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Journal articles on the topic 'Automatic quality assessment'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Sinderby, C., L. Lindstrom, and A. E. Grassino. "Automatic assessment of electromyogram quality." Journal of Applied Physiology 79, no. 5 (1995): 1803–15. http://dx.doi.org/10.1152/jappl.1995.79.5.1803.

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Power spectrum analysis of the diaphragm electromyogram (EMGdi) is time consuming, and no criteria have been developed to objectively quantify contamination of the signal. The present work describes a set of computer algorithms that automatically select EMGdi free of the electrocardiogram and numerically quantify the common artifacts that affect the EMGdi. The algorithms were tested 1) on human EMGdi (n = 5) obtained with esophageal electrodes positioned at the level of the gastroesophageal junction, 2) on EMGdi obtained in mongrel dogs (n = 5) with intramuscular electrodes in the costal diaph

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2

Lassmann, T. "Automatic assessment of alignment quality." Nucleic Acids Research 33, no. 22 (2005): 7120–28. http://dx.doi.org/10.1093/nar/gki1020.

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Bourel, Philippe, David Gibon, Eric Coste, Vincent Daanen, and Jean Rousseau. "Automatic quality assessment protocol for MRI equipment." Medical Physics 26, no. 12 (1999): 2693–700. http://dx.doi.org/10.1118/1.598809.

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Bern, M., D. Goldberg, W. H. McDonald, and J. R. Yates. "Automatic Quality Assessment of Peptide Tandem Mass Spectra." Bioinformatics 20, Suppl 1 (2004): i49—i54. http://dx.doi.org/10.1093/bioinformatics/bth947.

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Wiltschi, Klaus, Axel Pinz, and Tony Lindeberg. "An automatic assessment scheme for steel quality inspection." Machine Vision and Applications 12, no. 3 (2000): 113–28. http://dx.doi.org/10.1007/s001380050130.

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6

Marcos, Juliana, Angel Ríos, and Miguel Valcárcel. "Assessment of analytical quality in automatic flow systems." Fresenius' Journal of Analytical Chemistry 354, no. 2 (1996): 140–49. http://dx.doi.org/10.1007/pl00012707.

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Zobkov, Mikhail. "AUTOMATIC WATER OBJECTS CLASSIFICATION AND NATURAL WATER QUALITY ASSESSMENT." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 3, 2015): 56. http://dx.doi.org/10.17770/etr2009vol2.1038.

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Assessment of water quality and classification of water object plays significant role in an environmental and ecology study. Water quality evaluation by hydrochemical parameters is fairly difficult and required a long period of time. Automatic expert system was created to solve this problem. Automatization of objects classification and quality assessment for humus zone based on Karelian water bodies research data are presented in this study. Automation algorithms of the surface water geochemical classification based on the principal chemical transactions was obtained during research. Classific

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Zhang, Lin, Xilin Yang, Lijun Zhang, Xiao Liu, Shengjie Zhao, and Yong Ma. "Towards Automatic Image Exposure Level Assessment." Mathematical Problems in Engineering 2020 (November 23, 2020): 1–14. http://dx.doi.org/10.1155/2020/2789854.

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The quality of acquired images can be surely reduced by improper exposures. Thus, in many vision-related industries, such as imaging sensor manufacturing and video surveillance, an approach that can routinely and accurately evaluate exposure levels of images is in urgent need. Taking an image as input, such a method is expected to output a scalar value, which can represent the overall perceptual exposure level of the examined image, ranging from extremely underexposed to extremely overexposed. However, studies focusing on image exposure level assessment (IELA) are quite sporadic. It should be

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Mortamet, Bénédicte, Matt A. Bernstein, Clifford R. Jack, et al. "Automatic quality assessment in structural brain magnetic resonance imaging." Magnetic Resonance in Medicine 62, no. 2 (2009): 365–72. http://dx.doi.org/10.1002/mrm.21992.

