Academic literature on the topic 'Area under the error curve'

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Journal articles on the topic "Area under the error curve"

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Fui, Liau Heng, and Dino Isa. "Feature Selection Based on Minimizing the Area Under the Detection Error Tradeoff Curve." International Journal of Applied Evolutionary Computation 2, no. 1 (2011): 18–33. http://dx.doi.org/10.4018/jaec.2011010102.

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Feature selection is crucial to select an “optimized” subset of features from the original feature set based on a certain objective function. In general, feature selection removes redundant or irrelevant data while retaining classification accuracy. This paper proposes a feature selection algorithm that aims to minimize the area under the curve of detection error trade-off (DET) curve. Particle swarm optimization (PSO) is employed to search for the optimal feature subset. The proposed method is implemented in face recognition and iris recognition systems. The result shows that the proposed met
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Chen, Li-Pang. "Analysis of Receiver Operating Characteristic Curves for Cure Survival Data and Mismeasured Biomarkers." Mathematics 13, no. 3 (2025): 424. https://doi.org/10.3390/math13030424.

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Cure models and receiver operating characteristic (ROC) curve estimation are two important issues in survival analysis and have received attention for many years. In the development of biostatistics, these two topics have been well discussed separately. However, a rare development in the estimation of the ROC curve has been made available based on survival data with the cure fraction. On the other hand, while a large body of estimation methods have been proposed, they rely on an implicit assumption that the variables are precisely measured. In applications, measurement errors are generally ubi
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Lum, Bert L., Kevin J. Lane, Timothy W. Synold, Adrian Goram, Steven B. Charnick, and Branimir I. Sikic. "Validation of a Limited Sampling Model to Determine Etoposide Area Under the Curve." Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 17, no. 5 (1997): 887–90. http://dx.doi.org/10.1002/j.1875-9114.1997.tb03779.x.

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Study Objective. To validate the utility of a previously reported 3‐point limited sampling model (LSM) for determining etoposide area under the curve to infinity (AUC∞).Design. Secondary analysis of data from two clinical trials of etoposide.Setting. University medical center clinical research center.Patients. Thirty‐four patients with different malignancies.Interventions. Etoposide was administered as a 2‐hour infusion to 34 patients. Serial plasma samples were drawn over 24 hours after the infusion and analyzed for etoposide by high‐performance liquid chromatography.Measurements and Main Res
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Grevel, J., and B. D. Kahan. "Abbreviated kinetic profiles in area-under-the-curve monitoring of cyclosporine therapy." Clinical Chemistry 37, no. 11 (1991): 1905–8. http://dx.doi.org/10.1093/clinchem/37.11.1905.

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Abstract Abbreviated kinetic profiles can reduce the number of phlebotomies and drug assays, and thereby the cost of area-under-the-curve (AUC) monitoring. In the present investigation, we used two independent data sets: group 1, 101 AUC profiles from 77 stable renal-transplant patients, which included a 5-h sample in addition to the usual 0-, 2-, 4-, 6-, 10-, 14-, and 24-h samples; and group 2, 100 profiles from 50 stable renal-transplant patients before and after a change in their daily oral dose of cyclosporine. Group I demonstrated a fair correlation between cyclosporine trough concentrati
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Xu, Xinfeng, Jian Shi, and Yuanjing Zhao. "Experimental Study on Plastic Deformation of EH690 Steel with the V-Notch during Falling Weight Impact Based on DIC." Processes 12, no. 4 (2024): 751. http://dx.doi.org/10.3390/pr12040751.

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In this study, a falling weight impact test was conducted on EH690 steel specimens with V-notches using Digital Imaging Correlation (DIC). In conjunction with scanning electron microscopy (SEM), the plastic deformation and crack initiation processes were examined at the notch of the specimen under different impact energies (90 J, 120 J, 135 J and 150 J). ABAQUS was used to simulate the plastic deformation of an EH690 specimen. The results show that the strain at the notch tip experienced some elasticity and yielding as the load increased under different impact energies. The load remains unchan
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Murdoch, Andrew R., Chad J. Herring, Charles H. Frady, Kevin See, and Chris E. Jordan. "Estimating observer error and steelhead redd abundance using a modified Gaussian area-under-the-curve framework." Canadian Journal of Fisheries and Aquatic Sciences 75, no. 12 (2018): 2149–58. http://dx.doi.org/10.1139/cjfas-2017-0335.

