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Artykuły w czasopismach na temat „Performance metrics”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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Mary, A. Viji Amutha, and Dr T. Jebarajan Dr. T. Jebarajan. "Performance Metrics of Clustering Algorithm." Indian Journal of Applied Research 4, no. 8 (2011): 165–67. http://dx.doi.org/10.15373/2249555x/august2014/47.

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Pijpers, Frank P. "Performance metrics." Astronomy & Geophysics 47, no. 6 (2006): 6.17–6.18. http://dx.doi.org/10.1111/j.1468-4004.2006.47617.x.

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M. Taaffe, Kevin, Robert William Allen, and Lindsey Grigg. "Performance metrics analysis for aircraft maintenance process control." Journal of Quality in Maintenance Engineering 20, no. 2 (2014): 122–34. http://dx.doi.org/10.1108/jqme-07-2012-0022.

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Purpose – Performance measurements or metrics are that which measure a company's performance and behavior, and are used to help an organization achieve and maintain success. Without the use of performance metrics, it is difficult to know whether or not the firm is meeting requirements or making desired improvements. During the course of this study with Lockheed Martin, the research team was tasked with determining the effectiveness of the site's existing performance metrics that are used to help an organization achieve and maintain success. Without the use of performance metrics, it is difficu

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Nochur, A., H. Vedam, and J. Koene. "Alarm Performance Metrics." IFAC Proceedings Volumes 34, no. 27 (2001): 203–8. http://dx.doi.org/10.1016/s1474-6670(17)33592-9.

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Loo, Jessica, Traci E. Clemons, Emily Y. Chew, Martin Friedlander, Glenn J. Jaffe, and Sina Farsiu. "Beyond Performance Metrics." Ophthalmology 127, no. 6 (2020): 793–801. http://dx.doi.org/10.1016/j.ophtha.2019.12.015.

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DeLozier, Randall, and Neil Snyder. "ENGINEERING PERFORMANCE METRICS." INCOSE International Symposium 3, no. 1 (1993): 599–605. http://dx.doi.org/10.1002/j.2334-5837.1993.tb01632.x.

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AbstractImplementation of a Total Quality Management (TQM) approach to engineering work required the development of a system of metrics which would serve as a meaningful management tool for evaluating effectiveness in accomplishing project objectives and in achieving improved customer satisfaction. A team effort was chartered with the goal of developing a system of engineering performance metrics which would measure customer satisfaction, quality, cost effectiveness, and timeliness. The approach to developing this system involved normal systems design phases including conceptual design, detail

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DePesa, Christopher D., Corrine Y. Jurgens, Christopher S. Lee, and Monica O'Reilly-Jacob. "Nurse Performance Metrics." JONA: The Journal of Nursing Administration 53, no. 2 (2023): 110–15. http://dx.doi.org/10.1097/nna.0000000000001251.

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Liu, Yangguang, Yangming Zhou, Shiting Wen, and Chaogang Tang. "A Strategy on Selecting Performance Metrics for Classifier Evaluation." International Journal of Mobile Computing and Multimedia Communications 6, no. 4 (2014): 20–35. http://dx.doi.org/10.4018/ijmcmc.2014100102.

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The evaluation of classifiers' performances plays a critical role in construction and selection of classification model. Although many performance metrics have been proposed in machine learning community, no general guidelines are available among practitioners regarding which metric to be selected for evaluating a classifier's performance. In this paper, we attempt to provide practitioners with a strategy on selecting performance metrics for classifier evaluation. Firstly, the authors investigate seven widely used performance metrics, namely classification accuracy, F-measure, kappa statistic,

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Baker, Noel C., and Patrick C. Taylor. "A Framework for Evaluating Climate Model Performance Metrics." Journal of Climate 29, no. 5 (2016): 1773–82. http://dx.doi.org/10.1175/jcli-d-15-0114.1.

