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Статті в журналах з теми "Data use metrics"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Huebner, Alan, Jonathon R. Lever, Thomas W. Clark, et al. "Novel Use of Generalizability Theory to Optimize Countermovement Jump Data Collection." Sports 13, no. 3 (2025): 85. https://doi.org/10.3390/sports13030085.

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This study aimed to evaluate the reliability of countermovement jump (CMJ) performance metrics across five NCAA Division I varsity sports using Generalizability Theory (G-Theory). Three hundred male athletes from football, hockey, baseball, soccer, and lacrosse performed three or more CMJs on dual-force platforms. G-Theory was applied to identify variance components and determine reliability coefficients (Φ) for 14 key metrics. Metrics requiring more than three jumps to achieve Φ 0.80 were deemed unreliable. Metric reliability varied by sport and phase of movement. Metrics associated with the

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2

Normoyle, Aline, John Drake, Maxim Likhachev, and Alla Safonova. "Game-Based Data Capture for Player Metrics." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 8, no. 1 (2021): 44–50. http://dx.doi.org/10.1609/aiide.v8i1.12508.

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Player metrics are an invaluable resource for game designers and QA analysts who wish to understand players, monitor and improve game play, and test design hypotheses. Usually such metrics are collected in a straightforward manner by passively recording players; however, such an approach has several potential drawbacks. First, passive recording might fail to record metrics which correspond to an infrequent player behavior. Secondly, passive recording can be a costly, laborious, and memory intensive process, even with the aid of tools. In this paper, we explore the potential for an active appro

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3

Leung, Kelvin, Alexandre Cunha, A. W. Toga, and D. Stott Parker. "Developing Image Processing Meta-Algorithms with Data Mining of Multiple Metrics." Computational and Mathematical Methods in Medicine 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/383465.

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People often use multiple metrics in image processing, but here we take a novel approach of mining the values of batteries of metrics on image processing results. We present a case for extending image processing methods to incorporate automated mining of multiple image metric values. Here by a metric we mean any image similarity or distance measure, and in this paper we consider intensity-based and statistical image measures and focus on registration as an image processing problem. We show how it is possible to develop meta-algorithms that evaluate different image processing results with a num

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4

Bentley, Andrew. "Practical use of aggregator data quality metrics in a collection scenario." Biodiversity Information Science and Standards 2 (June 13, 2018): e25970. https://doi.org/10.3897/biss.2.25970.

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The recent incorporation of standardized data quality metrics into the GBIF, iDigBio, and ALA portal infrastructures enables data providers with useful information they can use to clean or augment Darwin Core data at the source based on these recommendations. Numerous taxonomic and geographic based metrics provide useful information on the quality of various Darwin Core fields in this realm, while also providing input on Darwin Core compliance for others. As a provider/data manager for the Biodiversity Institute, University of Kansas, and having spent some time evaluating their efficacy and re

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5

OLIINYK, VIACHESLAV, and VOLODYMYR LUKIN. "USE OF SIMILARITY METRICS IN ROBUST TIME DELAY ESTIMATION." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (2023): 224–30. http://dx.doi.org/10.31891/2307-5732-2023-319-1-224-230.

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This paper addresses the task of time delay and direction of arrival estimation for a source of the wideband signal using two sensors with fixed displacement. The peculiarity of the task statement is that a limited time of signal observation is supposed and additive noise is assumed non-Gaussian with a heavy-tail distribution. This leads to a high probability of abnormal estimates for the conventional signal processing method based on cross-correlation. To decrease this probability, it is proposed to reformulate the task of cross-correlation processing to the task of similarity estimation betw

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6

Rindal, Ole M. "The Myriad of metrics in medical ultrasound imaging; Which should we use?" Journal of the Acoustical Society of America 152, no. 4 (2022): A183. http://dx.doi.org/10.1121/10.0015966.

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Software beamforming allows flexible adaptive beamformers with great popularity and exponential growth in the number of papers published. Software beamforming can be a blessing to the image quality since access to raw channel data allows algorithms that better exploit the data. However, software beamforming can also be considered a curse, since the flexibility leads to non-linear algorithms that invalidate the conventional metrics used to evaluate the image quality. A review of the contrast metrics used in ultrasound imaging shows no consensus on the metrics used in the research literature. Mu

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7

Bentley, Andrew. "Practical use of aggregator data quality metrics in a collection scenario." Biodiversity Information Science and Standards 2 (June 13, 2018): e25970. http://dx.doi.org/10.3897/biss.2.25970.

