Relevant bibliographies by topics / Expert method of estimation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Expert method of estimation'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Expert method of estimation"

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Martishkin, V. V., and N. N. Prilepina. "Expert subjectivism accounting method at quality estimation." Izvestiya MGTU MAMI 5, no. 1 (2011): 295–303. http://dx.doi.org/10.17816/2074-0530-70049.

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This paper describes a method allowing to take into account the subjectivism of experts while estimating the quality of technical products. Subjectivism in the quality estimation is perceived as the influence of external environment described by the errors of 1-st and 2-nd kind. We show that subjectivity can not be accurately assessed based on the classical (two-dimensional) measurement logic. More accurate are the calculations based on four-digit logic of measurements, in which besides judgments like «true statement» and «true negation», there are two additional ones: «false allegation» and «
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Zhigirev, N. N., A. V. Bochkov, and A. V. Kuzminova. "Inversion method of consistency measure estimation expert opinions." Dependability 23, no. 4 (2023): 15–24. http://dx.doi.org/10.21683/1729-2646-2023-23-4-15-24.

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Aim. The problem of collective choice is the problem of combining several individual experts’ opinions about the order of preference of objects (alternatives) being compared into a single “group” preference. The complexity of collective choice consists in the requirement of processing the ratings of the compared alternatives set by different experts in their own private scales. The paper presents an original algorithm for processing expert preferences in respect to the problem of collective choice based on the concept of the overall “error” of the experts and measuring their contribution to th
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Tetyana, Otradska, Shybaieva Natalia, Shyrshkov Oleksandr, Rudnichenko Mykola, and Halustian Ashot. "DEVELOPMENT OF THE METHOD OF DISTANCES FOR PROCESSING EXPERT ESTIMATES IN INFORMATION SYSTEMS." Eastern-European Journal of Enterprise Technologies 2, no. 3 (98) (2019): 40–47. https://doi.org/10.15587/1729-4061.2019.163964.

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Current research focuses on expert estimation of indicators by employing a limited number of qualified experts, which involves considerable time and cost. The advent of modern information technology allows rapid and efficient assessment of indicators that characterize performance of enterprises. The main tool for solving the issue related to the credibility of such an estimation is the development of new methods for processing its results. We have proposed a method of distances to treat the results from expert estimations of indicators and examined the results of its work. To this end, theoret
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Kenyeres, Éva, and János Abonyi. "Model-Centric Integration of Uncertain Expert Knowledge into Importance Sampling-Based Parameter Estimation." Applied Sciences 14, no. 21 (2024): 9652. http://dx.doi.org/10.3390/app14219652.

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This study presents a model-based parameter estimation method for integrating and validating uncertainty in expert knowledge and simulation models. The parameters of the models of complex systems are often unknown due to a lack of measurement data. The experience-based knowledge of experts can substitute missing information, which is usually imprecise. The novelty of the present paper is a method based on Monte Carlo (MC) simulation and importance sampling (IS) techniques for integrating uncertain expert knowledge into the system model. Uncertain knowledge about the model parameters is propaga
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Tharwon, Arnuphaptrairong. "Enhancing Delphi Method with Algorithmic Estimates for Software Effort Estimation: An Experimental Study." International Journal of Software Engineering & Applications (IJSEA) 12, no. 4 (2021): 1–18. https://doi.org/10.5281/zenodo.5157639.

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Literature review shows that more accurate software effort and cost estimation methods are needed for software project management success. Expert judgment and algorithmic model estimation are two predominant methods discussed in the literature. Both are reported almost at the comparable level of accuracy performance. The combination of the two methods is suggested to increase the estimation accuracy. Delphi method is an encouraging structured expert judgment method for software effort group estimation but surprisingly little was reported in the literature. The objective of this study is to tes
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Doğan, Nuri, Ronald K. Hambleton, Meltem Yurtcu, and Sinan Yavuz. "The comparison of differential item functioning predicted through experts and statistical techniques." Cypriot Journal of Educational Sciences 13, no. 2 (2018): 137–48. http://dx.doi.org/10.18844/cjes.v13i2.2427.

