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Journal articles on the topic 'Quantitative Quality Assessment'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Rosen, Adon F. G., David R. Roalf, Kosha Ruparel, et al. "Quantitative assessment of structural image quality." NeuroImage 169 (April 2018): 407–18. http://dx.doi.org/10.1016/j.neuroimage.2017.12.059.

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2

Pitblado, Robin. "Quality and offshore quantitative risk assessment." Journal of Loss Prevention in the Process Industries 7, no. 4 (1994): 360–69. http://dx.doi.org/10.1016/0950-4230(94)80050-2.

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3

Dutta, Joyita, Sangtae Ahn, and Quanzheng Li. "Quantitative Statistical Methods for Image Quality Assessment." Theranostics 3, no. 10 (2013): 741–56. http://dx.doi.org/10.7150/thno.6815.

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4

Ginevičius, Romualdas, Halyna Trishch, and Vladislavas Petraškevičius. "Quantitative assessment of quality management systems’ processes." Economic Research-Ekonomska Istraživanja 28, no. 1 (2015): 1096–110. http://dx.doi.org/10.1080/1331677x.2015.1087676.

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5

Qureshi, H. S., M. M. Khan, R. Hafiz, Y. Cho, and J. Cha. "Quantitative quality assessment of stitched panoramic images." IET Image Processing 6, no. 9 (2012): 1348–58. http://dx.doi.org/10.1049/iet-ipr.2011.0641.

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6

Jumayev, U.X., R.T. Kazoqov, and I.K. Abdusalomov. "QUANTITATIVE EVALUATION OF QUALITY INDICATORS." MODERN SCIENCE АND RESEARCH 3, no. 4 (2024): 229–40. https://doi.org/10.5281/zenodo.10955919.

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7

Rampado, O., P. Isoardi, and R. Ropolo. "Quantitative assessment of computed radiography quality control parameters." Physics in Medicine and Biology 51, no. 6 (2006): 1577–93. http://dx.doi.org/10.1088/0031-9155/51/6/015.

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8

Hudec, Bojan, Karla Ribičić, Sanja Martinez, and Ivana Šoić. "Quantitative Coating Quality Assessment on an Offshore Platform." Materials Performance 61, no. 1 (2022): 52–56. https://doi.org/10.5006/mp2022_61_1-52.

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Early signs of coating degradation were investigated by impedance measurements at 40 locations on a docked, jacketed offshore platform 1.5 and 2 years after full coating renewal. The platform coatings were evaluated in comparison to 38 reference samples with partial and complete coating systems that were aged at the shoreline for 1.5 years and subsequently tested in the laboratory in dry and wet states. The quantitative coating quality approach based on log Z measurements at 0.1 Hz and subsequent statistical analysis has provided means to quantitatively assess coating degradation in situ and i

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9

Tchigirinsky, Ju L., A. V. Evtiynin, and V. O. Kharlamov. "MECHANICAL TREATMENT'S STABILITY QUANTITATIVE ASSESSMENT." IZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITY, no. 1(248) (January 27, 2021): 41–44. http://dx.doi.org/10.35211/1990-5297-2021-1-248-41-44.

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The ambivalence of the content of the term «stability» of machining processes in the transition to the construction of digital production is established based on the analysis of regulatory and technical documentation regulating the issues of product quality management in mechanical engineering. It is shown that the Fisher criterion can be a quantitative assessment of the stability of processes that are in a state of statistical controllability.

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10

Crede, William B., and Walter J. Hierholzer. "Surveillance for Quality Assessment III. The Critical Assessment of Quality Indicators." Infection Control & Hospital Epidemiology 11, no. 4 (1990): 197–201. http://dx.doi.org/10.1017/s0195941700017963.