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The recent incorporation of standardized data quality metrics into the GBIF, iDigBio, and ALA portal infrastructures enables data providers with useful information they can use to clean or augment Darwin Core data at the source based on these recommendations. Numerous taxonomic and geographic based metrics provide useful information on the quality of various Darwin Core fields in this realm, while also providing input on Darwin Core compliance for others. As a provider/data manager for the Biodiversity Institute, University of Kansas, and having spent some time evaluating their efficacy and re

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8

El Emam, Khaled, Lucy Mosquera, Xi Fang, and Alaa El-Hussuna. "Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study." JMIR Medical Informatics 10, no. 4 (2022): e35734. http://dx.doi.org/10.2196/35734.

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Background A regular task by developers and users of synthetic data generation (SDG) methods is to evaluate and compare the utility of these methods. Multiple utility metrics have been proposed and used to evaluate synthetic data. However, they have not been validated in general or for comparing SDG methods. Objective This study evaluates the ability of common utility metrics to rank SDG methods according to performance on a specific analytic workload. The workload of interest is the use of synthetic data for logistic regression prediction models, which is a very frequent workload in health re

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9

Dinesh, Thangaraju. "Standardized Enterprise Metrics: A Framework for Consistency and Efficiency through Federated Data Management." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 10, no. 5 (2022): 1–12. https://doi.org/10.5281/zenodo.15054637.

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In today's data-driven business landscape, organizations face the challenge of establishing a cohesive and consistent approach to measuring key performance indicators (KPIs) across the enterprise. This paper explores a framework for implementing standardized enterprise-level metrics through the use of unified data pipelines and a federated model of data domain ownership. Many organizations struggle with siloed data and fragmented reporting, leading to inconsistent metrics and a lack of a single source of truth. The proposed framework addresses this issue by establishing a centralized metrics c

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10

Pullan, Graham. "Making use of our data." Journal of the Global Power and Propulsion Society, May (May 25, 2021): 1–13. http://dx.doi.org/10.33737/jgpps/134645.

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Engineers are acquiring data at an ever-increasing rate: data from computational design studies; measurements data from manufacturing processes, development tests, and products in service; contemporary data and legacy data. In this paper, two recommendations are made to allow engineers to make better use of these expanding databases. First, we should build on the hierarchical nature of our data; we can navigate and filter the database using high level descriptors such as design specifications and performance metrics, and then request comparative plots of detailed data such as line, contour and

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11

Stephens, Simon, and Padraig Gallagher. "Metrics, metrics, metrics: the emergence of technological universities in Ireland." Quality Assurance in Education 30, no. 1 (2021): 19–31. http://dx.doi.org/10.1108/qae-04-2021-0060.

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Purpose This paper aims to explore the experiences, attitudes and expectations of higher education managers in relation to the increased use of metrics. Specifically, the authors examine a system of metrics which was introduced as part of the process for establishing Technological Universities in Ireland. Design/methodology/approach A total of 12 managers were interviewed. The authors present data from the interviews in which the authors explore: the previous use of metrics; the impacts of the introduction of metrics; and the future use of metrics. A mix of narrative structuring and thematic a

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12

Safari, Ashkan, Hoda Sorouri, Afshin Rahimi, and Arman Oshnoei. "A Systematic Review of Energy Efficiency Metrics for Optimizing Cloud Data Center Operations and Management." Electronics 14, no. 11 (2025): 2214. https://doi.org/10.3390/electronics14112214.

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Cloud Data Centers (CDCs) are an essential component of the infrastructure for powering the digital life of modern society, hosting and processing vast amounts of data and enabling services such as streaming, Artificial Intelligence (AI), and global connectivity. Given this importance, their energy efficiency is a top priority, as they consume significant amounts of electricity, contributing to operational costs and environmental impact. Efficient CDCs reduce energy waste, lower carbon footprints, and support sustainable growth in digital services. Consequently, energy efficiency metrics are u

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13

Shao, Shiwei, Mengting Yu, Yimin Huang, Yiheng Wang, Jing Tian, and Chang Ren. "Towards a Core Set of Landscape Metrics of Urban Land Use in Wuhan, China." ISPRS International Journal of Geo-Information 11, no. 5 (2022): 281. http://dx.doi.org/10.3390/ijgi11050281.

