on age, sex, and depression

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Gough, Albert, Andrew M. Stern, John Maier, Timothy Lezon, Tong-Ying Shun, Chakra Chennubhotla, Mark E. Schurdak, Steven A. Haney, and D. Lansing Taylor. "Biologically Relevant Heterogeneity: Metrics and Practical Insights." SLAS DISCOVERY: Advancing the Science of Drug Discovery 22, no. 3 (January 6, 2017): 213–37. http://dx.doi.org/10.1177/2472555216682725.

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Heterogeneity is a fundamental property of biological systems at all scales that must be addressed in a wide range of biomedical applications, including basic biomedical research, drug discovery, diagnostics, and the implementation of precision medicine. There are a number of published approaches to characterizing heterogeneity in cells in vitro and in tissue sections. However, there are no generally accepted approaches for the detection and quantitation of heterogeneity that can be applied in a relatively high-throughput workflow. This review and perspective emphasizes the experimental method

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Koch, Julian, Mehmet Cüneyd Demirel, and Simon Stisen. "The SPAtial EFficiency metric (SPAEF): multiple-component evaluation of spatial patterns for optimization of hydrological models." Geoscientific Model Development 11, no. 5 (May 15, 2018): 1873–86. http://dx.doi.org/10.5194/gmd-11-1873-2018.

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Abstract. The process of model evaluation is not only an integral part of model development and calibration but also of paramount importance when communicating modelling results to the scientific community and stakeholders. The modelling community has a large and well-tested toolbox of metrics to evaluate temporal model performance. In contrast, spatial performance evaluation does not correspond to the grand availability of spatial observations readily available and to the sophisticate model codes simulating the spatial variability of complex hydrological processes. This study makes a contribu

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Bodrogi, P., QT Vinh, and TQ Khanh. "Correlations among lighting quality metrics for interior lighting." Lighting Research & Technology 51, no. 8 (December 18, 2018): 1192–207. http://dx.doi.org/10.1177/1477153518818856.

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Correlations between selected lighting quality metrics derived from the spectrum were computed and interpreted for a representative set of interior light source spectra. Metrics of brightness and the melanopic effect were strongly correlated with each other but not with the metrics of colour quality. Results can be used to establish a two-dimensional diagram with criterion values to ensure the general user acceptance of a lighting system. This diagram can be extended in the future by further metrics describing light intensity and spatial and temporal light distributions. Relationships between

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Duncan, P. H. "The effect of temporal image filters on observer-dependent contrast metrics." IEEE Transactions on Image Processing 6, no. 4 (April 1997): 617–21. http://dx.doi.org/10.1109/83.563328.

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Danilo de Miranda Regis, Carlos, Italo de Pontes Oliveira, Jose Vinicius de Miranda Cardoso, and Marcelo Sampaio de Alencar. "Design of Objective Video Quality Metrics Using Spatial and Temporal Informations." IEEE Latin America Transactions 13, no. 3 (March 2015): 790–95. http://dx.doi.org/10.1109/tla.2015.7069106.

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Eicher-Miller, Heather A., Saul Gelfand, Youngha Hwang, Edward Delp, Anindya Bhadra, and Jiaqi Guo. "Distance metrics optimized for clustering temporal dietary patterning among U.S. adults." Appetite 144 (January 2020): 104451. http://dx.doi.org/10.1016/j.appet.2019.104451.

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Pedersen, Mangor, Amir Omidvarnia, Jennifer M. Walz, Andrew Zalesky, and Graeme D. Jackson. "Spontaneous brain network activity: Analysis of its temporal complexity." Network Neuroscience 1, no. 2 (June 2017): 100–115. http://dx.doi.org/10.1162/netn_a_00006.

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The brain operates in a complex way. The temporal complexity underlying macroscopic and spontaneous brain network activity is still to be understood. In this study, we explored the brain’s complexity by combining functional connectivity, graph theory, and entropy analyses in 25 healthy people using task-free functional magnetic resonance imaging. We calculated the pairwise instantaneous phase synchrony between 8,192 brain nodes for a total of 200 time points. This resulted in graphs for which time series of clustering coefficients (the “cliquiness” of a node) and participation coefficients (th

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Chadha, Aman, John Britto, and M. Mani Roja. "iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks." Computational Visual Media 6, no. 3 (July 20, 2020): 307–17. http://dx.doi.org/10.1007/s41095-020-0175-7.

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Abstract Recently, learning-based models have enhanced the performance of single-image super-resolution (SISR). However, applying SISR successively to each video frame leads to a lack of temporal coherency. Convolutional neural networks (CNNs) outperform traditional approaches in terms of image quality metrics such as peak signal to noise ratio (PSNR) and structural similarity (SSIM). On the other hand, generative adversarial networks (GANs) offer a competitive advantage by being able to mitigate the issue of a lack of finer texture details, usually seen with CNNs when super-resolving at large

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Behrman, Alison, Sarah Hargus Ferguson, Ali Akhund, and Mariola Moeyaert. "The Effect of Clear Speech on Temporal Metrics of Rhythm in Spanish-Accented Speakers of English." Language and Speech 62, no. 1 (November 7, 2017): 5–29. http://dx.doi.org/10.1177/0023830917737109.