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Karlsson, Robert A., Benedikt A. Jonsson, Sveinn H. Hardarson, Olof B. Olafsdottir, Gisli H. Halldorsson, and Einar Stefansson. "Automatic fundus image quality assessment on a continuous scale." Computers in Biology and Medicine 129 (February 2021): 104114. http://dx.doi.org/10.1016/j.compbiomed.2020.104114.

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Zhang, Luming, Richang Hong, Liqiang Nie, and Chaoqun Hong. "A Biologically Inspired Automatic System for Media Quality Assessment." IEEE Transactions on Automation Science and Engineering 13, no. 2 (2016): 894–902. http://dx.doi.org/10.1109/tase.2015.2418223.

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Melia, Umberto, Felip Burgos, Montserrat Vallverdú, et al. "Algorithm for Automatic Forced Spirometry Quality Assessment: Technological Developments." PLoS ONE 9, no. 12 (2014): e116238. http://dx.doi.org/10.1371/journal.pone.0116238.

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Becker, R., and K. Behrens. "Quality assessment of heterogeneous surface radiation network data." Advances in Science and Research 8, no. 1 (2012): 93–97. http://dx.doi.org/10.5194/asr-8-93-2012.

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Abstract. The DWD national radiation measurement network comprises 82 automatic sites, 29 manned sites with shaded and unshaded pyranometer and the BSRN station at Lindenberg. The quality assessment routinely applied takes into account the basic astronomical and empirical considerations as well as some interdependencies like total to diffuse flux relation and cross checking with sunshine duration. A more advanced quality assessment approach attempts to routinely utilise timeseries of clear sky radiative transfer simulations for every site. For that purpose a link to cloud coverage obtained fro

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Han, Chao, and Xiaolei Lu. "Interpreting quality assessment re-imagined: The synergy between human and machine scoring." Interpreting and Society 1, no. 1 (2021): 70–90. http://dx.doi.org/10.1177/27523810211033670.

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Assessment of interpreting quality is a ubiquitous social practice in the interpreting industry and academia. In this article, we focus on both psychometric and social dimensions of assessment practice, and analyse two major assessment paradigms, namely, human rater scoring and automatic machine scoring. Regarding human scoring, we describe five specific methods, including atomistic scoring, questionnaire-based scoring, multi-methods scoring, rubric scoring, and ranking, and critically analyse their respective strengths and weaknesses. In terms of automatic scoring, we highlight four assessmen

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15

Pons, Daniel, José Ramón Hilera, Luis Fernández, and Carmen Pagés. "A Learning Quality Metadata approach: Automatic quality assessment of virtual training from metadata." Computer Standards & Interfaces 45 (March 2016): 45–61. http://dx.doi.org/10.1016/j.csi.2015.12.001.

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Malnar, D., V. Sucic, and J. M. O'Toole. "Automatic quality assessment and optimisation of quadratic time–frequency representations." Electronics Letters 51, no. 13 (2015): 1029–31. http://dx.doi.org/10.1049/el.2015.0489.

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Dalip, Daniel Hasan, Marcos André Gonçalves, Marco Cristo, and Pável Calado. "Automatic Assessment of Document Quality in Web Collaborative Digital Libraries." Journal of Data and Information Quality 2, no. 3 (2011): 1–30. http://dx.doi.org/10.1145/2063504.2063507.

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Rakhshanfar, Meisam, and Maria A. Amer. "Sparsity-based no-reference image quality assessment for automatic denoising." Signal, Image and Video Processing 12, no. 4 (2017): 739–47. http://dx.doi.org/10.1007/s11760-017-1215-3.

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Llorca, David Fernández, Ignacio Parra, Miguel Ángel Sotelo, and Gerard Lacey. "A vision-based system for automatic hand washing quality assessment." Machine Vision and Applications 22, no. 2 (2009): 219–34. http://dx.doi.org/10.1007/s00138-009-0234-7.