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In this study, we investigate the urban landscape patterns in Wuhan, China based on the land use data in the vector format. Using the approach of landscape metric analysis, we calculate forty-four vector-based landscape metrics and then reduce redundant ones through a combination of Spearman correlation analysis and factor analysis, in order to extract a core set of characterizing landscape metrics. We find that the urban landscape can be depicted by six factors including the overall shape and diversity, mean proximity, overall area variation, fragmentation variation, elongation variation, and

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14

Fu, Wen Qing, Sheng Gang Li, Harish Garg, Heng Liu, Ahmed Mostafa Khalil, and Jingjing Zhao. "An Easy-to-Understand Method to Construct Desired Distance-Like Measures." Complexity 2021 (July 8, 2021): 1–15. http://dx.doi.org/10.1155/2021/5571546.

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Metrics and their weaker forms are used to measure the difference between two data (or other things). There are many metrics that are available but not desired by a practitioner. This paper recommends in a plausible reasoning manner an easy-to-understand method to construct desired distance-like measures: to fuse easy-to-obtain (or easy to be coined by practitioners) pseudo-semi-metrics, pseudo-metrics, or metrics by making full use of well-known t-norms, t-conorms, aggregation operators, and similar operators (easy to be coined by practitioners). The simple reason to do this is that data for

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15

Nath, Pravin. "Taking measure: the link between metrics and marketing’s exploitative and explorative capabilities." European Journal of Marketing 54, no. 7 (2020): 1549–80. http://dx.doi.org/10.1108/ejm-01-2018-0050.

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Purpose While metrics are becoming increasingly important for marketing’s relevance, there is also a need to understand how they, as enablers of learning, affect marketing’s adaptive capabilities that ensure its long-term success. Therefore, this study aims to test the association of marketing and financial metrics use and the metric-based orientations of training and compensation, with two key marketing routines – exploitation, i.e. the perfecting of existing activities while allowing for incremental adaptations and exploration or experimentation accompanied by radical adaptation. Design/meth

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16

Chaouche, Sabrina, Yoann Randon, Faouzi Adjed, Nadira Boudjani, and Mohamed Ibn Khedher. "DQM: Data Quality Metrics for AI Components in the Industry." Proceedings of the AAAI Symposium Series 4, no. 1 (2024): 24–31. http://dx.doi.org/10.1609/aaaiss.v4i1.31767.

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In industrial settings, measuring the quality of data used to represent an intended domain of use and its operating conditions is crucial and challenging. Thus, this paper aims to present a set of metrics addressing this data quality issue in the form of a library, named DQM (Data Quality Metrics), for Machine Learning (ML) use. Additional metrics specific to industrial application are developed in the proposed library. This work aims also to assess various data and datasets types. Those metrics are used to characterize the training and evaluating datasets involved in the process of building M

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17

Alnahit, Ali O., Ashok K. Mishra, and Abdul A. Khan. "Evaluation of Various Land Use Metrics for Enhancing Stream Water Quality Predictions." Water 17, no. 6 (2025): 849. https://doi.org/10.3390/w17060849.

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Water quality in streams is primarily affected by various land use practices. This study analyzes water quality data collected from the outlets of 113 watersheds across three South Atlantic states in the USA. The objective is to evaluate the relationship between different land use metrics and long-term stream water quality, specifically investigating whether incorporating the spatial proximity of various land uses to the stream and outlet can enhance predictions of stream water quality. To achieve this, four distinct metrics were utilized to assess their influence on stream water quality. The

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18

Dawkins, Bryan A., Trang T. Le, and Brett A. McKinney. "Theoretical properties of distance distributions and novel metrics for nearest-neighbor feature selection." PLOS ONE 16, no. 2 (2021): e0246761. http://dx.doi.org/10.1371/journal.pone.0246761.

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The performance of nearest-neighbor feature selection and prediction methods depends on the metric for computing neighborhoods and the distribution properties of the underlying data. Recent work to improve nearest-neighbor feature selection algorithms has focused on new neighborhood estimation methods and distance metrics. However, little attention has been given to the distributional properties of pairwise distances as a function of the metric or data type. Thus, we derive general analytical expressions for the mean and variance of pairwise distances for Lq metrics for normal and uniform rand

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19

Drake, Janet M. "Social issues in the collection and use of software metric data position paper: Metrics: Promise vs. implementation." Computer Standards & Interfaces 21, no. 2 (1999): 177. http://dx.doi.org/10.1016/s0920-5489(99)92218-3.