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Abstract Given the large amount of climate model output generated from the series of simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5), a standard set of performance metrics would facilitate model intercomparison and tracking performance improvements. However, no framework exists for the evaluation of performance metrics. The proposed framework systematically integrates observations into metric assessment to quantitatively evaluate metrics. An optimal metric is defined in this framework as one that measures a behavior that is strongly linked to model quality in repr

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Li, Shanshan, and Weiyang Sun. "Image Encryption Performance Evaluation Based on Poker Test." Advances in Multimedia 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/6714164.

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The fast development of image encryption requires performance evaluation metrics. Traditional metrics like entropy do not consider the correlation between local pixel and its neighborhood. These metrics cannot estimate encryption based on image pixel coordinate permutation. A novel effectiveness evaluation metric is proposed in this paper to address the issue. The cipher text image is transformed to bit stream. Then, Poker Test is implemented. The proposed metric considers the neighbor correlations of image by neighborhood selection and clip scan. The randomness of the cipher text image is tes

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Czachura, Agnieszka, Jouri Kanters, Niko Gentile, and Maria Wall. "Solar Performance Metrics in Urban Planning: A Review and Taxonomy." Buildings 12, no. 4 (2022): 393. http://dx.doi.org/10.3390/buildings12040393.

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Metrics are instrumental in design assessments. Solar performance metrics help designers to evaluate solar access in cities. Metrics should be used early in the urban planning stages in order to enable sustainable urban development with greater access to solar energy. Currently, solar assessments at this design stage are limited in practice; established methods or routines are lacking, and so are suitable metrics. This paper reviews the relevant literature to provide a critical overview of solar metrics commonly used in building performance assessments. The review defines key metric formulatio

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Lehuta, Sigrid, Stéphanie Mahévas, Pascal Le Floc’h, and Pierre Petitgas. "A simulation-based approach to assess sensitivity and robustness of fisheries management indicators for the pelagic fishery in the Bay of Biscay." Canadian Journal of Fisheries and Aquatic Sciences 70, no. 12 (2013): 1741–56. http://dx.doi.org/10.1139/cjfas-2013-0066.

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Indicators are widely promoted as means to monitor ecosystem status or to evaluate fisheries management performance. “Which indicators are most relevant as decision-support tools in fisheries management?” still remains a topical question. Indicators should be metrics related to fish populations and fleets and should be sensitive to management strategies. However, given the complexity of the processes involved, it is often difficult to unequivocally interpret variations in metrics. A simulation approach was used to study metric properties and to identify robust and relevant fishery indicators.

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Brighton, Eric M., and David M. Klaus. "Categorization of Select Cockpit Performance Evaluation Techniques." Aerospace Medicine and Human Performance 94, no. 9 (2023): 696–704. http://dx.doi.org/10.3357/amhp.6185.2023.

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INTRODUCTION: The modern aircraft cockpit has evolved into a complex system of systems. Numerous performance evaluation metrics and techniques exist that can measure the effectiveness of cockpit components in terms of how they influence the human operator’s ability to perform tasks relevant to mission success. As no prior review of these metrics has been found in the literature, this effort attempts to do so, albeit without applying the metrics to a novel cockpit evaluation.METHODS: These metrics and techniques are discussed and presented in five defined categories as they relate to evaluating

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Torres-Jr, Pedro Rodrigues, and Eduardo Parente Ribeiro. "Packet Reordering Metrics to Enable Performance Comparison in IP-Networks." Journal of Computer Networks and Communications 2020 (May 30, 2020): 1–8. http://dx.doi.org/10.1155/2020/8465191.

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Despite the existence of several metrics to perform measurements on out-of-order packets, few works have used these metrics for comparative purposes. A potential reason for this is that the use of these simple singleton metrics makes it difficult to analyze all the effects of packet reordering. On the other hand, more complete metrics are represented in a vectorial manner, making comparative analysis challenging. In this paper, we present a scenario for testing and describe a methodology for conducting experiments to compare network paths with respect to unordered packets. The results of sever

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Cardosi, Kim, and Amanda DiFiore. "Metrics of Communication Performance." Air Traffic Control Quarterly 12, no. 4 (2004): 297–313. http://dx.doi.org/10.2514/atcq.12.4.297.