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This study examined how a suite of habitat and environmental variables relate to the ability of a stream surveyor to identify (observer efficiency) and distinguish (observer accuracy) steelhead (Oncorhynchus mykiss) redds from other stream features. Two existing spawning survey protocols that included one or two redd observers were used to develop models to estimate redd observer error. In most cases, steelhead redd abundances using raw redd counts were underestimated. Mean annual rates of observer efficiency ranged from 0.44 to 0.57, and observer accuracy ranged from 0.67 to 0.83. Regardless
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Bandos, Andriy I., Ben Guo, and David Gur. "Jackknife variance of the partial area under the empirical receiver operating characteristic curve." Statistical Methods in Medical Research 26, no. 2 (2014): 528–41. http://dx.doi.org/10.1177/0962280214551190.

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Receiver operating characteristic analysis provides an important methodology for assessing traditional (e.g., imaging technologies and clinical practices) and new (e.g., genomic studies, biomarker development) diagnostic problems. The area under the clinically/practically relevant part of the receiver operating characteristic curve (partial area or partial area under the receiver operating characteristic curve) is an important performance index summarizing diagnostic accuracy at multiple operating points (decision thresholds) that are relevant to actual clinical practice. A robust estimate of
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She, Yuxuan, Jiahao Cui, and Xinran Liu. "Comparison of methods for calculating confidence intervals of AUC in ROC curve considering sampling error." Applied and Computational Engineering 46, no. 1 (2024): 189–98. http://dx.doi.org/10.54254/2755-2721/46/20241317.

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The Receiver Operating Characteristic (ROC) curve is a crucial method for evaluating the effectiveness of diagnostic medical indicators and has found extensive applications. However, errors are inevitable in the data acquisition process. Therefore, discussions on error and various methods for improving and handling data have not only become the focus of academic discourse but also hold practical significance. Unlike general statistics, the diversity of error situations, ranges, and impacts in biostatistics often present unique challenges. In practical scenarios, such as drug experiments, limit
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Xu, Jingjing, Xu Xu, and Wenjuan Yao. "New Method for Calculating the Settlement of Single Pile and Pile Group in Soft Soil Area." Advances in Civil Engineering 2020 (November 10, 2020): 1–9. http://dx.doi.org/10.1155/2020/8816704.

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This paper fits the τ-z curve of a single pile by mathematical methods. Based on the one-dimensional similarity of the τ-z curves, the τ-z curves of single pile under different loads are derived. It studies the distribution of the axial force of a single pile by taking the self-weight of the pile and the pile-end resistance ratio into account and establishes the calculated equation of settlement for single pile. The mutual reinforcing effect between the piles is fully considered, and the settlement of each foundation pile in the pile group is deduced in use of shear displacement method. The ex
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Gaspari, F., M. F. Anedda, O. Signorini, G. Remuzzi, and N. Perico. "Prediction of cyclosporine area under the curve using a three-point sampling strategy after Neoral administration." Journal of the American Society of Nephrology 8, no. 4 (1997): 647–52. http://dx.doi.org/10.1681/asn.v84647.

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Accurate monitoring of cyclosporine (CsA) dosage is still a problem, because measurement of the area under the curve (AUC)--the most appropriate indicator of exposure to CsA--requires a number of blood samples to be taken over 12 h, which makes monitoring difficult in day-to-day clinical practice. This study investigated whether a limited sampling strategy in human kidney transplantation reflected the actual AUC better in patients given Neoral than in those being treated with Sandimmune. Stepwise multiple regression analysis of CsA blood levels recorded after Neoral administration to 20 renal
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Dissertations / Theses on the topic "Area under the error curve"

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Zheng, Shimin. "The ROC Curve and the Area under the Curve (AUC)." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/139.

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池田, 充., Takeo Ishigaki, Mitsuru Ikeda, 一信 山内, and Kazunobu Yamauchi. "Relationship between Brier score and area under the binormal ROC curve." Elsevier, 2002. http://hdl.handle.net/2237/5310.

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Sun, Fangfang. "Semi-parametric inference for the partial area under the ROC curve." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-11192008-113213/.

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Thesis (M.S.)--Georgia State University, 2008.<br>Title from file title page. Gengsheng Qin, committee chair; Yu-Sheng Hsu, Yixin Fang, Yuanhui Xiao, committee members. Description based on contents viewed July 22, 2009. Includes bibliographical references (p. 29-30).
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Galadima, Hadiza I. "Controlling for Confounding when Association is Quantified by Area Under the ROC Curve." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3905.