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The first two articles in this series reviewed the reasons for widespread acceptance of surveillence and control methods in hospital infection control programs, and discussed important factors contributing to the successes and failures in applying this approach to noninfectious nosocomial events. The quality assurance program ‘targets of surveillence” identified in these articles are referred to as “quality indicators” by other authors and have been defined as “a quantitative measure that can be used as a guide to monitor and evaluate the quality of important patient care and support service a

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11

Pasman, Hans J. "Quantitative risk assessment in Europe." Process Safety Progress 14, no. 4 (1995): 229–31. http://dx.doi.org/10.1002/prs.680140404.

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12

Pouillot, Régis, Nicolas Miconnet, Anne-Laure Afchain, et al. "Quantitative Risk Assessment of Listeria monocytogenes in French Cold-Smoked Salmon: I. Quantitative Exposure Assessment." Risk Analysis 27, no. 3 (2007): 683–700. http://dx.doi.org/10.1111/j.1539-6924.2007.00921.x.

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13

Kuchariková, Lenka, Eva Tillová, and Denisa Závodská. "The assessment of castings quality using selected quantitative methods." Production Engineering Archives 13 (December 2016): 7–10. http://dx.doi.org/10.30657/pea.2016.13.02.

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14

Xu, S., and M. Ehlers. "CRITICAL REFLECTION ON QUANTITATIVE ASSESSMENT OF IMAGE FUSION QUALITY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 551–57. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-551-2022.

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Abstract. Image fusion technique has been extended its development from multi-sensor fusion, multi-model fusion to multi-focus fusion. More and more advanced techniques such as deep learning have been integrated into the development of image fusion algorithms. However, as an important aspect, fusion quality assessment has been received less attention. This paper intends to reflect on the commonly used indices for quantitative assessment and investigate how they can represent the fusion quality regarding spectral preservation and spatial improvement. We found that image dissimilarities are unav

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15

Oh, Kwan-Young, Hyung-Sup Jung, Kwang-Jae Lee, and Ha-Seong Lee. "A Method for Quantitative Quality Assessment of Mosaic Imagery." Korean Journal of Remote Sensing 30, no. 1 (2014): 1–12. http://dx.doi.org/10.7780/kjrs.2014.30.1.1.

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16

Bruna, Matteo, and Stefano Borini. "Assessment of graphene quality by quantitative optical contrast analysis." Journal of Physics D: Applied Physics 42, no. 17 (2009): 175307. http://dx.doi.org/10.1088/0022-3727/42/17/175307.

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17

Pick, Daniel, Alan Webb, Erin Dusch, and Karl Gudmunds. "Quantitative Assessment of U.S. Wheat Performance for Quality Characteristics." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 42, no. 3 (1994): 273–90. http://dx.doi.org/10.1111/j.1744-7976.1994.tb00024.x.

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18

Boisson, R. C., J. C. Eynard, M. Crozier, and D. C. Grafmeyer. "French experience of quality assessment of quantitative urinary analysis." Clinica Chimica Acta 297, no. 1-2 (2000): 285–95. http://dx.doi.org/10.1016/s0009-8981(00)00254-0.

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19

Aaronson, Neil K. "Quantitative issues in health-related quality of life assessment." Health Policy 10, no. 3 (1988): 217–30. http://dx.doi.org/10.1016/0168-8510(88)90058-9.

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20

Fitzpatrick, LA, J. Donovan, K. Kluge, and L. Kleppe. "Quality control in histomorphometry: Assessment of quantitative bone measurements." Bone 13, no. 5 (1992): A11. http://dx.doi.org/10.1016/8756-3282(92)90499-m.

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21

Ungureanu, Lucian Constantin, Timo Hartmann, and Ion Serbanoiu. "Quantitative lean assessment of line of balance schedules’ quality." Engineering, Construction and Architectural Management 26, no. 2 (2019): 224–44. http://dx.doi.org/10.1108/ecam-05-2017-0088.