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Krause, J., M. Cornelius, P. Goldsmith, M. Mzungu, C. Kambani-Banda, and C. Tamimie. "Soy dairy performance metrics." African Journal of Food, Agriculture, Nutrition and Development 21, no. 105 (2021): 19016–39. http://dx.doi.org/10.18697/ajfand.105.21245.

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Soybean (Glycine max (L. Merr.) has been a crop of interest to address both poverty and malnutrition in the developing world because of its high levels of both protein and oil, and its adaptability to grow in tropical environments. Development practitioners and policymakers have long sought value added opportunities for local crops to move communities out of poverty by introducing processing or manufacturing technologies. Soy dairy production technologies sit within this development conceptual model. To the researchers’ knowledge, no research to date measures soy dairy performance, though dono

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Morton, Al. "Performance Metrics for All." IEEE Internet Computing 13, no. 4 (2009): 82–86. http://dx.doi.org/10.1109/mic.2009.87.

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Wright, Christopher, Stuart Baur, Katie Grantham, Robert B. Stone, and Scott E. Grasman. "Residential Energy Performance Metrics." Energies 3, no. 6 (2010): 1194–211. http://dx.doi.org/10.3390/en3061194.

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Nindl, Bradley C., Dianna P. Jaffin, Michael N. Dretsch, et al. "Human Performance Optimization Metrics." Journal of Strength and Conditioning Research 29 (November 2015): S221—S245. http://dx.doi.org/10.1519/jsc.0000000000001114.

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Stevens, Philip Andrew, Lucy Stokes, and Mary O'Mahony. "Metrics, Targets and Performance." National Institute Economic Review 197 (July 1, 2006): 80–92. http://dx.doi.org/10.1177/0027950106070037.

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The setting and use of targets in the public sector has generated a growing amount of interest in the UK. This has occurred at a time when more analysts and policymakers are grasping the nettle of measuring performance in and of the public sector. We outline a typology of performance indicators and a set of desiderata. We compare the outcome of a performance management system — star ratings for acute hospital trusts in England — with a productivity measure analogous to those used in the analysis of the private sector. We find that the two are almost entirely unrelated. Although this may be the

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Stevens, Philip, Lucy Stokes, and Mary O’Mahony. "Metrics, Targets and Performance." National Institute Economic Review 197, no. 1 (2006): 80–92. http://dx.doi.org/10.1177/002795010619700103.

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Prathap, Gangan. "Evaluating journal performance metrics." Scientometrics 92, no. 2 (2012): 403–8. http://dx.doi.org/10.1007/s11192-012-0746-1.

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Yunyongying, Pete, Max Rich, and Janet Jokela. "Patient-Centered Performance Metrics." JAMA 321, no. 18 (2019): 1829. http://dx.doi.org/10.1001/jama.2019.2056.

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Mizukami, Naoki, Oldrich Rakovec, Andrew J. Newman, et al. "On the choice of calibration metrics for “high-flow” estimation using hydrologic models." Hydrology and Earth System Sciences 23, no. 6 (2019): 2601–14. http://dx.doi.org/10.5194/hess-23-2601-2019.

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Abstract. Calibration is an essential step for improving the accuracy of simulations generated using hydrologic models. A key modeling decision is selecting the performance metric to be optimized. It has been common to use squared error performance metrics, or normalized variants such as Nash–Sutcliffe efficiency (NSE), based on the idea that their squared-error nature will emphasize the estimates of high flows. However, we conclude that NSE-based model calibrations actually result in poor reproduction of high-flow events, such as the annual peak flows that are used for flood frequency estimat

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Ramachandran Sumangala Devi, Arun Kumar. "Enhancing Healthcare Quality with AI-Based Performance Metrics." Global Research and Development Journals 5, no. 12 (2020): 41–48. http://dx.doi.org/10.70179/grdjev09i120092.