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In the medical literature, there has been an increased interest in evaluating association between exposure and outcomes using nonrandomized observational studies. However, because assignments to exposure are not done randomly in observational studies, comparisons of outcomes between exposed and non-exposed subjects must account for the effect of confounders. Propensity score methods have been widely used to control for confounding, when estimating exposure effect. Previous studies have shown that conditioning on the propensity score results in biased estimation of odds ratio and hazard ratio.
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Stukel, Diana M. (Diane Maria) Carleton University Dissertation Mathematics. "Small area estimation under one and two-fold nested error regression models." Ottawa, 1991.

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Wang, Wen-Chyi. "Regularized variable selection in proportional hazards model using area under receiver operating characteristic curve criterion." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9972.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Mathematics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Nguyen, Dong-Hai. "Facilitating students application of the integral and the area under the curve concepts in physics problems." Diss., Kansas State University, 2011. http://hdl.handle.net/2097/8631.

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Doctor of Philosophy<br>Department of Physics<br>Nobel S. Rebello<br>This research project investigates the difficulties students encounter when solving physics problems involving the integral and the area under the curve concepts and the strategies to facilitate students learning to solve those types of problems. The research contexts of this project are calculus-based physics courses covering mechanics and electromagnetism. In phase I of the project, individual teaching/learning interviews were conducted with 20 students in mechanics and 15 students from the same cohort in electromagnetism.
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Shen, C. "Some Significant Results in the Classification Analysis of the Spectroscopic Evaluation of Cervical Cancer." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/math_theses/9.

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Cervical Cancer is the second most common type of cancer in women worldwide (500,000 cases/year) and one of the leading causes of cancer-related mortality in women in developing countries (230,000 cases/year). The Spectrx LightTouch™ device uses light to detect chemical and structural changes in cervical tissue. Light responds differently when exposed to normal cells and cancerous cells. The purpose of this research is to find the best model that can be used to diagnose the early cervical cancerous conditions. To achieve this goal, we first tried to reduce the number of variables. We use sta
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Zhu, Yao-Wei. "LIMITED SAMPLING STRATEGIES FOR FACILE DETERMINATION OF THE AREA UNDER THE CURVE OF ANTI-CANCER AGENTS, PACLITAXEL AND SU5416." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin984580545.

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Dunning, Allison. "Comparing Bootstrap and Jackknife Variance Estimation Methods for Area Under the ROC Curve Using One-Stage Cluster Survey Data." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1849.

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The purpose of this research is to examine the bootstrap and jackknife as methods for estimating the variance of the AUC from a study using a complex sampling design and to determine which characteristics of the sampling design effects this estimation. Data from a one-stage cluster sampling design of 10 clusters was examined. Factors included three true AUCs (.60, .75, and .90), three prevalence levels (50/50, 70/30, 90/10) (non-disease/disease), and finally three number of clusters sampled (2, 5, or 7). A simulated sample was constructed for each of the 27 combinations of AUC, prevalence
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Books on the topic "Area under the error curve"

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Irvine, J. R. Area-under-the curve salmon escapement estimation manual. Dept. of Fisheries and Oceans, 1993.

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Cernat, Alexandru, and Joseph W. Sakshaug, eds. Measurement Error in Longitudinal Data. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198859987.001.0001.

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Understanding change is essential in most scientific fields. This is highlighted by the importance of issues such as shifts in public health and changes in public opinion regarding politicians and policies. Nevertheless, our measurements of the world around us are often imperfect. For example, measurements of attitudes might be biased by social desirability, while estimates of health may be marred by low sensitivity and specificity. In this book we tackle the important issue of how to understand and estimate change in the context of data that are imperfect and exhibit measurement error. The bo
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Candela-Toha, Angel, Teresa Tenorio, Aurora Lietor, and Fernando Liaño. Scoring systems in acute kidney injury patients. Edited by Norbert Lameire. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0236.

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The development of severity of illness scoring systems in the intensive care unit was prompted by the high mortality of patients in this setting. The great changes in the field of intensive care medicine have fostered new and more complex generations of scoring systems. There are several versions of the three major models used, APACHE, SAPS, and MPM. Among them, APACHE II remains the most frequently used. When these generic models are applied to acute kidney injury (AKI) patients, their discrimination ability measured by the area under the receiver operating characteristic curve is about 0.8.
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Skiba, Grzegorz. Fizjologiczne, żywieniowe i genetyczne uwarunkowania właściwości kości rosnących świń. The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, 2020. http://dx.doi.org/10.22358/mono_gs_2020.