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20

Sedov, Roman. "Data metrics in modern digital marketing." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 6, no. 1 (2025): 21–30. https://doi.org/10.52957/2782-1927-2025-6-1-21-30.

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The article defines the stages of digital marketing and highlights modern metrics for choosing data analysis tools. Currently, mobile Internet accounts for 80% of the total Internet traffic in the Russian Federation. The research emphasises the components of effective media planning, including return on investments, target audience, increasing brand awareness, and costs optimising. According to the statistics, there are different approaches to increasing sales of new trademarks (brands) via the mobile Internet. The research considers the issues of calculating the market share of a trading comp

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21

Yakovyna, Vitalii, and Bohdan Uhrynovskyi. "User-perceived Response Metrics in Android OS for Software Aging Detection." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 9 (June 10, 2021): 32–43. http://dx.doi.org/10.23939/sisn2021.09.032.

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Mobile systems and devices including Android are vulnerable to the effects of software aging which are manifested in performance degradation during long run-time. It is important to identify efficient system and user interface metrics for detecting and counteracting the software aging effects. The aging metrics used in researches of the Android operating system do not take into account the aging processes in user applications. Therefore, this paper discusses two new graphical user interface metrics that allow to track performance degradation and user applications response time: Frame Draw Time

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22

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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23

LEE, ALAN T. K., RES ALTWEGG, and PHOEBE BARNARD. "Estimating conservation metrics from atlas data: the case of southern African endemic birds." Bird Conservation International 27, no. 3 (2017): 323–36. http://dx.doi.org/10.1017/s0959270916000307.

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SummaryThe robust assessment of conservation status increasingly requires population metrics for species that may be little-researched, with no prospect of immediate improvement, but for which citizen science atlas data may exist. We explore the potential for bird atlas data to generate population metrics of use in red data assessment, using the endemic and near-endemic birds of southern Africa. This region, defined here as South Africa, Lesotho and Swaziland, is home to a large number of endemic bird species and an active atlas project. The Southern African Bird Atlas Projects (SABAP) 1 and 2

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24

Gutiérrez-Reina, Daniel, Vishal Sharma, Ilsun You, and Sergio Toral. "Dissimilarity Metric Based on Local Neighboring Information and Genetic Programming for Data Dissemination in Vehicular Ad Hoc Networks (VANETs)." Sensors 18, no. 7 (2018): 2320. http://dx.doi.org/10.3390/s18072320.

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This paper presents a novel dissimilarity metric based on local neighboring information and a genetic programming approach for efficient data dissemination in Vehicular Ad Hoc Networks (VANETs). The primary aim of the dissimilarity metric is to replace the Euclidean distance in probabilistic data dissemination schemes, which use the relative Euclidean distance among vehicles to determine the retransmission probability. The novel dissimilarity metric is obtained by applying a metaheuristic genetic programming approach, which provides a formula that maximizes the Pearson Correlation Coefficient

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25

Kim, Taiyun, Irene Rui Chen, Yingxin Lin, Andy Yi-Yang Wang, Jean Yee Hwa Yang, and Pengyi Yang. "Impact of similarity metrics on single-cell RNA-seq data clustering." Briefings in Bioinformatics 20, no. 6 (2018): 2316–26. http://dx.doi.org/10.1093/bib/bby076.

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Abstract Advances in high-throughput sequencing on single-cell gene expressions [single-cell RNA sequencing (scRNA-seq)] have enabled transcriptome profiling on individual cells from complex samples. A common goal in scRNA-seq data analysis is to discover and characterise cell types, typically through clustering methods. The quality of the clustering therefore plays a critical role in biological discovery. While numerous clustering algorithms have been proposed for scRNA-seq data, fundamentally they all rely on a similarity metric for categorising individual cells. Although several studies hav

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26

Dawson, C. W., N. J. Mount, R. J. Abrahart, and A. Y. Shamseldin. "Ideal point error for model assessment in data-driven river flow forecasting." Hydrology and Earth System Sciences 16, no. 8 (2012): 3049–60. http://dx.doi.org/10.5194/hess-16-3049-2012.