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Validity is one of the psychometric properties of the achievement tests. To determine the validity, one of the examinations is item bias studies, which are based on Differential Item Functioning (DIF) analyses and field experts’ opinion. In this study, field experts were asked to estimate the DIF levels of the items to compare the estimations obtained from different statistical techniques. Firstly, the experts were asked to examine the questions and make the DIF level estimations according to the gender variable for the DIF estimation, and the agreement of the experts was examined. Secondly, D
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Kuznetsov, M. P., and V. V. Strijov. "Methods of expert estimations concordance for integral quality estimation." Expert Systems with Applications 41, no. 4 (2014): 1988–96. http://dx.doi.org/10.1016/j.eswa.2013.08.095.

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Marquardt, Kyle L., Daniel Pemstein, Brigitte Seim, and Yi-ting Wang. "What makes experts reliable? Expert reliability and the estimation of latent traits." Research & Politics 6, no. 4 (2019): 205316801987956. http://dx.doi.org/10.1177/2053168019879561.

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Experts code latent quantities for many influential political science datasets. Although scholars are aware of the importance of accounting for variation in expert reliability when aggregating such data, they have not systematically explored either the factors affecting expert reliability or the degree to which these factors influence estimates of latent concepts. Here we provide a template for examining potential correlates of expert reliability, using coder-level data for six randomly selected variables from a cross-national panel dataset. We aggregate these data with an ordinal item respons
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Albayrak, Nur Banu, and Yusuf Sinan Akgul. "Estimation of the Prostate Volume from Abdominal Ultrasound Images by Image-Patch Voting." Applied Sciences 12, no. 3 (2022): 1390. http://dx.doi.org/10.3390/app12031390.

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Estimation of the prostate volume with ultrasound offers many advantages such as portability, low cost, harmlessness, and suitability for real-time operation. Abdominal Ultrasound (AUS) is a practical procedure that deserves more attention in automated prostate-volume-estimation studies. As the experts usually consider automatic end-to-end volume-estimation procedures as non-transparent and uninterpretable systems, we proposed an expert-in-the-loop automatic system that follows the classical prostate-volume-estimation procedures. Our system directly estimates the diameter parameters of the sta
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Pashkevich, L. A. "ESTIMATION OF QUALITY AND COMPETITIVENESS OF DISHWASHING LIQUIDS WITH THE EXPERT-GRAPHIC METHOD." Education and Science without Limits: Fundamental and Applied Researches, no. 10 (November 25, 2019): 203–8. http://dx.doi.org/10.36683/2500-249x-2019-10-203-208.

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The research the purpose of which was in estimation of quality and competitiveness of dishwashing liquids was carried out. The research was carried out with expert-graphic method. In the article the results of efficiency estimation of dishwashing liquids by means of carrying out “plate’ test, and the results of expert estimation of marking informativeness, design and package convenience and price are presented. On the basis of score estimation of quality indicators and competitiveness of dishwashing means the competitiveness radar was constructed.
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Dissertations / Theses on the topic "Expert method of estimation"

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Watson, Andrew Donald. "An expert systems approach to cost estimation for steel structures using stochastic methods." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30110.

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Cost information is important to all parties in the steel fabrication industry: owners; engineers; and fabricators. The industry is driven by economic forces that encourage the efficient use of material, labour and equipment making cost estimation a vital tool in every decision. Unfortunately, these same forces hinder accurate estimation by imposing economic constraints that reduce the amount of time, effort and money that can be committed to the process; therefore, the development of new and improved cost estimation methods is encouraged. This thesis attempts to demonstrate the feasibility o
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Bublyk, М. "Basic methods of expert estimation of losses from origin of extraordinary situations and their prognostigation." Thesis, Видавництво СумДУ, 2009. http://essuir.sumdu.edu.ua/handle/123456789/13421.

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Axmann, Ondřej. "Metody tvorby odhadů při implementaci typového ASW." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-72427.

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This essay deals with estimation methods while implementation of Type application software. After the introductory part, which stipulates objectives of the work and descriptions of how to achieve them, is a general description of basic features of the project. After this part, there are characterized basic attributes of estimates, various approaches to their formation and problems that can accompany estimation activity. This work also describes diversification of information systems according to their way of development on Individual application software and Type application software. Then it
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Soulier, Bruno. "Sur la modélisation expérimentale en mécanique : précision, optimisation et applications industrielles." Cachan, Ecole normale supérieure, 1994. http://www.theses.fr/1994DENS0020.