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Janowski, Lucjan, Piotr Kozłowski, Remigiusz Baran, Piotr Romaniak, Andrzej Glowacz, and Tomasz Rusc. "Quality assessment for a visual and automatic license plate recognition." Multimedia Tools and Applications 68, no. 1 (2012): 23–40. http://dx.doi.org/10.1007/s11042-012-1199-5.

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Albuquerque, Renato Q., and Carlos A. B. Mello. "Automatic no-reference speech quality assessment with convolutional neural networks." Neural Computing and Applications 33, no. 16 (2021): 9993–10003. http://dx.doi.org/10.1007/s00521-021-05767-4.

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22

Lyman, Margaret, Naomi Sager, Led Tick, Ngo Nhan, Francois Borst, and Jean-Raoul Scherrer. "The Application of Natural-language Processing to Healthcare Quality Assessment." Medical Decision Making 11, no. 4_suppl (1991): S65—S68. http://dx.doi.org/10.1177/0272989x9101104s12.

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This paper describes the automatic extraction of information from hospital discharge letters. The computer analysis and extraction process, designed to eliminate much of the manual effort required to review patient documents, are presented.

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23

HUANG, YAN, and LIANZHEN HE. "Automatic generation of short answer questions for reading comprehension assessment." Natural Language Engineering 22, no. 3 (2016): 457–89. http://dx.doi.org/10.1017/s1351324915000455.

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AbstractWriting items for reading comprehension assessment is time-consuming. Automating part of the process can help test-designers to develop assessments more efficiently and consistently. This paper presents an approach to automatically generating short answer questions for reading comprehension assessment. Our major contribution is to introduce Lexical Functional Grammar (LFG) as the linguistic framework for question generation, which enables systematic utilization of semantic and syntactic information. The approach can efficiently generate questions of better quality than previous high-pe

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Branisavljević, N., D. Prodanović, and D. Pavlović. "Automatic, semi-automatic and manual validation of urban drainage data." Water Science and Technology 62, no. 5 (2010): 1013–21. http://dx.doi.org/10.2166/wst.2010.350.

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Advances in sensor technology and the possibility of automated long distance data transmission have made continuous measurements the preferable way of monitoring urban drainage processes. Usually, the collected data have to be processed by an expert in order to detect and mark the wrong data, remove them and replace them with interpolated data. In general, the first step in detecting the wrong, anomaly data is called the data quality assessment or data validation. Data validation consists of three parts: data preparation, validation scores generation and scores interpretation. This paper will

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Li, Dai Ying. "Ambient Air Quality Assessment via Comprehensive Evaluation through Automatic Weight Determining." Advanced Materials Research 955-959 (June 2014): 1764–67. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1764.

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A mathematical model is built for air quality evaluation, which has taken PM2.5, PM10, SO2, NO2, CO and O3six parameters into consideration. The comprehensive air quality evaluation is carried out via standard deviation method and principle component analysis method; automatic weight determining has been discussed. Correlations of the factors are considered and a preprocess procedure is issued to eliminate the effects. Ambient air quality data of eleven cities are taken as an example and the comprehensive evaluation results are compared, which shows the mathematical model provides a viable app

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Lovrinčević, Dejan. "Quality Assessment of an Automatic Sounding Selection Process for Navigational Charts." Cartographic Journal 54, no. 2 (2016): 139–46. http://dx.doi.org/10.1080/00087041.2016.1195031.

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27

Lin, Wei-Yang, and Ming-Yang Chen. "A novel framework for automatic 3D face recognition using quality assessment." Multimedia Tools and Applications 68, no. 3 (2012): 877–93. http://dx.doi.org/10.1007/s11042-012-1092-2.

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28

Qi, Yaohui, Bin Dong, Fengpei Ge, and Yonghong Yan. "Text-independent pronunciation quality automatic assessment system for English retelling test." Journal of the Acoustical Society of America 131, no. 4 (2012): 3234. http://dx.doi.org/10.1121/1.4708063.