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Purpose The line of balance (LOB) method is a suitable scheduling technique that managers can use to support lean planning efforts for projects composed of repetitive activities such as high-rise building construction. Like any other method, LOB has certain disadvantages that create a set of practical limitations in its application. An LOB schedule gives insights about how continuous and synchronized single resources are scheduled and how uniform these resources are distributed over the project duration. However, these three characteristics have to be visually checked, which makes the evaluati

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22

Ormes, Walter S., Melanie B. Brim, and Pamela Coggan. "Quantitative Study Designs Used in Quality Improvement and Assessment." Journal For Healthcare Quality 23, no. 3 (2001): 15–20. http://dx.doi.org/10.1111/j.1945-1474.2001.tb00343.x.

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23

Kim, Sungryeol, Taewook Hwang, Sangkeun Jung, and Yoonhyung Roh. "Epoch Score: Dataset Verification using Quantitative Data Quality Assessment." Journal of KIISE 50, no. 3 (2023): 250–56. http://dx.doi.org/10.5626/jok.2023.50.3.250.

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24

Apostolakis, George E. "How Useful Is Quantitative Risk Assessment?" Risk Analysis 24, no. 3 (2004): 515–20. http://dx.doi.org/10.1111/j.0272-4332.2004.00455.x.

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25

Elaksher, Ahmed, Tarig Ali, and Abdullatif Alharthy. "A Quantitative Assessment of LIDAR Data Accuracy." Remote Sensing 15, no. 2 (2023): 442. http://dx.doi.org/10.3390/rs15020442.

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Airborne laser scanning sensors are impressive in their ability to collect a large number of topographic points in three dimensions in a very short time thus providing a high-resolution depiction of complex objects in the scanned areas. The quality of any final product naturally depends on the original data and the methods of generating it. Thus, the quality of the data should be evaluated before assessing any of its products. In this research, a detailed evaluation of a LIDAR system is presented, and the quality of the LIDAR data is quantified. This area has been under-emphasized in much of t

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26

Al-hedny, Suhad, Qassim A. T. Al-Shujairy, Mustafa A. Manshood, and Tabarek H. Fathullah. "Quantitative Soil Quality Assessment by Using Visual Soil-Field Assessment Tools (VS-FAST)." IOP Conference Series: Earth and Environmental Science 1325, no. 1 (2024): 012043. http://dx.doi.org/10.1088/1755-1315/1325/1/012043.

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Abstract Unplanned land use reflects the changes from agricultural to urbanization and decreasing of green spaces in cities and agricultural lands surrounding cities. The Soil Adjusted Vegetation Index (SAVI), Dry Bare - Soil Index (DBSI) and Normalized Difference Built-up Index (NDBI) indices were derived to evaluate the rate of the land use/cover changes due to uncontrolled urban sprawl for the years 2001 and 2020. Field indicators were also used to assess soil properties’ degradation by using Land Degradation Assessment in Drylands (LADA) under the FAO Global Environment Facility (GEF) proj

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27

Tsai, Yvonne. "Quantitative analysis of patent translation." Journal of Specialised Translation, no. 21 (January 25, 2014): 52–70. https://doi.org/10.26034/cm.jostrans.2014.384.

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This paper evaluates patent translation quality from the perspectives of readers. An integrated Translation Quality Assessment model, combining theory and practice, is devised in this research to evaluate patent abstract translations, and the evaluation is divided into three parts. The first is error of meaning, the second part deals with errors in form, and the last part is error of compliance, which includes readability, comprehensibility, clarity, and concision levels. A simple statistical analysis was used to explain the general features found in this translation quality assessment, namely

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28

Groen, Frank J., Carol Smidts, and Ali Mosleh. "QRAS—the quantitative risk assessment system." Reliability Engineering & System Safety 91, no. 3 (2006): 292–304. http://dx.doi.org/10.1016/j.ress.2005.01.008.

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29

Aghapour Maleki, S., and H. Ghassemian. "A CRITICAL REVIEW OF QUALITY ASSESSMENT PROTOCOLS IN PAN-SHARPENING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 13–18. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-13-2019.