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Abstract. When analysing the performance of hydrological models in river forecasting, researchers use a number of diverse statistics. Although some statistics appear to be used more regularly in such analyses than others, there is a distinct lack of consistency in evaluation, making studies undertaken by different authors or performed at different locations difficult to compare in a meaningful manner. Moreover, even within individual reported case studies, substantial contradictions are found to occur between one measure of performance and another. In this paper we examine the ideal point erro

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27

Saleem, Munaza, Lisa Cesario, Lisa Wilcox, et al. "Evaluating Metrics Applied to the Medical Science Liaison (MSL) Role: A Survey-Based Study of Canadian MSL Leaders." Therapeutic Innovation & Regulatory Science 55, no. 5 (2021): 954–65. http://dx.doi.org/10.1007/s43441-021-00291-y.

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Abstract Introduction Metrics utilized within the Medical Science Liaison (MSL) role are plentiful and traditionally quantitative. We sought to understand the current use and value of metrics applied to the MSL role, including the use of qualitative metrics. Methods We developed a list of 70 MSL leaders working in Canada, spanning 29 companies. Invitations were emailed Jun 16, 2020 and the 25-question online survey was open for 3 weeks. Questions were designed to assess demographics as well as how and why metrics are applied to the MSL role. Data analyses were descriptive. Results Responses we

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Aziz, Syed Rashid, Tamim Ahmed Khan, and Aamer Nadeem. "Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study." PeerJ Computer Science 7 (June 4, 2021): e563. http://dx.doi.org/10.7717/peerj-cs.563.

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Software Fault Prediction (SFP) assists in the identification of faulty classes, and software metrics provide us with a mechanism for this purpose. Besides others, metrics addressing inheritance in Object-Oriented (OO) are important as these measure depth, hierarchy, width, and overriding complexity of the software. In this paper, we evaluated the exclusive use, and viability of inheritance metrics in SFP through experiments. We perform a survey of inheritance metrics whose data sets are publicly available, and collected about 40 data sets having inheritance metrics. We cleaned, and filtered t

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29

QUAH, TONG-SENG. "AN IMPLEMENTATION OF METRICS EXTRACTION AND ANALYZER TOOL." International Journal on Artificial Intelligence Tools 16, no. 01 (2007): 121–28. http://dx.doi.org/10.1142/s0218213007003230.

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Nowadays, developers use N-tier application architecture which is a flexible and reusable structure for distribution to any number of client interfaces. In this study, we have implemented metrics extraction and analyzer tool for Business Tier and Data Access Tier source codes. We used existing object-oriented metrics and complexity software metrics as proposed for Business Tier code1,3. We use a set of metrics for the Data Access Tier that has been proposed in our previous study2. The primary aim of the implementation of the metric extraction and analyzer tool is to facilitate generation of so

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30

Hippen, Ariel A., Matias M. Falco, Lukas M. Weber, et al. "miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data." PLOS Computational Biology 17, no. 8 (2021): e1009290. http://dx.doi.org/10.1371/journal.pcbi.1009290.

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Single-cell RNA-sequencing (scRNA-seq) has made it possible to profile gene expression in tissues at high resolution. An important preprocessing step prior to performing downstream analyses is to identify and remove cells with poor or degraded sample quality using quality control (QC) metrics. Two widely used QC metrics to identify a ‘low-quality’ cell are (i) if the cell includes a high proportion of reads that map to mitochondrial DNA (mtDNA) encoded genes and (ii) if a small number of genes are detected. Current best practices use these QC metrics independently with either arbitrary, unifor

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Bocu, Razvan, Anca Vasilescu, and Delia Monica Duca Iliescu. "Personal Health Metrics Data Management Using Symmetric 5G Data Channels." Symmetry 14, no. 7 (2022): 1387. http://dx.doi.org/10.3390/sym14071387.

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The integrated collection of personal health data represents a relevant research topic, which is enhanced further by the development of next-generation mobile networks that can be used in order to transport the acquired medical data. The gathering of personal health data has become recently feasible using relevant wearable personal devices. Nevertheless, these devices do not possess sufficient computational power, and do not offer proper local data storage capabilities. This paper presents an integrated personal health metrics data management system, which considers a virtualized symmetric 5G

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Willems, Iris, Vera Verbestel, Dorothea Dumuid, Patrick Calders, Bruno Lapauw, and Marieke De Craemer. "A comparative analysis of 24-hour movement behaviors features using different accelerometer metrics in adults: Implications for guideline compliance and associations with cardiometabolic health." PLOS ONE 19, no. 9 (2024): e0309931. http://dx.doi.org/10.1371/journal.pone.0309931.