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Artificial intelligence (AI) based management holds promise across healthcare by managing and enabling the delivery of the right care to the right patient at the right time. AI-based performance metrics are essential to managing delivery and enhancing both care quality and patient experience. Algorithmic insight into the uncertainty of diagnosis and patient care is aided by a framework termed Human+AI. This perspective describes the roles of AI agents, health systems, patients, and regulators. AI agent roles and relationships revolve around the therapeutic process and an AI process that sorts

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Bradley, Brendon A. "Seismic performance criteria based on response history analysis." Bulletin of the New Zealand Society for Earthquake Engineering 47, no. 3 (2014): 224–28. http://dx.doi.org/10.5459/bnzsee.47.3.224-228.

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This paper provides a comparison of four different seismic performance metrics which relate to the determination of design seismic demands from seismic response history analyses. The considered metrics include those implemented in New Zealand and international codes of practice, as well as emerging metrics which are well established in related research and state-of-the-art practice, but have yet to find their way into conventional guidelines. The metrics are directly compared and contrasted based on a central example. It is illustrated that the use of the “maximum demand” metric in the NZ load

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BHARKAD, SANGITA D., and MANESH KOKARE. "PERFORMANCE EVALUATION OF DISTANCE METRICS: APPLICATION TO FINGERPRINT RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 06 (2011): 777–806. http://dx.doi.org/10.1142/s0218001411009007.

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Distance metric is widely used in similarity estimation which plays a key role in fingerprint recognition. In this work we propose the detailed comparison of 29 distinct distance metrics. Features of fingerprint images are extracted using Fast Fourier Transform (FFT). Recognition rate, receiver operating curve (ROC), time and space complexity parameters are used for evaluation of each distance metric. To consolidate our conclusion we used the standard fingerprint database available at Bologna University and FVC2000 databases. After evaluation of 29 distinct distance metrics we found Sorgel dis

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Zhong, Yiwen, Kun Song, ShengKai Lv, and Peng He. "An Empirical Study of Software Metrics Diversity for Cross-Project Defect Prediction." Mathematical Problems in Engineering 2021 (November 28, 2021): 1–11. http://dx.doi.org/10.1155/2021/3135702.

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Cross-project defect prediction (CPDP) is a mainstream method estimating the most defect-prone components of software with limited historical data. Several studies investigate how software metrics are used and how modeling techniques influence prediction performance. However, the software’s metrics diversity impact on the predictor remains unclear. Thus, this paper aims to assess the impact of various metric sets on CPDP and investigate the feasibility of CPDP with hybrid metrics. Based on four software metrics types, we investigate the impact of various metric sets on CPDP in terms of F-measu

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Luque, Amalia, Alejandro Carrasco, Alejandro Martín, and Juan Ramón Lama. "Exploring Symmetry of Binary Classification Performance Metrics." Symmetry 11, no. 1 (2019): 47. http://dx.doi.org/10.3390/sym11010047.

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Selecting the proper performance metric constitutes a key issue for most classification problems in the field of machine learning. Although the specialized literature has addressed several topics regarding these metrics, their symmetries have yet to be systematically studied. This research focuses on ten metrics based on a binary confusion matrix and their symmetric behaviour is formally defined under all types of transformations. Through simulated experiments, which cover the full range of datasets and classification results, the symmetric behaviour of these metrics is explored by exposing th

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Sai, Vaibhav Medavarapu. "Agile Metrics and Performance Measurement." Journal of Scientific and Engineering Research 10, no. 4 (2023): 152–56. https://doi.org/10.5281/zenodo.13597916.

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Agile methodologies have gained widespread adoption in software development due to their flexibility and iterative approach. Effective measurement of performance in Agile environments is critical for ensuring the successful delivery of projects and continuous improvement. This paper explores Agile metrics and performance measurement, examining key metrics used to assess Agile processes, their impact on project outcomes, and best practices for their implementation.

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Ukommi, U. S. "Review of multimedia communication quality assessment techniques." Nigerian Journal of Technology 41, no. 2 (2022): 330–38. http://dx.doi.org/10.4314/njt.v41i2.15.