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29

Gu, Ke, Guangtao Zhai, Weisi Lin, and Min Liu. "The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement." IEEE Transactions on Cybernetics 46, no. 1 (2016): 284–97. http://dx.doi.org/10.1109/tcyb.2015.2401732.

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30

Alves, José, Dinis Moreira, Pedro Alves, Luís Rosado, and Maria Vasconcelos. "Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones." Sensors 19, no. 22 (2019): 4957. http://dx.doi.org/10.3390/s19224957.

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Over recent years, there has been an increase in popularity of the acquisition of dermoscopic skin lesion images using mobile devices, more specifically using the smartphone camera. The demand for self-care and telemedicine solutions requires suitable methods to guide and evaluate the acquired images’ quality in order to improve the monitoring of skin lesions. In this work, a system for automated focus assessment of dermoscopic images was developed using a feature-based machine learning approach. The system was designed to guide the user throughout the acquisition process by means of a preview

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31

Iphar, C., A. Napoli, and C. Ray. "DATA QUALITY ASSESSMENT FOR MARITIME SITUATION AWARENESS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 20, 2015): 291–96. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-291-2015.

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The Automatic Identification System (AIS) initially designed to ensure maritime security through continuous position reports has been progressively used for many extended objectives. In particular it supports a global monitoring of the maritime domain for various purposes like safety and security but also traffic management, logistics or protection of strategic areas, etc. In this monitoring, data errors, misuse, irregular behaviours at sea, malfeasance mechanisms and bad navigation practices have inevitably emerged either by inattentiveness or voluntary actions in order to circumvent, alter o

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32

Corrales-Astorgano, Mario, Pastora Martínez-Castilla, David Escudero-Mancebo, Lourdes Aguilar, César González-Ferreras, and Valentín Cardeñoso-Payo. "Automatic Assessment of Prosodic Quality in Down Syndrome: Analysis of the Impact of Speaker Heterogeneity." Applied Sciences 9, no. 7 (2019): 1440. http://dx.doi.org/10.3390/app9071440.

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Prosody is a fundamental speech element responsible for communicative functions such as intonation, accent and phrasing, and prosodic impairments of individuals with intellectual disabilities reduce their communication skills. Yet, technological resources have paid little attention to prosody. This study aims to develop an automatic classifier to predict the prosodic quality of utterances produced by individuals with Down syndrome, and to analyse how inter-individual heterogeneity affects assessment results. A therapist and an expert in prosody judged the prosodic appropriateness of a corpus o

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Okarma, Krzysztof, and Jaroslaw Fastowicz. "Adaptation of Full-Reference Image Quality Assessment Methods for Automatic Visual Evaluation of the Surface Quality of 3D Prints." Elektronika ir Elektrotechnika 25, no. 5 (2019): 57–62. http://dx.doi.org/10.5755/j01.eie.25.5.24357.

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Automatic visual quality assessment of the 3D printed surfaces is currently one of the most demanding challenges in additive manufacturing. Regardless of the applications of the computer vision for the 3D printing process monitoring purposes, a reliable surface quality evaluation during manufacturing may introduce brand new possibilities. The detection of some distortions and their automatic evaluation can be helpful when deciding to stop the process to save time, energy, and filament. In some cases, some further corrections can also be made for relatively small distortions. Since many general

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Jiménez-García, Jorge, Roberto Romero-Oraá, María García, María López-Gálvez, and Roberto Hornero. "Combination of Global Features for the Automatic Quality Assessment of Retinal Images." Entropy 21, no. 3 (2019): 311. http://dx.doi.org/10.3390/e21030311.

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Diabetic retinopathy (DR) is one of the most common causes of visual loss in developed countries. Computer-aided diagnosis systems aimed at detecting DR can reduce the workload of ophthalmologists in screening programs. Nevertheless, a large number of retinal images cannot be analyzed by physicians and automatic methods due to poor quality. Automatic retinal image quality assessment (RIQA) is needed before image analysis. The purpose of this study was to combine novel generic quality features to develop a RIQA method. Several features were calculated from retinal images to achieve this goal. F

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Ayala, U., T. Eftestøl, E. Alonso, et al. "Automatic detection of chest compressions for the assessment of CPR-quality parameters." Resuscitation 85, no. 7 (2014): 957–63. http://dx.doi.org/10.1016/j.resuscitation.2014.04.007.