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Abstract. Although vast amounts of pan-sharpening methods have been proposed to date, there has been relatively little published on the topic of qualitative and quantitative assessment of the pan-sharpened multispectral (MS) data. Since a high resolution reference MS image is not available, qualitative and quantitative assessments of the spatially enhanced MS image are a much more challenging task in pan-sharpening. Thomas et al. conducted a critical survey of conventional pan-sharpening methods considering remote sensing physics. In this paper, we study the effects of physical constraints of

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30

Zhao, Lingling, Rui Fan, Xue Yu, Lei Wang, Fali Li, and Li Dong. "A Quantitative Quality Assessment Framework for Continuous Raw EEG Data." International Journal of Psychophysiology 168 (October 2021): S198. http://dx.doi.org/10.1016/j.ijpsycho.2021.07.538.

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31

Panagiotakos, Demosthenes B., and John N. Yfantopoulos. "Methodological Issues in the Quantitative Assessment of Quality of Life." Angiology 62, no. 7 (2011): 517–19. http://dx.doi.org/10.1177/0003319711403735.

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32

Starkschall, George, Neil Desai, Peter Balter, et al. "Quantitative assessment of four-dimensional computed tomography image acquisition quality." Journal of Applied Clinical Medical Physics 8, no. 3 (2007): 1–20. http://dx.doi.org/10.1120/jacmp.v8i3.2362.

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33

Lively, Brooks, William R. Smoot, Samra S. Sangari, and Weihong Zhong. "A quantitative analysis tool for quality assessment of nanocomposite masterbatches." Journal of Composite Materials 48, no. 20 (2013): 2527–36. http://dx.doi.org/10.1177/0021998313499954.

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34

Natarajan, Kavitha, and S. Kanaka. "Quantitative environmental impact assessment on groundwater quality using geoinformatics techniques." International Journal of Agricultural Invention 4, no. 01 (2019): 55–65. http://dx.doi.org/10.46492/ijai/2019.4.1.9.

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Availability of quality freshwater is one of the most critical environmental issues of the twenty first century (UNEP, 2002). Urbanization leads to the environmental pollution, i.e., urban growth leads to the increasing of slums, solid waste disposal, provision of transport facilities, conjection and groundwater contamination. Groundwater is an important water resource for domestic and agriculture in both rural and urban parts of India. Pollution of groundwater comes from many sources. Groundwater contamination in a major issue, especially in industrial areas especially like Dindigul. The pres

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35

Li, Chia-Ying, Hong-Xi Xu, Quan-Bin Han, and Tian-Shung Wu. "Quality assessment of Radix Codonopsis by quantitative nuclear magnetic resonance." Journal of Chromatography A 1216, no. 11 (2009): 2124–29. http://dx.doi.org/10.1016/j.chroma.2008.10.080.

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36

Razzaghi, Mehdi, and Ralph Kodell. "Quantitative Risk Assessment for Developmental Neurotoxic Effects." Risk Analysis 24, no. 6 (2004): 1673–81. http://dx.doi.org/10.1111/j.0272-4332.2004.00558.x.

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37

Aljumaili, Mustafa, Ramin Karim, and Phillip Tretten. "Metadata-based data quality assessment." VINE Journal of Information and Knowledge Management Systems 46, no. 2 (2016): 232–50. http://dx.doi.org/10.1108/vjikms-11-2015-0059.

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Purpose The purpose of this paper is to develop data quality (DQ) assessment model based on content analysis and metadata analysis. Design/methodology/approach A literature review of DQ assessment models has been conducted. A study of DQ key performances (KPIs) has been done. Finally, the proposed model has been developed and applied in a case study. Findings The results of this study shows that the metadata data have important information about DQ in a database and can be used to assess DQ to provide decision support for decision makers. Originality/value There is a lot of DQ assessment in th

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38

Quin, S., and G. E. O. Widera. "Uncertainty Analysis in Quantitative Risk Assessment." Journal of Pressure Vessel Technology 118, no. 1 (1996): 121–24. http://dx.doi.org/10.1115/1.2842154.