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Communication pattern is drifting from conventional audio to multimedia applications, streaming live and on-demand digital video contents over telecommunications and broadcasting networks. Currently, some businesses deploy video in promoting products in a far more enriching, entertainment and informative approach than typical traditional audio would allow. However, users of multimedia applications are interested in paying for a good acceptable video quality. Thus, this paper reviews methods used in Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM) and Video Quality M

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Kutschera, A., and P. M. Render. "Corner speed versus optimum turn speed." Aeronautical Journal 107, no. 1073 (2003): 443–46. http://dx.doi.org/10.1017/s0001924000130052.

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Work has been carried out by Kutschera on how to assess, at the conceptual design stage, the performance of fighter aircraft. As part of this work, Kutschera reviewed a number of existing and proposed metrics for assessing aircraft performance. Reference 4 also describes how the performance of an aircraft can be quantified by three types of metric. The first type are steady state or point performance metrics, such as turn rate plots and energy manoeuvrability diagrams. The second type are manoeuvrability metrics and the last are agility metrics.

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Mohamed, Refai Mohamed Irfan, Mique Saes, Bouke L. Scheltinga, et al. "Smoothness metrics for reaching performance after stroke. Part 1: which one to choose?" Journal of NeuroEngineering and Rehabilitation 18, no. 1 (2021): 154. https://doi.org/10.1186/s12984-021-00949-6.

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<strong>Background: </strong>Smoothness is commonly used for measuring movement quality of the upper paretic limb during reaching tasks after stroke. Many different smoothness metrics have been used in stroke research, but a 'valid' metric has not been identified. A systematic review and subsequent rigorous analysis of smoothness metrics used in stroke research, in terms of their mathematical definitions and response to simulated perturbations, is needed to conclude whether they are valid for measuring smoothness. Our objective was to provide a recommendation for metrics that reflect smoothnes

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Arif-Uz-Zaman, Kazi, and A. M. M. Nazmul Ahsan. "Lean supply chain performance measurement." International Journal of Productivity and Performance Management 63, no. 5 (2014): 588–612. http://dx.doi.org/10.1108/ijppm-05-2013-0092.

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Purpose – The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain. Design/methodology/approach – To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model m

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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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Fedorenko, Yu S. "STATISTICAL TESTING TECHNIQUE FOR COMPARISON MACHINE LEARNING MODELS PERFORMANCE." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 186 (December 2019): 10–17. http://dx.doi.org/10.14489/vkit.2019.12.pp.010-017.

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The statistical testing technique is considered to compare the metrics values of machine learning models on a test set. Since the values of metrics depend not only on the models, but also on the data, it may turn out that different models are the best on different test sets. For this reason, the traditional approach to comparing the values of metrics on a test set is often not enough. Sometimes a statistical comparison of the results obtained on the basis of cross-validation is used, but in this case it is impossible to guarantee the independence of the obtained measurements, which does not al

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Kumar Dahal, Rewan. "Effectiveness of learning and growth performance metrics in the Nepalese telecommunications industry for organizational success." Problems and Perspectives in Management 20, no. 4 (2022): 238–49. http://dx.doi.org/10.21511/ppm.20(4).2022.18.

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The primary use of financial-based performance metrics to assess an organization’s success might be misleading. The application of non-financial performance metrics could improve organizational success and longevity. This study aimed to examine the effectiveness of learning and growth performance metrics for organizational success in the Nepalese telecommunication industry. The quantitative research approach was utilized for collecting, presenting, and analyzing data obtained during a survey. The two major telecommunications service providers in Nepal, Ncell and Nepal Telecom, were taken as sa

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Kresl, William, and James M. Manimala. "Tunable performance metrics for acoustic liners." Journal of the Acoustical Society of America 151, no. 4 (2022): A225. http://dx.doi.org/10.1121/10.0011137.