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Background Movement behavior features such as time use estimates, average acceleration and intensity gradient are crucial in understanding associations with cardiometabolic health. The aim of this study was to 1) compare movement behavior features processed by commonly used accelerometer metrics among adults (i.e. Euclidian Norm Minus One (ENMO), Mean Amplitude Deviation (MAD) and counts per minute (CPM)), 2) investigate the impact of accelerometer metrics on compliance with movement behavior guidelines, and 3) explore potential variations in the association between movement behavior features

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Wibawa, Putu Widyantara Artanta, and Cokorda Pramartha. "Systematic Literature Review: Machine Learning Methods in Emotion Classification in Textual Data." Jurnal Sisfokom (Sistem Informasi dan Komputer) 12, no. 3 (2023): 425–33. http://dx.doi.org/10.32736/sisfokom.v12i3.1787.

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Emotions are a person's response to an event. Emotions can be expressed verbally or nonverbally. Over time people can express their emotions through social media. Considering that emotion is a reflection of society's response, it is important to classify emotions in society to find out the community's response as information for consideration in decision-making. This study is aimed to identify and analyze the datasets, methods, and evaluation metrics that are being used in the classification of emotional texts in textual data from research data from 2013 to 2022. Based on the inclusion and exc

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Słomska-Przech, Katarzyna, and Izabela Małgorzata Gołębiowska. "Do Different Map Types Support Map Reading Equally? Comparing Choropleth, Graduated Symbols, and Isoline Maps for Map Use Tasks." ISPRS International Journal of Geo-Information 10, no. 2 (2021): 69. http://dx.doi.org/10.3390/ijgi10020069.

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It is acknowledged that various types of thematic maps emphasize different aspects of mapped phenomena and thus support different map users’ tasks. To provide empirical evidence, a user study with 366 participants was carried out comparing three map types showing the same input data. The aim of the study is to compare the effect of using choropleth, graduated symbols, and isoline maps to solve basic map user tasks. Three metrics were examined: two performance metrics (answer accuracy and time) and one subjective metric (difficulty). The results showed that the performance metrics differed betw

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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 (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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Beal, Lauren L., Jacob M. Kolman, Stephen L. Jones, Aroub Khleif, and Terri Menser. "Quantifying Patient Portal Use: Systematic Review of Utilization Metrics." Journal of Medical Internet Research 23, no. 2 (2021): e23493. http://dx.doi.org/10.2196/23493.

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Background Use of patient portals has been associated with positive outcomes in patient engagement and satisfaction. Portal studies have also connected portal use, as well as the nature of users’ interactions with portals, and the contents of their generated data to meaningful cost and quality outcomes. Incentive programs in the United States have encouraged uptake of health information technology, including patient portals, by setting standards for meaningful use of such technology. However, despite widespread interest in patient portal use and adoption, studies on patient portals differ in a

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Nogales, Alberto, Miguel Angel Sicilia-Urban, and Elena García-Barriocanal. "Measuring vocabulary use in the Linked Data Cloud." Online Information Review 41, no. 2 (2017): 252–71. http://dx.doi.org/10.1108/oir-06-2015-0183.

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Purpose This paper reports on a quantitative study of data gathered from the Linked Open Vocabularies (LOV) catalogue, including the use of network analysis and metrics. The purpose of this paper is to gain insights into the structure of LOV and the use of vocabularies in the Web of Data. It is important to note that not all the vocabularies in it are registered in LOV. Given the de-centralised and collaborative nature of the use and adoption of these vocabularies, the results of the study can be used to identify emergent important vocabularies that are shaping the Web of Data. Design/methodol

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Kreizenbeck, Karma L., Catherine R. Fedorenko, Teah Hoopes, et al. "Regional initiative to use data transparency to improve cancer care." Journal of Clinical Oncology 34, no. 7_suppl (2016): 39. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.39.