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ADans le domaine de la mécanique, en l'absence de modèles et de connaissances précises sur un phénomène physique, les activités de recherche et développement incluent très souvent des études expérimentales. Les applications sont nombreuses, aussi bien pour la mise au point que pour l'optimisation de procédés de fabrication et de produits. Dans ces différentes applications, l'expérimentation est motivée par l'obtention d'un modèle, tiré d'un nombre limité d'expériences, qui permet d'effectuer des prédictions ou une optimisation à l'intérieur du domaine expérimental. L'approche phénoménologique
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Fayegh, A. David. "Flood advisor : an expert system for flood estimation." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25069.

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Expert computer programs have recently emerged from research on artificial intelligence as a practical problem-solving tool. An expert system is a knowledge-based program that imitates the problem-solving behaviour of a human expert to solve complex real-world problems. While conventional programs organize knowledge on two levels: data and program, most expert programs organize knowledge on three levels: data, knowledge base, and control. Thus, what distinguishes such a system from conventional programs is that in most expert systems the problem solving model is treated as a separate entity ra
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Xie, Tian Xing. "Using an expert system for earthmoving equipment selection and estimation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq23846.pdf.

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Dermarkar, Paul. "Innovative Gyroless Attitude Estimation Method." Thesis, KTH, Mekanik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202631.

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A key aspect in Attitude and Orbital Control Systems (AOCS) is the ability to estimateaccurately a spacecraft’s attitude and angular rate. While a classic gyrometer and star-trackerhybridization features high performances, gyroless solutions using only star-trackers as attitudesensors are often chosen to reduce the mission’s cost, when possible. Such an estimation is improvedusing the knowledge of the torque commanded by the spacecraft’s reaction wheels. The torqueestimate is however imperfect, mostly due to friction occurring on the wheels’ shafts. This paperpresents the research undertaken t
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Poulsen, Rachel Lynn. "XPRIME: A Method Incorporating Expert Prior Information into Motif Exploration." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2083.

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One of the primary goals of active research in molecular biology is to better understand the process of transcription regulation. An important objective in understanding transcription is identifying transcription factors that directly regulate target genes. Identifying these transcription factors is a key step toward eliminating genetic diseases or disease susceptibilities that are encoded inside deoxyribonucleic acid (DNA). There is much uncertainty and variation associated with transcription factor binding sites, requiring these sites to be represented stochastically. Although typically each
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Monchenko, O. V. "Uncertainly estimation in phase ultrasound method." Thesis, National Aviation University, 2014. http://er.nau.edu.ua/handle/NAU/25036.

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The new multi-layer materials widely be used in aircraft. In the article present the new method of multi-layer material thickness measurement, which is based on the digital Hilbert transformation and the signal unwrapped phase analysis and offered uncertainly estimation for two-layers materials.
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Drange, Knut. "Improve Expert Estimation Process : Practice Assessment And Proposals For A Consultant Company." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9631.

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<p>This thesis presents results of the estimation effort improvement study for a major consultant company in Norway. The company have already established an effort estimation process, but want additional help in improving the estimation process and tools. Two major problems are identified; some estimates have very low accuracy, and they use multiple estimation tools and methodologies. Part of the main research on the state of practice was to determine the effort estimation models used and effort estimation accuracy. To better understand how the effort estimation process worked we compared th
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Books on the topic "Expert method of estimation"

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László, Mátyás, ed. Generalized method of moments estimation. Cambridge University Press, 1999.

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Ontario. Ministry of the Environment. and Municipal Industrial Strategy for Abatement Program (Ontario), eds. Estimation of analytical method detection limits (MDL). Ministry of the Environment, 1988.

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D, Retherford Robert, and Choe Minja Kim 1941-, eds. The own-children method of fertility estimation. Population Institute, 1986.

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Lucas, James R. A variance component estimation method for sparse matrix applications. National Oceanic and Atmospheric Administration, National Ocean Service, Office of Charting and Geodetic Services, 1985.

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Lucas, James Raymond. A variance component estimation method for sparse matrix applications. National Oceanic and Atmospheric Administration, National Ocean Service, Office of Charting and Geodetic Services, 1985.