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Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones a
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Book chapters on the topic "Area under the error curve"

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Kakas, Antonis C., David Cohn, Sanjoy Dasgupta, et al. "Area Under Curve." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_28.

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Scherrmann, Jean-Michel, Kim Wolff, Christine A. Franco, et al. "Area Under the Curve." In Encyclopedia of Psychopharmacology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1521.

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Hanson, R. Karl. "Area under the curve." In Prediction statistics for psychological assessment. American Psychological Association, 2022. http://dx.doi.org/10.1037/0000275-008.

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Abrams, David B., J. Rick Turner, Linda C. Baumann, et al. "Area Under the Curve (AUC)." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_986.

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Nahler, Gerhard. "area under the curve (AUC)." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_85.

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Ross, Amanda. "Area Under the Normal Curve." In Pedagogy and Content in Middle and High School Mathematics. SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6351-137-7_31.

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Walters, Stephen. "Area Under the Curve (AUC)." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_107.

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Melo, Francisco. "Area under the ROC Curve." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_209.

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Walters, Stephen. "Area Under the Curve (AUC)." In Encyclopedia of Quality of Life and Well-Being Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_107.

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Turner, J. Rick. "Area Under the Curve (AUC)." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_986.

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Conference papers on the topic "Area under the error curve"

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E., Robert, and Stephen Howell. "Alternate Characterizations of Fatigue Load Spectra." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11535.

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This paper improves prior efforts to provide a framework for fair, early, and meaningful assessment of rotorcraft fatigue durability. The authors provide methods to determine fatigue damage accumulation in accordance with piecewise exponential density functions, which represent the load spectra in a manner that is more manageable to the reader than prior efforts. The particular load spectra under consideration are for a conventional rotorcraft performing a scout mission. New formula are derived to calculate exceedances and cumulative damage fraction. Normalized critical endurance limits are de
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Wang, Yueping, and Ken J. KarisAllen. "Validating Impressed Current Cathodic Protection Numerical Modelling Results Using Physical Scale Modelling Data." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08253.

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Abstract Physical scale modelling (PSM) is an experimental technology that has been used to evaluate and design shipboard impressed current cathodic protection (ICCP) systems. PSM is also a preferred tool used for validating numerical modelling results owing to the well-controlled conditions in PSM experiments. However, one issue in using PSM for the validation of numerical modelling results is the lack of information on the actual polarization behavior of the cathodes on a model hull during PSM experiments. Consequently, the polarization curve data used as boundary conditions in numerical mod
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Suzuki, Ryosuke, Masaaki Matsubara, Kento Arai, Kosuke Takano, and Tsukasa Hagiwara. "Estimation of Stress-Displacement Curve of Multiple Notched Stainless Steel Pipe Under Combined Load of Axial Force and Bending." In ASME 2018 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/pvp2018-84523.

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Integrity evaluation of stainless steel piping with multiple flaws under combined load is difficult when one flaw is located near other flaw. This is because that the stress state in the piping becomes complicated as a result of the mutual interference of the stress fields occurred by flaws. If the stress-displacement curve of stainless steel piping with two flaws can be estimated by using the curves of single notched stainless steel piping before and after flaw coalescence, the integrity evaluation of stainless steel piping with two flaws becomes easy and simple. In this study, the stress-dis
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Khan, Maqsood A., and Zezhong C. Chen. "An Effective Approach to Approximating 2-D Free-Form Curve Offsets for B-Spline NC Tool Paths With Offset Error Globally Bounded." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29150.

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The topic of representing the offset of a 2-D B-spline curve in the same form has been under research for a long time, and it has many industrial applications, especially, in NC tool path generation for pocketing. For B-spline tool paths, it is often required that the tool paths have fewer control points, lower base function degree, and higher geometric accuracy. However, the existing methods often generate the offsets of 2-D free-form curves in the form of B-spline curves with high function degree and many control points. Although these offsets are useful in computer-aided design, they are in
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Li, Peng. "Orthogonal Curve Analysis of Human Scalp Shape." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001897.

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This paper presents a shape analysis on orthogonal feature curves of 3D bald head scans with the intention of predicting scalp shape under the hair. While there are currently a number of large scale 3D head data collections available around the world, they unfortunately all suffer from hair obstruction preventing an accurate description of true scalp shape. This study is aimed at exploring the relationship between a small set of head anthropometric measurements and the feature curves of the scalp shape based on a small set of 3D bald head scans. The feature curves include scalp profile along t
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Dong, Peng, Xinwei Liao, Zhiming Chen, and Hongyan Zhao. "An Efficient Approach for Automatic Well-Testing Interpretation Based on Surrogate Model and Deep Reinforcement Learning." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22072-ms.