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39 Background: In the context of many initiatives aimed at measuring quality and value in cancer care, the Hutchinson Institute for Cancer Outcomes Research (HICOR) has adopted a multi-stakeholder approach to characterize oncology care, prioritize areas for improvement, design programs, and evaluate outcomes. Beginning in 2014, HICOR initiated a process to move towards data transparency in the reporting of regional quality and value metrics. Methods: The HICOR team constructed clinic-level adherence reports for community-prioritized metrics and the 2012 ASCO Choosing Wisely recommendations usi

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Suir, Glenn M., Sam Jackson, Christina Saltus, and Molly Reif. "Multi-Temporal Trend Analysis of Coastal Vegetation Using Metrics Derived from Hyperspectral and LiDAR Data." Remote Sensing 15, no. 8 (2023): 2098. http://dx.doi.org/10.3390/rs15082098.

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Monitoring and modeling of coastal vegetation and wetland systems are considered major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properti

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Moretto, Nicole, Michelle Stute, Sonia Sam, et al. "A uniform data set for determining outcomes in allied health primary contact services in Australia." Australian Journal of Primary Health 26, no. 1 (2020): 58. http://dx.doi.org/10.1071/py18104.

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The project aim was to develop and implement a set of metrics to capture and demonstrate the performance of newly established allied health primary contact services. Selection of the metrics and performance indicators was guided by an existing state-wide data collection system and from a review of the published literature. The metrics were refined after consultation with a working group of health service managers and clinicians. The data collection and reporting framework were developed for use in allied health primary contact services and implemented at public health facilities in Queensland,

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Erbisti, Bruno, David Kohan Marzagão, and Vanessa Braganholo. "An extension to Kendall’s Tau metric to evaluate dissimilarities between data series." Journal of the Brazilian Computer Society 30, no. 1 (2024): 286–96. http://dx.doi.org/10.5753/jbcs.2024.2803.

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Data analysis is performed to examine, interpret, and extract information from data series, and it includes applying various methods and techniques to understand patterns and compare data. An approach to compare data is to use rank metrics that help identify how distinct two data series are when compared to each other according to patterns, formats, criteria, and dimensions in both data series. Among these metrics, Kendall’s Tau metric stands out, as it is robust and inexpensive, widely used in analyzing sequences and genomes, to detect errors in flash memories, and to compare distributions an

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Leng, Yong Lin. "Incomplete Big Data Distributed Clustering." Applied Mechanics and Materials 687-691 (November 2014): 1496–99. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1496.

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Partially missing or blurring attribute values make data become incomplete during collecting data. Generally we use inputation or discarding method to deal with incomplete data before clustering. In this paper we proposed an a new similarity metrics algorithm based on incomplete information system. First algorithm divided the data set into a complete data set and non complete data set, and then the complete data set was clustered using the affinity propagation clustering algorithm, incomplete data according to the design method of the similarity metric is divided into the corresponding cluster

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Samantaray, Alok K., Priscilla A. Mooney, and Carla A. Vivacqua. "Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations." Geoscientific Model Development 17, no. 8 (2024): 3321–39. http://dx.doi.org/10.5194/gmd-17-3321-2024.

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Abstract. Error metrics are useful for evaluating model performance and have been used extensively in climate change studies. Despite the abundance of error metrics in the literature, most studies use only one or two metrics. Since each metric evaluates a specific aspect of the relationship between the reference data and model data, restricting the comparison to just one or two metrics limits the range of insights derived from the analysis. This study proposes a new framework and composite error metrics called Bergen metrics to summarize the overall performance of climate models and to ease in

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Sapitri, Ni Kadek Emik, Umu Sa’adah, and Nur Shofianah. "Knowledge Discovery from Confusion Matrix of Pruned CART in Imbalanced Microarray Data Ovarian Cancer Classification." Scientific Journal of Informatics 11, no. 1 (2024): 227–36. http://dx.doi.org/10.15294/sji.v11i1.50077.

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Purpose: The results of microarray data analysis is important in cancer diagnosis, especially in early stages asymptomatic cancers like ovarian cancer. One of the challenges in analyzing microarray data is the problem of imbalanced data. Unfortunately, research that carries out cancer classification from microarray data often ignores this challenge, so that it doesn’t use appropriate evaluation metrics. It makes the results biased towards the majority class. This study uses a popular evaluation metric “accuracy” and an evaluation metric that is suitable for imbalanced data “balanced accuracy (

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Bouida, Ahmed, Mustapha Khelifi, Mohammed Beladgham, and Fatima-Zohra Hamlili. "Monte Carlo Optimization of a Combined Image Quality Assessment for Compressed Images Evaluation." Traitement du Signal 38, no. 2 (2021): 281–89. http://dx.doi.org/10.18280/ts.380204.