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Of the quantitative approaches applied to inservice inspection, failure modes, effects,criticality analysis (FMECA) methodology is recommended. FMECA can provide a straightforward illustration of how risk can be used to prioritize components for inspection (ASME, 1991). But, at present, it has two limitations. One is that it cannot be used in the situation where components have multiple failure modes. The other is that it cannot be used in the situation where the uncertainties in the data of components have nonuniform distributions. In engineering practice, these two situations exist in many c

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39

Golub, Yu I., F. V. Starovoitov, and V. V. Starovoitov. "Impact of image size reducing for image quality assesment." «System analysis and applied information science», no. 2 (August 18, 2020): 35–45. http://dx.doi.org/10.21122/2309-4923-2020-2-35-45.

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The article describes studies of the effect of image reduction on the quantitative assessment of their quality. Image reduction refers to the proportional reduction of horizontal and vertical image resolutions in pixels. Within the framework of these studies, correlation analysis between quantitative assessments of image quality and subjective assessments of experts was performed. For the experiments, we used images from the public TID2013 database with a resolution of 512 × 384 pixels and expert estimates of their quality, as well as photographs taken with a Nikon D5000 digital camera with a

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40

Khuri, Shukri F. "Safety, Quality, and the National Surgical Quality Improvement Program." American Surgeon 72, no. 11 (2006): 994–98. http://dx.doi.org/10.1177/000313480607201103.

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The Institute of Medicine 1999 publication, To Err is Human, focused attention on preventable provider errors in surgery, and prompted numerous new national initiatives to improve patient safety. It is uncertain whether these initiatives have actually improved patient safety, mainly because of the lack of a quantitative metric for the assessment of patient safety in surgery. A 15-year experience with the National Surgical Quality Improvement Program, which originated in the Veteran's Administration in 1991 and was recently made available to the private sector, prompts the surgical community to

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41

Kulla, L., and R. Marušák. "Environmental risk assessment based on semi-quantitative analysis of forest management data." Journal of Forest Science 57, No. 3 (2011): 89–95. http://dx.doi.org/10.17221/35/2010-jfs.

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The paper deals with environmental risk assessment in prevailingly unnatural spruce (Picea abies [L.] Karst.) forests in three regions with different patterns of forest damage in the Slovak part of the West Carpathians. Logistic regression was used to estimate the effect of 7 site-related, 5 stand-related and 2 anthropogenic factors on the probability that critical forest damage will occur. The results show that regression models can describe cause-effect relationships in regions with different regimes of forest decline. Stand age, proportion of spruce, and distance from the focus of biotic ag

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42

Khodadadeh, Soussan. "Quantitative Approach to Osteoarthritic Gait Assessment." Engineering in Medicine 16, no. 1 (1987): 9–14. http://dx.doi.org/10.1243/emed_jour_1987_016_005_02.

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Measurements of the gait of 42 patients with osteoarthritis of the hip are made using only a pair of small force plates with computer interfacing. The use of more complex and expensive television systems is thus avoided. The force between the foot and plate is measured during gait, resolved into vertical, horizontal, and lateral force components, and graphs of the time variations of these components produced. It is shown that an accurate on-line assessment of pre- and post-operative gait can be made, but only by reference to all three force component curves. A numerical assessment of the gait

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43

Dandan, Sameer, and Odai Al-ghaswyneh. "Developing a quality assessment model (QAM) using logical prediction: Binary validation." International Journal of Assessment Tools in Education 11, no. 2 (2024): 288–302. http://dx.doi.org/10.21449/ijate.1353393.

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This study focuses on evaluating the quality of competency transfer through various assessment methods and results, considering diverse stakeholder perspectives. The research aims to introduce an innovative approach for validating assessment outcomes, leveraging predicted sub-measurements, and transforming Boolean parameters' symbols into a binary coding system. This transformation simplifies the validation process by employing logical equations. The study's sample involves the adaptation of a competency transfer model, which combines internal parameters with the novel logical assessment metho

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44

He, Yinying, and Csaba Csiszár. "Quality Assessment Method for Mobility as a Service." Promet - Traffic&Transportation 32, no. 5 (2020): 611–24. http://dx.doi.org/10.7307/ptt.v32i5.3374.