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In the development of automated design tools for acoustic liners customized to mitigate specific noise spectral characteristics, it is often beneficial to have a unified quantitative metric to discriminate between candidate designs. Such metrics are especially useful when optimizing the packing of 3D folded cavities into a prescribed liner volume. We devise tunable performance metrics (TPM) that account for absorption parameters such as the peak absorption and the frequency at which it occurs, the bandwidth of appreciable absorption and its lower bound among others. Metrics are tuned by varyin

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Giorgiana, Violeta Vlăsceanu, Tarbă Nicolae, Voncilă Mihai-Lucian, and Anton Boiangiu Costin. "BRAIN. Broad Research in Artificial Intelligence and Neuroscience - Selecting the Right Metric: A Detailed Study on Image Segmentation Evaluation." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 15, no. 4 (2024): 295–318. https://doi.org/10.70594/brain/15.4/20.

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Image segmentation is critical role in various computer vision tasks, such as object recognition, medical imaging, autonomous driving, and document analysis. To evaluate the performance of segmentation algorithms, various metrics have been developed, each providing insights into different aspects of segmentation accuracy, object completeness, and boundary precision. This paper presents a comprehensive review of the key evaluation metrics used in image segmentation, including popular metrics such as Intersection over Union, Dice Coefficient, F1-score, and boundary-based metrics like average and

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Hia, Selamat Walmanto, Moses Laksono Singgih, and Raja Oloan Saut Gurning. "Performance Metric Development to Measure Overall Vehicle Effectiveness in Mining Transportation." Applied Sciences 12, no. 23 (2022): 12341. http://dx.doi.org/10.3390/app122312341.

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Several performance metrics to measure the effectiveness of manufacturing equipment have been studied, and one of the most used is overall equipment effectiveness (OEE). However, its application and development in the road transportation sector remains little studied. The purpose of this paper is to establish a new metric derived from OEE to measure the overall effectiveness of coal mining transportation and apply this metric to actual operation. This study employed in-depth interviews and Delphi techniques to explore the specific metrics. Three rounds of Delphi involving mining experts, acade

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Mirchi, Nykan, Vincent Bissonnette, Nicole Ledwos, et al. "Artificial Neural Networks to Assess Virtual Reality Anterior Cervical Discectomy Performance." Operative Neurosurgery 19, no. 1 (2019): 65–75. http://dx.doi.org/10.1093/ons/opz359.

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Abstract BACKGROUND Virtual reality surgical simulators provide a safe environment for trainees to practice specific surgical scenarios and allow for self-guided learning. Artificial intelligence technology, including artificial neural networks, offers the potential to manipulate large datasets from simulators to gain insight into the importance of specific performance metrics during simulated operative tasks. OBJECTIVE To distinguish performance in a virtual reality-simulated anterior cervical discectomy scenario, uncover novel performance metrics, and gain insight into the relative importanc

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Valencia-Angulo, Edgar Alirio, Carlos Alberto Ramírez-Vanegas, and Oscar Danilo Montoya Giraldo. "Distance measures for hidden Markov models based on Hilbert space embeddings for time series classification." Statistics, Optimization & Information Computing 13, no. 4 (2025): 1522–35. https://doi.org/10.19139/soic-2310-5070-2184.

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In order to build a classification scheme for sequences based on HMMs, the design of an appropriate distance is critical in both theoretical and practical fields. The Kullback-Leibler (KL) and Hidden Markov Stationary Distance (HSD) measures have been used to build classification schemes for sequences based on HMMs. However, it is well known that the KL measure is not a true metric and the metric HSD is for univariate data. Inspired by the recent emergence of metrics of probability measures in Reproducible Kernel Hilbert Spaces (RKHS), we introduce two new metrics between two stationary HMMs.

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Jiang, Bo, Jiaye Cen, Erluan Zhu, and Jiale Wang. "Software technical debt prediction based on complex software networks." PLOS One 20, no. 6 (2025): e0323672. https://doi.org/10.1371/journal.pone.0323672.