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36

Vargas, J., V. Abrishami, R. Marabini, et al. "Particle quality assessment and sorting for automatic and semiautomatic particle-picking techniques." Journal of Structural Biology 183, no. 3 (2013): 342–53. http://dx.doi.org/10.1016/j.jsb.2013.07.015.

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LUNDSTEEN, CLAES, JAN MAAHR, and AND TOMMY GERDES. "Automatic assessment of the quality of G-banded metaphases A preliminary study." Journal of Radiation Research 33, SUPPLEMENT (1992): 152–58. http://dx.doi.org/10.1269/jrr.33.supplement_152.

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Küstner, T., S. Gatidis, A. Liebgott, et al. "A machine-learning framework for automatic reference-free quality assessment in MRI." Magnetic Resonance Imaging 53 (November 2018): 134–47. http://dx.doi.org/10.1016/j.mri.2018.07.003.

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39

Albaba, Adnan, Ivan Castro, Pascal Borzée, et al. "Automatic quality assessment of capacitively-coupled bioimpedance signals for respiratory activity monitoring." Biomedical Signal Processing and Control 68 (July 2021): 102775. http://dx.doi.org/10.1016/j.bspc.2021.102775.

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40

Horgan, G. W., S. V. Murphy, and G. Simm. "Automatic assessment of sheep carcasses by image analysis." Animal Science 60, no. 2 (1995): 197–202. http://dx.doi.org/10.1017/s1357729800008341.

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AbstractThe commercial value of animal carcasses depends not only on their weight but also on their composition and shape (termed conformation). This is usually assessed subjectively by a skilled inspector. In this paper an attempt is described to assess the saleable meat yield of sheep carcasses by automatic digital image analysis. A low-cost system based on a still video camera and a personal computer was used. The results indicate that better prediction of saleable meat yield can be obtained using objective measures of carcass shape than from subjective conformation scores. Information from

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41

Poroshin, A. A., A. A. Kondashov, and V. I. Sibirko. "Efficiency Assessment of Fire Alarm Systems Actuation at the Production Facilities for the Period 2016–2020." Occupational Safety in Industry, no. 4 (April 2021): 32–37. http://dx.doi.org/10.24000/0409-2961-2021-4-32-37.

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The issues of ensuring fire safety of industrial enterprises using automatic fire alarm systems is discussed in the article. The foreign and Russian experience of conducting assessment of the efficiency of automatic fire alarm systems is analyzed. Despite the improvement of the regulatory framework for automatic fire alarm systems, the creation of new devices and technologies for detecting fire hazards, the problem of improving the reliability of automatic fire alarm systems actuation remains relevant. Using the statistical data of the federal state information system «Federal data bank «Fires

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42

Ruiz-Lendínez, Juan J., Manuel A. Ureña-Cámara, José L. Mesa-Mingorance, and Francisco J. Quesada-Real. "Automatic Positional Accuracy Assessment of Imagery Segmentation Processes: A Case Study." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 430. http://dx.doi.org/10.3390/ijgi10070430.

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There are many studies related to Imagery Segmentation (IS) in the field of Geographic Information (GI). However, none of them address the assessment of IS results from a positional perspective. In a field in which the positional aspect is critical, it seems reasonable to think that the quality associated with this aspect must be controlled. This paper presents an automatic positional accuracy assessment (PAA) method for assessing this quality component of the regions obtained by means of the application of a textural segmentation algorithm to a Very High Resolution (VHR) aerial image. This me

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43

Xiao, Bo, Chewei Huang, Zac E. Imel, David C. Atkins, Panayiotis Georgiou, and Shrikanth S. Narayanan. "A technology prototype system for rating therapist empathy from audio recordings in addiction counseling." PeerJ Computer Science 2 (April 20, 2016): e59. http://dx.doi.org/10.7717/peerj-cs.59.