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Abstract The artificial well-testing interpretation is a good tool for parameter evaluations, performance predictions, and strategy designs. However, non-unique solutions and computational inefficiencies are obstacles to practical interpretation, especially when artificial fractures are considered. Under this situation, a new deep reinforcement learning (DRL) based approach is proposed for automatic curve matching on vertically fractured well-testing interpretation. Based on deep deterministic policy gradient (DDPG) algorithm, the proposed DRL approach is successfully applied to automatic matc
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Oliveira Bento, Fábio Ricardo, Raquel Frizera Vassallo, and Jorge Leonid Aching Samatelo. "Detecção de Anomalias em Vias Públicas Usando Características Espaciais e um Classificador Sequencial Bidirecional." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1140.

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Detecção de anomalias consiste na identificação de eventos que não estão em conformidade com um padrão de comportamento esperado. No contexto de segurança em vias públicas, a detecção automática de eventos anômalos através de video, tem aplicação na identificação de comportamentos suspeitos. Nesse artigo é proposta uma abordagem para o problema da detecção automática de eventos anômalos em vı́deos de vias públicas baseado em um modelo de redes neurais profundas end-to-end, composto de duas partes: um extrator de caracterı́sticas espaciais baseado em uma rede neural convolucional pre-treinada,
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Meldrum, James, Peter Gill, Jonathan Mann, Alec McLennan, Norman Platts, and Michael Toal. "Shoulder Control for Fatigue Endurance Tests Carried Out Under Variable Amplitude Loading Conditions." In ASME 2023 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/pvp2023-107205.

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Abstract Strain-controlled fatigue endurance testing in Pressurised Water Reactor (PWR) environments is a well-established testing method that is undertaken in many laboratories around the world. Jacobs have performed such testing over a number of years using both hollow specimens where the water sample flows through the specimen, and bar specimens where the water sample is provided by housing the specimen in an autoclave. Hollow specimen rigs are no longer used in the United Kingdom (UK) due to uncertainties over the impact of pressure loading on fatigue life. The method of strain control for
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Javed, Nur Uddin, Yuvraj Singh, Shengzhe Tan, and Qadeer Ahmed. "Improving Vehicle Localization Confidence under Different Road Geometries." In WCX SAE World Congress Experience. SAE International, 2025. https://doi.org/10.4271/2025-01-8043.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;A significant challenge to the scalability of automated driving systems is the potential unavailability of GPS information for localization. To address this issue, a methodology using a static 2D map of road and lane geometry and vehicle on board sensors data is proposed to ensure reliable localization and navigation for automated vehicles in GPS-denied situations. In this study, a dead reckoning system based on vehicle kinematics is implemented by using onboard sensor data from the vehicle's Controller Area Network (CAN
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Kurokawa, Syuhei, and Yasutsune Ariura. "Measurement of Tooth Pair Deflections With Ultra High Resolution Encoders and Prediction of Transmission Error Under Load in High Precision." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34064.

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The purpose of this research is to predict transmission error under loading conditions in high accuracy. Transmission error is very important information in the evaluation of gear engagement and the prediction of vibration and noise from gear boxes. In some experiments, measurement of transmission error is sometimes performed to grasp an actual situation of gear static engagement. However, it is impossible to measure all of gear pairs in mass production for actual transmission manufacturers. The prediction of transmission error by the simulation in high accuracy should be powerful and effectiv
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Reports on the topic "Area under the error curve"

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Pang, Jinji. Nonparametric bootstrap methods for interval estimation of the area under the ROC curve for correlated diagnostic test data. Iowa State University, 2022. http://dx.doi.org/10.31274/cc-20240624-1064.

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Read, Matthew. Sign Restrictions and Supply-demand Decompositions of Inflation. Reserve Bank of Australia, 2024. http://dx.doi.org/10.47688/rdp2024-05.

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Policymakers are often interested in the degree to which changes in prices are driven by shocks to supply or demand. One way to estimate the contributions of these shocks is with a structural vector autoregression identified using sign restrictions on the slopes of demand and supply curves. The appeal of this approach is that it relies on uncontroversial assumptions. However, sign restrictions only identify decompositions up to a set. I characterise the conditions under which these sets are informative, examining both historical decompositions (contributions to outcomes) and forecast error var
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Chiu, Chia-Yu, and Amara Sarwal. Impact of area under the curve-based vancomycin dosing combination with anti-pseudomonal beta-lactam antibiotics: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0025.