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Lucas, James Raymond. A variance component estimation method for sparse matrix applications. National Oceanic and Atmospheric Administration, National Ocean Service, Office of Charting and Geodetic Services, 1985.

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Vassiliades, V. M. Enhanced spectral estimation by dominant mode search method. UMIST, 1995.

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A, Dobriyal, ed. Linear calibration: A fiducial method for internal estimation. University of Toronto, Dept. of Statistics, 1986.

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1957-, Osman Osman M., and Robinson Enders A, eds. Seismic source signature estimation and measurement. Society of Exploration Geophysicists, 1996.

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Efron, Bradley. The bootstrap method for assessing statistical accuracy. University of Toronto, Dept. of Statistics, 1985.

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Book chapters on the topic "Expert method of estimation"

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Cheeseman, Peter. "A Method of Computing Maximum Entropy Probability Values for Expert Systems." In Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3961-5_13.

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Ball, Adrian, John Zigman, Arman Melkumyan, Anna Chlingaryan, Katherine Silversides, and Raymond Leung. "Addressing Application Challenges with Large-Scale Geological Boundary Modelling." In Springer Proceedings in Earth and Environmental Sciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19845-8_17.

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AbstractFor banded iron formation-hosted deposits accurate boundary modelling is critical to ore-grade estimation. Key to estimation fidelity is the accurate separation of the different domains within the ore body, requiring modelling of the boundaries between domains. This yields both theoretical and application challenges. We present a series of solutions for application challenges that arise when modelling large-scale boundaries employing a composition of Gaussian Process models on exploration and production hole data. We demonstrate these in the banded iron formation-hosted iron ore deposi
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Weichert, Dorina, Elena Haedecke, Gunar Ernis, Sebastian Houben, Alexander Kister, and Stefan Wrobel. "Bayesian Inference for Fatigue Strength Estimation." In Cognitive Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83097-6_6.

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Abstract A vital material property of metals is long life fatigue strength. It describes the maximum load that can be cyclically applied to a defined specimen for a number of cycles that is thought to represent an infinite lifetime. The experimental measurement of long life fatigue strength is costly, justifying the need to create a precise estimate with as few experiments as possible. We propose a new approach for estimating long life fatigue strength that defines a ready-to-use experimental and analysis procedure. It relies on probabilistic machine learning methods, efficiently connecting ex
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Müller, Moritz, Gunar Ernis, and Michael Mock. "Anomaly Detection in Multivariate Time Series Using Uncertainty Estimation." In Cognitive Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83097-6_14.

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Abstract Today’s industrial machines are equipped with several sensors that detect environmental changes and generate time series. One challenging task is the detection of anomalies in multivariate time series to proactively schedule machine maintenance and prevent failures during cost intense processes. Recent deep learning-based anomaly detectors demonstrate remarkable results as they can process large datasets of raw data. A common unsupervised method is to measure the discrepancy or anomaly score between observation and the expected behaviour approximated by a neural network. No approach i
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Ewald, Fiona Katharina, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, and Gunnar König. "A Guide to Feature Importance Methods for Scientific Inference." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63797-1_22.

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AbstractWhile machine learning (ML) models are increasingly used due to their high predictive power, their use in understanding the data-generating process (DGP) is limited. Understanding the DGP requires insights into feature-target associations, which many ML models cannot directly provide due to their opaque internal mechanisms. Feature importance (FI) methods provide useful insights into the DGP under certain conditions. Since the results of different FI methods have different interpretations, selecting the correct FI method for a concrete use case is crucial and still requires expert know
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Mandel, Alexander, Sergey Granin, and Viktor Laptin. "Expert-Classification Methods for Estimation of the Structure and Parameters of Controlled Queueing Systems." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85874-2_56.

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Naumann, Christian, Andreas Naumann, Nico Bertaggia, et al. "Hybrid Thermal Error Compensation Combining Integrated Deformation Sensor and Regression Analysis Based Models for Complex Machine Tool Designs." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34486-2_3.

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AbstractThermal errors remain the dominant sources of positioning inaccuracies in machine tools. Various methods of reducing them have already been developed, ranging from cooling and air conditioning strategies, thermally optimized machine tool designs and component optimization to accurate model based thermal error estimation methods used for control-integrated compensation. Some reasons for the limited success of these strategies are the general complexity of the thermo-elastic and thermodynamic processes involved and the fact that many models’ effectiveness is dependent on the machine tool
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Gottschalk, Petter, and Lars Gunnesdal. "Expert Elicitation for Estimation." In White-Collar Crime in the Shadow Economy. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75292-1_4.