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Scaling up psychotherapy services such as for addiction counseling is a critical societal need. One challenge is ensuring quality of therapy, due to the heavy cost of manual observational assessment. This work proposes a speech technology-based system to automate the assessment of therapist empathy—a key therapy quality index—from audio recordings of the psychotherapy interactions. We designed a speech processing system that includes voice activity detection and diarization modules, and an automatic speech recognizer plus a speaker role matching module to extract the therapist’s language cues.

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44

Pagès, Guillaume, Benoit Charmettant, and Sergei Grudinin. "Protein model quality assessment using 3D oriented convolutional neural networks." Bioinformatics 35, no. 18 (2019): 3313–19. http://dx.doi.org/10.1093/bioinformatics/btz122.

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Abstract Motivation Protein model quality assessment (QA) is a crucial and yet open problem in structural bioinformatics. The current best methods for single-model QA typically combine results from different approaches, each based on different input features constructed by experts in the field. Then, the prediction model is trained using a machine-learning algorithm. Recently, with the development of convolutional neural networks (CNN), the training paradigm has changed. In computer vision, the expert-developed features have been significantly overpassed by automatically trained convolutional

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45

Luo, Fujun, Yousong Zhao, Xu Ma, and Xuan Wu. "Quality Assessment of Topographic Data Automatic Map Generalization from Scale 1:10 000 to 1:50 000." Proceedings of the ICA 2 (July 10, 2019): 1–6. http://dx.doi.org/10.5194/ica-proc-2-80-2019.

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<p><strong>Abstract.</strong> Map generalization is not only affected by the factors such as map usage, scale, and feature distribution characteristics, but also affected by the level of understanding and skill of the mapper or computer. Under the same Constraint of indicator conditions, different mapper or computer use the same data but product different maps. Automatic map generalization is a kind of mapping technology with strong artificial intelligence, subjectivity and regionality. The necessary map comprehensive knowledge, experience of mapping and the correct comprehen

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Shinde, Miss Priya R. "Automatic Quality Assessment of Apical Four-Chamber Echocardiograms using Deep Convolutional Neural Networks." International Journal for Research in Applied Science and Engineering Technology 7, no. 1 (2019): 389–91. http://dx.doi.org/10.22214/ijraset.2019.1068.

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Parkhomey, Igor, Juliy Boiko, Nataliia Tsopa, Iryna Zeniv, and Oleksander Eromenko. "Assessment of quality indicators of the automatic control system influence of accident interference." TELKOMNIKA (Telecommunication Computing Electronics and Control) 18, no. 4 (2020): 2070. http://dx.doi.org/10.12928/telkomnika.v18i4.15601.

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48

Shangguan, Songtao, Xiaolan Qiu, Kun Fu, Bin Lei, and Wen Hong. "GF-3 Polarimetric Data Quality Assessment Based on Automatic Extraction of Distributed Targets." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (2020): 4282–94. http://dx.doi.org/10.1109/jstars.2020.3012151.

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Pellot-Barakat, Claire, Muriel Lefort, Linda Chami, Mickaël Labit, Frédérique Frouin, and Olivier Lucidarme. "Automatic Assessment of Shear Wave Elastography Quality and Measurement Reliability in the Liver." Ultrasound in Medicine & Biology 41, no. 4 (2015): 936–43. http://dx.doi.org/10.1016/j.ultrasmedbio.2014.11.010.

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Wołk, Krzysztof, and Danijel Koržinek. "COMPARISON AND ADAPTATION OF AUTOMATIC EVALUATION METRICS FOR QUALITY ASSESSMENT OF RE-SPEAKING." Computer Science 18, no. 2 (2017): 129. http://dx.doi.org/10.7494/csci.2017.18.2.129.

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