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Technical debt prediction (TDP) is crucial for the long-term maintainability of software. In the literature, many machine-learning based TDP models have been proposed; they used TD-related metrics as input features for machine-learning classifiers to build TDP models. However, their performance is unsatisfactory. Developing and utilizing more effective metrics to build TDP models is considered as a promising approach to enhance the performance of TDP models. Social Network Analysis (SNA) uses a set of metrics (i.e., SNA metrics) to characterize software elements (classes, binaries, etc.) in so

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St-Aubin, Philippe, and Bruno Agard. "Precision and Reliability of Forecasts Performance Metrics." Forecasting 4, no. 4 (2022): 882–903. http://dx.doi.org/10.3390/forecast4040048.

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The selection of an accurate performance metric is highly important to evaluate the quality of a forecasting method. This evaluation may help to select between different forecasting tools of forecasting outputs, and then support many decisions within a company. This paper proposes to evaluate the sensitivity and reliability of forecasts performance metrics. The methodology is tested using multiple time series of different scales and demand patterns, such as intermittent demand. The idea is to add to each series a noise following a known distribution to represent forecasting models of a known e

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Wienold, J., T. Iwata, M. Sarey Khanie, et al. "Cross-validation and robustness of daylight glare metrics." Lighting Research & Technology 51, no. 7 (2019): 983–1013. http://dx.doi.org/10.1177/1477153519826003.

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This study evaluates the performance and robustness of 22 established and newly proposed glare prediction metrics. Experimental datasets of daylight-dominated workplaces in office-like test rooms were collected from studies by seven research groups in six different locations (Argentina, Denmark, Germany, Israel, Japan and the United States). The variability in experimental setups, locations and research teams allowed reliable evaluation of the performance and robustness of glare metrics for daylight-dominated workplaces. Independent statistical methods were applied to individual datasets and a

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Sobral, Jose V. V., Joel J. P. C. Rodrigues, Neeraj Kumar, Chunsheng Zhu, and Raja W. Ahmad. "Performance Evaluation of Routing Metrics in the LOADng Routing Protocol." Journal of Communications Software and Systems 13, no. 2 (2017): 87. http://dx.doi.org/10.24138/jcomss.v13i2.376.

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LOADng (Lightweight On-demand Ad hoc Distance-vector Routing Protocol - Next Generation) is an emerging routing protocol that emerged as an alternative to RPL (IPv6 Routing Protocol for Low power and Lossy Networks). Although some work has been dedicated to study LOADng, these works do not analyze the performance of this protocol with different routing metrics. A routing metric is responsible for defining values for paths during the route creation process. Moreover, based on these metrics information a routing protocol will select the path to forward a message. Thus, this work aims to realize

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Christopher, John J., Jessica Schindler, Jose Villa, Erika Hussey, John Ramsay, and Stephanie A. T. Brown. "Holding on Tight: Relationship Between Grip Strength and Marksmanship Stability." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 2156–60. http://dx.doi.org/10.1177/1071181319631104.

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Evaluating marksmanship performance is crucial for Warfighters and competitive shooters alike. Traditionally, only accuracy or hit/miss has been used as the quantitative metric to report performance. In this study, grip strength from U.S. Army Soldiers is compared to marksmanship stability metrics recorded after a field training mission. The data analysis revealed that there is a relationship between grip strength and stability, especially in the less stable standing position. The horizontal and vertical stability measures, as well as trigger control offer new insights into weapon control duri

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Krishna, Dhulipalla Vijay, and K. Praveen Kumar. "Student Performance Metrics in Android." International Journal of Digital Contents and Applications for Smart Devices 3, no. 1 (2016): 1–8. http://dx.doi.org/10.21742/ijdcasd.2016.3.1.01.

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Succar, Bilal, Willy Sher, and Anthony Williams. "Measuring BIM performance: Five metrics." Architectural Engineering and Design Management 8, no. 2 (2012): 120–42. http://dx.doi.org/10.1080/17452007.2012.659506.

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Gupta, Diwakar, Sandra Potthoff, Donald Blowers, and John Corlett. "Performance Metrics for Advanced Access." Journal of Healthcare Management 51, no. 4 (2006): 246–58. http://dx.doi.org/10.1097/00115514-200607000-00007.

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