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This paper presents a comparative analysis of temporal rhythm in native American English talkers and Spanish-accented English talkers producing clear (hyperarticulated) speech and typical, conversational-style speech. Five acoustic measures of comparative vocalic and consonantal interval duration (“temporal metrics”) were obtained from speech samples of 40 adult men and women (half native and half Spanish-accented talkers). In conversational-style speech, vocalic-based metrics differed significantly between native and Spanish-accented talkers, consistent with phonotactic differences between th

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Rife, Daran L., and Christopher A. Davis. "Verification of Temporal Variations in Mesoscale Numerical Wind Forecasts." Monthly Weather Review 133, no. 11 (November 1, 2005): 3368–81. http://dx.doi.org/10.1175/mwr3052.1.

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Abstract The authors address a particular example of the general question of whether high-resolution forecasts provide additional deterministic skill beyond what can be achieved with a coarser-resolution model. To this end, real-time forecasts using the fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5) with grid increments of 30 and 3.3 km are compared over a domain centered on the complex terrain region of southern New Mexico during the 1 June 2002 to 1 June 2003 period. The authors use time series of surface data to evaluate the relative ability of the two forecasts t

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Chen, C. F., N. T. Son, C. R. Chen, L. Y. Chang, and S. H. Chiang. "RICE CROP MAPPING USING SENTINEL-1A PHENOLOGICAL METRICS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 863–65. http://dx.doi.org/10.5194/isprsarchives-xli-b8-863-2016.

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Rice is the most important food crop in Vietnam, providing food more than 90 million people and is considered as an essential source of income for majority of rural populations. Monitoring rice-growing areas is thus important to developing successful strategies for food security in the country. This paper aims to develop an approach for crop acreage estimation from multi-temporal Sentinel-1A data. We processed the data for two main cropping seasons (e.g., winter–spring, summer–autumn) in the Mekong River Delta (MRD), Vietnam through three main steps: (1) data pre-processing, (3) rice classific

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Chen, C. F., N. T. Son, C. R. Chen, L. Y. Chang, and S. H. Chiang. "RICE CROP MAPPING USING SENTINEL-1A PHENOLOGICAL METRICS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 863–65. http://dx.doi.org/10.5194/isprs-archives-xli-b8-863-2016.

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Rice is the most important food crop in Vietnam, providing food more than 90 million people and is considered as an essential source of income for majority of rural populations. Monitoring rice-growing areas is thus important to developing successful strategies for food security in the country. This paper aims to develop an approach for crop acreage estimation from multi-temporal Sentinel-1A data. We processed the data for two main cropping seasons (e.g., winter–spring, summer–autumn) in the Mekong River Delta (MRD), Vietnam through three main steps: (1) data pre-processing, (3) rice classific

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Champion, Curtis, Alistair J. Hobday, Xuebin Zhang, Gretta T. Pecl, and Sean R. Tracey. "Changing windows of opportunity: past and future climate-driven shifts in temporal persistence of kingfish (Seriola lalandi) oceanographic habitat within south-eastern Australian bioregions." Marine and Freshwater Research 70, no. 1 (2019): 33. http://dx.doi.org/10.1071/mf17387.

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Climate-driven shifts in species distributions are occurring rapidly within marine systems and are predicted to continue under climate change. To effectively adapt, marine resource users require information relevant to their activities at decision-making timescales. We model oceanographic habitat suitability for kingfish (Seriola lalandi) from south-eastern Australia using multiple environmental variables at monthly time steps over the period 1996–2040. Habitat predictions were used to quantify the temporal persistence (months per year) of suitable oceanographic habitat within six coastal bior

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Dechaicha, Assoule, Adel Daikh, and Djamel Alkama. "Monitoring and Landscape Quantification of Uncontrolled Urbanisation in Oasis Regions: The Case of Adrar City in Algeria." Journal of Contemporary Urban Affairs 5, no. 2 (July 12, 2021): 209–19. http://dx.doi.org/10.25034/ijcua.2021.v5n2-5.

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Nowadays, uncontrolled urbanisation is one of the major problems facing Algerian oasis regions. The monitoring and evaluation of its landscape transformations remain a key step for any oasis sustainability project. This study highlights the evolution of spatial growth in the city of Adrar in southern Algeria during the period 1986-2016 by establishing a Spatio-temporal mapping and landscape quantification. The methodological approach is based on a multi-temporal analysis of Landsat satellite images for 1986, 1996, 2006 and 2016, and the application of landscape metrics. The results show two op

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Dubois, C., M. M. Mueller, C. Pathe, T. Jagdhuber, F. Cremer, C. Thiel, and C. Schmullius. "CHARACTERIZATION OF LAND COVER SEASONALITY IN SENTINEL-1 TIME SERIES DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 97–104. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-97-2020.

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Abstract. In this study, we analyze Sentinel-1 time series data to characterize the observed seasonality of different land cover classes in eastern Thuringia, Germany and to identify multi-temporal metrics for their classification. We assess the influence of different polarizations and different pass directions on the multi-temporal backscatter profile. The novelty of this approach is the determination of phenological parameters, based on a tool that has been originally developed for optical imagery. Furthermore, several additional multitemporal metrics are determined for the different classes

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