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Review question / Objective: Did AUC-based vancomycin dosing reduce acute kidney injury than trough-based dosing when combined with anti-pseudomonal beta-lactam antibiotic? Condition being studied: Patients received Vancomycin combined with anti-pseudomonal beta-lactam antibiotics and monitor with either trough-base dosing or AUC-based dosing vancomycin. Information sources: All study types except case reports, case series, and conference abstracts were considered. PubMed, Embase, Cochrane Library, and ClinicalTrials.gov were searched from inception to November2022.
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Qin, Ling, Qiyu Liu, Hui Wang, and Lipeng Sun. Accuracy of ultrasound in distinguishing pathology of malignant thyroid diseases: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.12.0072.

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Review question / Objective: This meta-analysis aimed to determine the accuracy of ultrasound in distinguishing pathology of malignant thyroid diseases. Eligibility criteria: Type of study. This study will only include high quality clinical cohort or case control studies. Type of patients. The patients should be those who had undergone breast diseases. Intervention and comparison. This study compares AI with pathology for diagnosing breast diseases. Type of outcomes. The primary outcomes include sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio, and the ar
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Ismaiel, Abdulrahman, Oana Ciobanu, Mohamed Ismaiel, et al. Atherogenic Index of Plasma in Non-Alcoholic Fatty Liver Disease: Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0043.

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Review question / Objective: P - Non-alcoholic fatty liver disease (NAFLD) I - Atherogenic index of plasma (AIP) C - Imaging and histopathology O - Mean difference and Area Under the Curve S - Observational studies. Condition being studied: Non-alcoholic fatty liver disease (NAFLD), is a common liver disease characterized by the presence of excessive fat build up within hepatocytes, in the absence of other conditions that result in hepatic steatosis and with little to no alcohol consumption. It refers to a broad range of conditions including steatosis, non-alcoholic steatohepatitis (NASH) and
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Nova Martínez, Manuel Arturo, Elkin Giovani Sorza Álvarez, and Lina María Zabala Arango. Defined integration and applications for measuring areas and distances. Ediciones Universidad Cooperativa de Colombia, 2024. https://doi.org/10.16925/gcnc.103.

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Among the most relevant applications of the definite integral in functions of a real variable are the computation of areas in non-regular flat regions and measuring distances along curved paths, which are widely employed in engineering and physics. These notes present the concept of definite integration, emphasizing its connection to calculating the area under a curve, as well as the arc length formula and its practical application for length measurement. Problem scenarios are introduced to illustrate the utility of these concepts, aiming to provide a solid understanding of the topics and thei
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O. C. Bernardo, Felipe, Sebastião V. Canevarolo, and José A. C. G. Covas. Evaluation of temperature impact during extrusion on the mixing levels of PS/PA6 by optical monitoring. Universidad de los Andes, 2024. https://doi.org/10.51573/andes.pps39.gs.ex.2.

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This work uses on-line monitoring of turbidity to ascertain the temperature impact on the mixing performance of kneading blocks with different geometries. For this purpose, one of the barrel segments of the extruder was modified to incorporate four sampling devices and a slit die containing optical windows. The experiments consisted in reaching steady extrusion and then adding a small amount of tracer. Upon opening each sampling device, material was laterally detoured from the local screw channel and its turbidity were measured by the optical detector. Residence time distribution (RTD) curves
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Grimley. PR-015-08606-R01 Assessment of Dirty Meter Performance. Pipeline Research Council International, Inc. (PRCI), 2009. http://dx.doi.org/10.55274/r0010977.

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Like most metering technologies, ultrasonic meters are known to be affected by the buildup of material inside the meter and surrounding pipe due to common pipeline contaminants. The buildup affects the metering accuracy by reducing the flow area sampled by the ultrasonic transducers and by changing the shape of the velocity profile through the creation of additional roughness elements on the pipe wall. The goal of this project was to relate the contamination level to the measurement error. The approach was to evaluate the flow measurement performance of two commercially-available ultrasonic fl
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Tayeb, Shahab. Taming the Data in the Internet of Vehicles. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2014.

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As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusion Detection System (IDSs), by implementing anomaly detection, which differentiates benign data packets from malicious ones. For an IDS to best predict anomalies, the model is trained on data that is typically pre-processed through normalization and f
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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42562.

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This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from t
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