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In image processing, using compression is very important in various applications, especially those using data quantities in transmission and storing. This importance becomes most required with the evolution of image quantities and the big data systems explosion. The image compression allows reducing the required binary volume of image data by encoding the image for transmission goal or database saving. The principal problem with image compression when reducing its size is the degradation that enters the image. This degradation can affect the quality of use of the compressed image. To evaluate

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Hill, Allen, and Julie Nantel. "Sensitivity of discrete symmetry metrics: Implications for metric choice." PLOS ONE 17, no. 5 (2022): e0268581. http://dx.doi.org/10.1371/journal.pone.0268581.

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Gait asymmetry is present in several pathological populations, including those with Parkinson’s disease, Huntington’s disease, and stroke survivors. Previous studies suggest that commonly used discrete symmetry metrics, which compare single bilateral variables, may not be equally sensitive to underlying effects of asymmetry, and the use of a metric with low sensitivity could result in unnecessarily low statistical power. The purpose of this study was to provide a comprehensive assessment of the sensitivity of commonly used discrete symmetry metrics to better inform design of future studies. Mo

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Shao, Chengcheng, Pengshuai Cui, Peng Xun, Yuxing Peng, and Xinwen Jiang. "Rank correlation between centrality metrics in complex networks: an empirical study." Open Physics 16, no. 1 (2018): 1009–23. http://dx.doi.org/10.1515/phys-2018-0122.

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Abstract Centrality is widely used to measure which nodes are important in a network. In recent decades, numerous metrics have been proposed with varying computation complexity. To test the idea that approximating a high-complexity metric by a low-complexity metric, researchers have studied the correlation between them. However, these works are based on Pearson correlation which is sensitive to the data distribution. Intuitively, a centrality metric is a ranking of nodes (or edges). It would be more reasonable to use rank correlation to do the measurement. In this paper, we use degree, a low-c

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Botella-Mascarell, Carmen, Joaquin Perez, Juan Soria, and Sandra Roger. "On the Use of Composite Indicators for Mobile Communications Network Management in Smart Sustainable Cities." Applied Sciences 11, no. 1 (2020): 181. http://dx.doi.org/10.3390/app11010181.

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Beyond 5G networks will be fundamental towards enabling sustainable mobile communication networks. One of the most challenging scenarios will be met in ultra-dense networks that are deployed in densely populated areas. In this particular case, mobile network operators should benefit from new assessment metrics and data science tools to ensure an effective management of their networks. In fact, incorporating architectures allowing a cognitive network management framework could simplify processes and enhance the network’s performance. In this paper, we propose the use of composite indicators bas

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KC, Yam Bahadur, Qijing Liu, Pradip Saud, Damodar Gaire, and Hari Adhikari. "Estimation of Above-Ground Forest Biomass in Nepal by the Use of Airborne LiDAR, and Forest Inventory Data." Land 13, no. 2 (2024): 213. http://dx.doi.org/10.3390/land13020213.

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Forests play a significant role in sequestering carbon and regulating the global carbon and energy cycles. Accurately estimating forest biomass is crucial for understanding carbon stock and sequestration, forest degradation, and climate change mitigation. This study was conducted to estimate above-ground biomass (AGB) and compare the accuracy of the AGB estimating models using LiDAR (light detection and ranging) data and forest inventory data in the central Terai region of Nepal. Airborne LiDAR data were collected in 2021 and made available by Nepal Ban Nigam Limited, Government of Nepal. Thir

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Baldassare, Daniel, Thomas Reichler, Piret Plink-Björklund, and Jacob Slawson. "Large uncertainty in observed estimates of tropical width from the meridional stream function." Weather and Climate Dynamics 4, no. 2 (2023): 531–41. http://dx.doi.org/10.5194/wcd-4-531-2023.

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Abstract. Recent Hadley cell expansion rate estimates vary substantially, as a multitude of methods and reanalysis datasets yield conflicting results. Among the many methods of estimating the Hadley cell width, the meridional-stream-function 500 hPa zero crossing is the most widely used, as it is directly related to the poleward edge of the Hadley cell (HC). Other common metrics use atmospheric phenomena associated with the HC as a proxy, for instance the zonal-surface-wind zero crossing. As each of these metrics requires different reanalysis data, each with varying error, the level of data-dr

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