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Frau, Juan, Vicenç Llario, and Joan Codina. "Motion Estimation from Target Tracking." In Expert Systems and Robotics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76465-3_24.

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Geist, Randolf, and Charles Hooper. "Choosing a Performance Optimization Method." In Expert Oracle Practices. Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2669-7_9.

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Conference papers on the topic "Expert method of estimation"

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Ge, Yuan, Yilun Liu, Chi Hu, et al. "Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.28.

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Jain, Swati, Andrea N. Sánchez, Shan Guan, et al. "Probabilistic Assessment of External Corrosion Rates in Buried Oil and Gas Pipelines." In CORROSION 2015. NACE International, 2015. https://doi.org/10.5006/c2015-05529.

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Abstract Quantitative risk assessment due to external corrosion requires an estimation of corrosion rates which is a challenging task for pipeline engineers because of the uncertainty in data related to environmental and physical variables such as soil type, drainage, soil chemistry, CP effectiveness, coating type and coating properties. Unfortunately, the research into quantitative assessment of external corrosion rates and the probability of failure of a buried pipeline is limited and has not progressed significantly. The reason is the complex mechanism of external corrosion, numerous factor
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Liang, Jingkang, and G�rkan Sin. "Enhancing Fault diagnosis for Chemical Processes via MSCNN with Hyperparameters Optimization." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.181373.

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Fault diagnosis is critical for ensuring the safety and efficiency of chemical processes, as undetected faults can lead to catastrophic consequences. While deep learning-based methods have shown promise in this field, they often require manual hyperparameter tuning, which is not efficient since they heavily rely on expert knowledge and need iterative trial-and-error. This work introduces a novel approach combining a Multiscale Convolutional Neural Network (MSCNN) with Tree-Structured Parzen Estimator (TPE) for automated hyperparameter optimization to enhance the performance of fault diagnosis
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Servia, Miguel �ngel de Carvalho, Ilya Orson Sandoval, King Kuok (Mimi) Hii, Klaus Hellgardt, Dongda Zhang, and Ehecatl Antonio del Rio Chanona. "Physics-Informed Automated Discovery of Kinetic Models." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.152436.

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The industrialization of catalytic processes requires reliable kinetic models for design, optimization, and control. While white box models are preferred for their interpretability, they demand considerable time and expertise for their construction. This research enhances the ADoK-S framework by embedding prior expert knowledge using mathematical constraints and integrating uncertainty quantification. The improved methodology consists of: (I) a genetic programming algorithm with constraints to produce physically coherent candidate models, (II) a sequential optimization algorithm for parameter
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Song, Fengmei, Baotong Lu, Ming Gao, and Mimoun Elboujdaini. "Field Methods for Estimating Pipeline Stress Corrosion Crack Growth Rate at Near-Neutral pH." In CORROSION 2012. NACE International, 2012. https://doi.org/10.5006/c2012-01167.

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Abstract Crack growth rate (CGR) is a key parameter used in pipeline integrity management for estimating inspection or reassessment intervals due to stress corrosion cracking (SCC). The current industrial practice of estimating CGRs is based on empirical approaches, assuming a constant rate or a rate obtained through linear extrapolation. A semi-empirical model was recently reported that enabled the prediction of CGRs for pipeline near-neutral pH SCC. In this work, a four-step procedure was developed and proposed to apply this model for field use. The method developed in this work may serve as
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Reddy, Chigicherla Vinay, Chennur Bala Sai Teja, Burada Pavan Kumar, Chagaleti Srinathreddy, and V. V. Satyanarayana Tallapragada. "Real- Time Image-based Calorie Estimation using YOLOv4 Object Detection." In 2024 International Conference on Expert Clouds and Applications (ICOECA). IEEE, 2024. http://dx.doi.org/10.1109/icoeca62351.2024.00137.