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The ongoing development of the concept ‘Mobility as a Service (MaaS)’ along with Shared Mobility contributes to the integration of transportation systems. Several MaaS or similar services are already in operation. The perceived quality of MaaS by the users varies significantly, and no general method is proposed to evaluate the service quality. This scantiness is identified as the research gap. The objective of the research is to elaborate a quantitative method to assess MaaS services. The research question is how to assess the quality of MaaS, and how to transform the qualitative description i

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45

Zhuravel, I. M., V. R. Onyshko, Yu I. Zhuravel, and K. A. Ambroziak. "Quantitative assessment of the visual quality of digital images based on the laws of human visual perception." Ukrainian Journal of Information Technology 6, no. 1 (2024): 17–25. http://dx.doi.org/10.23939/ujit2024.01.017.

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The existing methods of quantitative assessment of the visual quality of digital images are studied. Among the main shortcomings of the studied methods, the following can be singled out. Most of them require a reference image, do not include all the components that affect visual quality and do not take into consideration the laws of human visual perception. It was decided to develop a method for quantitative assessment of the visual quality of images, which will work without a reference image and will take into account the regularities of human visual perception. There are characterized the ma

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46

Doroftei, Daniela, Geert De Cubber, Salvatore Lo Bue, and Hans De Smet. "Quantitative Assessment of Drone Pilot Performance." Drones 8, no. 9 (2024): 482. http://dx.doi.org/10.3390/drones8090482.

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This paper introduces a quantitative methodology for assessing drone pilot performance, aiming to reduce drone-related incidents by understanding the human factors influencing performance. The challenge lies in balancing evaluations in operationally relevant environments with those in a standardized test environment for statistical relevance. The proposed methodology employs a novel virtual test environment that records not only basic flight metrics but also complex mission performance metrics, such as the video quality from a target. A group of Belgian Defence drone pilots were trained using

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47

Skyba, G., and M. Kolodii. "Quantitative assessment of water quality in the Vidsichne reservoir (Zhytomyr, Ukraine)." IOP Conference Series: Earth and Environmental Science 1254, no. 1 (2023): 012084. http://dx.doi.org/10.1088/1755-1315/1254/1/012084.

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Abstract The modern approach to the implementation of water management activities is based on a quantitative assessment of the quality of water resources, which includes a certain set of indicators to reflect the needs of users in the composition and properties of water, to assess their condition, etc. Ecological assessment is a preliminary stage and a condition for ecological standardization of surface water quality. To analyze the compliance of water quality with ecological standards, the obtained results are compared with the values of ecological standards for the corresponding water body.

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48

Damashola, Alfina, Irwan Sulistyanto, and Angga Prasongko. "TEACHERS’ PERCEPTIONS OF GRAMMARLY FOR WRITING ASSESSMENT: QUANTITATIVE STUDY." Academic Journal Perspective : Education, Language, and Literature 13, no. 1 (2025): 43–59. https://doi.org/10.33603/perspective.v13i1.10206.

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In the era of globalization, proficiency in English writing has become a crucial skill for academic and professional success. Digital tools such as Grammarly have emerged as valuable aids in enhancing teachers’ writing assessment accuracy and quality. This study explores English teachers’ perceptions of Grammarly as a writing assessment tool at a Public High School. Employing a quantitative descriptive research design, data were collected from English teachers through a structured questionnaire using a Likert scale. The study examines four key indicators: effectiveness, usability, limitations,

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49

Etemadi, A. H., and M. Fotuhi-Firuzabad. "Quantitative assessment of protection system reliability incorporating human errors." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 222, no. 2 (2008): 255–63. http://dx.doi.org/10.1243/1748006xjrr107.

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50

McBride, Graham B. "Has Water Quality Improved or Been Maintained? A Quantitative Assessment Procedure." Journal of Environmental Quality 48, no. 2 (2019): 412–20. http://dx.doi.org/10.2134/jeq2018.03.0101.

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