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Jeyananthan, N., A. Shandraseharan, and U. Kulatunga. "ACCURACY OF TRADITIONAL CONTINGENCY ESTIMATION IN THE CONSTRUCTION INDUSTRY." In The 9th World Construction Symposium 2021. The Ceylon Institute of Builders - Sri Lanka, 2021. http://dx.doi.org/10.31705/wcs.2021.5.

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Contingency amounts are allocated in the construction projects to deal with uncertainties arising during the projects. Contingency amounts are usually estimated traditionally by simply adding a percentage of the estimated contract amount. However, the traditional system of contingency estimation is heavily criticised as ineffective due to several reasons. Therefore, this research focuses on evaluating the level of accuracy of current contingency estimation techniques in the Sri Lankan context. This study adopted a mixed-method research approach. Empirical data were collected using expert inter
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Ohunov, Dilshod, Mamatzhon Ohunov, and M. Akbarova. "THE GENERAL METHODOLOGY OF THE ESTIMATION AND CHOICE OF COMPONENTS OF THE AUTOMATED SYSTEMS." In CAD/EDA/SIMULATION IN MODERN ELECTRONICS 2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/conferencearticle_5e02820fe9c288.08450433.

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The generalised approach to realisation of problems of a choice of design decisions is considered, and the choice problem is considered as decision-making process. As estimation methods expert estimations are used.
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Vianna, I. G. P., I. F. Valladares, C. E. P. Pacheco, A. C. de A. Brito, F. R. Costa, and D. H. Mendes. "Decision Tree Regression Method Applied in Well Clustering: A Supervised Approach." In Offshore Technology Conference Brasil. OTC, 2023. http://dx.doi.org/10.4043/32917-ms.

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Abstract Drilling rigs are an expensive resource in the oil and gas industry; hence, planning their time properly is necessary. Estimating activity durations plays a crucial role in the rigs' planning. The selection of correlated wells to be used in estimation models is vital for good duration estimative. Based on this necessity, we present a regression supervised method to cluster wells. Results were compared with traditional unsupervised clustering methods. The developed method transforms a machine learning unsupervised problem (without a target) into a machine learning regression supervised
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Zhantlesova, Assemgul Beisembaevna, Bibigul Beisembaevna Issabekova, and Daniel Alekseev Nosovskii. "The control system of a steady short-circuit current measurement using the expert estimation method." In 2015 International Siberian Conference on Control and Communications (SIBCON). IEEE, 2015. http://dx.doi.org/10.1109/sibcon.2015.7147056.

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Reports on the topic "Expert method of estimation"

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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest
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Volpe Martincus, Christian, and Jerónimo Carballo. Is Export Promotion Effective in Developing Countries? Firm-Level Evidence on the Intensive and Extensive Margins of Exports. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0011220.

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How effective are export promotion activities in developing countries? What are the channels through which export promotion affects firms' exports, the intensive margin or the extensive margin? Empirical evidence in this respect is scarce. We aim at filling this gap in the literature by providing evidence on the impact of export promotion on export performance using a unique firm-level dataset for Peru over the period 2001-2005. We find that export promotion actions are associated with increased exports, primarily along the extensive margin, both in terms of markets and products. This result i
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Engel, David W., and Angela C. Dalton. CCSI Risk Estimation: An Application of Expert Elicitation. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1064598.

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Fallon, Corey K., Tianzhixi Yin, and Alexander Anderson. Method for Generating Expert Derived Confidence Scores. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/2203252.

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Hansen, Erwin, and Roberto Alvarez. Corporate Currency Risk and Hedging in Chile: Real and Financial Effects. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0011780.

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This paper examines a panel (1994-2014) of Chilean non-financial firms, both publicly listed and private, which was built to analyze the determinants of the use of foreign currency debt and their potential consequences for firm investment and profitability. It is found that foreign assets and the use of FX derivatives are positively associated with firms' use of foreign currency debt. Also, depending on the estimation method, exports appear as an important determinant of the use of foreign currency debt. In terms of the potential effect of holding foreign currency debt on firms' performance af
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Gupta, Shanti S., and Jinjun Lu. Empirical Bayes Estimation With Kernel Sequence Method. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada396449.

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Coyle, J. M., and J. E. Flaherty. Adaptive Finite Element Method II: Error Estimation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada288358.

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10

Raviv, Daniel. An integration-based method for depth estimation. National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4669.

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