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Relevant bibliographies by topics / Bayes power

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Academic literature on the topic 'Bayes power'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Bayes power"

1

McKenzie, Craig R. M. "Bayes plus environment." Behavioral and Brain Sciences 32, no. 1 (2009): 93–94. http://dx.doi.org/10.1017/s0140525x09000399.

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AbstractOaksford & Chater's (O&C's) account of deductive reasoning is parsimonious at a local level (because a rational model is used to explain a wide range of behavior) and at a global level (because their Bayesian approach connects to other areas of research). Their emphasis on environmental structure is especially important, and the power of their approach is seen at both the computational and algorithmic levels.

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Mugdadi, Abdel-Razzaq, and Min A. "Bayes estimation of the power hazard function." Journal of Interdisciplinary Mathematics 12, no. 5 (2009): 675–89. http://dx.doi.org/10.1080/09720502.2009.10700653.

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Calabria, R., and G. Pulcini. "Bayes inference for the modulated power law process." Communications in Statistics - Theory and Methods 26, no. 10 (1997): 2421–38. http://dx.doi.org/10.1080/03610929708832057.

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Kim, Hyungchul, and Chanan Singh. "Power system probabilistic security assessment using Bayes classifier." Electric Power Systems Research 74, no. 1 (2005): 157–65. http://dx.doi.org/10.1016/j.epsr.2004.10.004.

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Lerche, Hans Rudolf. "The Shape of Bayes Tests of Power One." Annals of Statistics 14, no. 3 (1986): 1030–48. http://dx.doi.org/10.1214/aos/1176350048.

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Ghosh, Abhik, and Ayanendranath Basu. "Robust Bayes estimation using the density power divergence." Annals of the Institute of Statistical Mathematics 68, no. 2 (2015): 413–37. http://dx.doi.org/10.1007/s10463-014-0499-0.

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Brown, Timothy M. "Automated p-mode identification using Bayes' theorem." Symposium - International Astronomical Union 123 (1988): 491–94. http://dx.doi.org/10.1017/s0074180900158590.

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The task of interpreting p-mode spectra is complicated by the presence of a very large number of oscillation modes, each of which may appear (because of aliasing) in the power spectra corresponding to several values of l and m. Identifying peaks in a power spectrum with particular modes in an interactive fashion thus quickly becomes impractical. Here I describe an automated method for doing this identification. The method is based on an application of Bayes' theorem, which provides a simple way to use prior knowledge about the oscillation spectrum. The method takes as input the observed power

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Pavithraa, G., and S. Sivaprasad. "Analysis And Comparison Of Prediction Of Heart Disease Using Novel Random Forest And Naive Bayes Algorithm." CARDIOMETRY, no. 25 (February 14, 2023): 788–93. http://dx.doi.org/10.18137/cardiometry.2022.25.788793.

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Aim : Prediction of heart disease using Novel Random Forest and comparing its accuracy with Naive Bayes algorithm. Materials and methods: Two groups are proposed for predicting the accuracy (%) of heart disease. Namely, the Novel Random Forest and Naive Bayes algorithm. Here we take 20 samples each for evaluation and compared. The sample size was calculated using G power with pretest power at 80% and the alpha of 0.05 value. Result : The Novel Random Forest gives better accuracy (86.40%) compared to the Naive Bayes accuracy (80.08%). Therefore the statistical significance of Novel Random Fores

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Sugasawa, S. "Robust empirical Bayes small area estimation with density power divergence." Biometrika 107, no. 2 (2020): 467–80. http://dx.doi.org/10.1093/biomet/asz075.

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Summary A two-stage normal hierarchical model called the Fay–Herriot model and the empirical Bayes estimator are widely used to obtain indirect and model-based estimates of means in small areas. However, the performance of the empirical Bayes estimator can be poor when the assumed normal distribution is misspecified. This article presents a simple modification that makes use of density power divergence and proposes a new robust empirical Bayes small area estimator. The mean squared error and estimated mean squared error of the proposed estimator are derived based on the asymptotic properties o

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Liu, Yang, Majid Khan, Syed Masroor Anwar, Zahid Rasheed, and Navid Feroze. "Stress-Strength Reliability and Randomly Censored Model of Two-Parameter Power Function Distribution." Mathematical Problems in Engineering 2022 (June 24, 2022): 1–12. http://dx.doi.org/10.1155/2022/5509684.

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The power function distribution is a flexible waiting time model that may provide better fit for some failure data. This paper presents the Bayes estimates of two-parameter power function distribution under progressive censoring. Different progressive censoring schemes have been used for the analysis. The Bayes estimates are obtained, using conjugate priors, under five loss functions including square error, precautionary, weighted, LINEX, and DeGroot loss function. The Gibbs sampling algorithm and Tierney and Kadane’s Approximation are used for the Bayes estimates of model parameters, reliabil

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Dissertations / Theses on the topic "Bayes power"

1

Chen, Zhao. "Bayesian and Empirical Bayes approaches to power law process and microarray analysis." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000430.

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DI, BRISCO AGNESE MARIA. "Statistical Network Analysis: a Multiple Testing Approach." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/96090.

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The problem of identifying connections between nodes in a network model is of fundamental importance in the analysis of brain networks because each node represents a specific brain region that can potentially be connected to other brain regions by means of functional relations; the dynamical behavior of each node can be quantified by adopting a correlation measure among time series. In this contest, the whole set of links between nodes in a network can be represented by means of an adjacency matrix with high dimension, that can be obtained by performing a huge number of simultaneous tests on

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Lopez, Paola Johana Saboya. "Uma contribuição ao problema de detecção de ruídos impulsivos para power line communication." Universidade Federal de Juiz de Fora (UFJF), 2013. https://repositorio.ufjf.br/jspui/handle/ufjf/4155.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-04-24T15:28:35Z No. of bitstreams: 1 paolajohanasaboyalopez.pdf: 1042873 bytes, checksum: a46dd95de00e062cba39ef4b9b642462 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-04-24T17:09:24Z (GMT) No. of bitstreams: 1 paolajohanasaboyalopez.pdf: 1042873 bytes, checksum: a46dd95de00e062cba39ef4b9b642462 (MD5)<br>Made available in DSpace on 2017-04-24T17:09:24Z (GMT). No. of bitstreams: 1 paolajohanasaboyalopez.pdf: 1042873 bytes, checksum: a46dd95de00e062cba39ef4b9b642462 (MD5) Previ

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Do, Van-Cuong. "Analyse statistique de processus stochastiques : application sur des données d’orages." Thesis, Lorient, 2019. http://www.theses.fr/2019LORIS526/document.

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Les travaux présentés dans cette thèse concernent l'analyse statistique de cas particuliers du processus de Cox. Dans une première partie, nous proposons une synthèse des résultats existants sur le processus power-law (processus d'intensité puissance), synthèse qui ne peut être exhaustive étant donné la popularité de ce processus. Nous considérons une approche bayésienne pour l'inférence des paramètres de ce processus qui nous conduit à introduire et à étudier en détails une distribution que nous appelons loi H-B. Cette loi est une loi conjuguée. Nous proposons des stratégies d'élicitation des

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Ötsch, Rainald. "Stromerzeugung in Deutschland unter den Rahmenbedingungen von Klimapolitik und liberalisiertem Strommarkt : Bewertung von Kraftwerksinvestitionen mit Bayes’schen Einflussdiagrammen." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2014/6905/.

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Mit der Liberalisierung des Strommarkts, den unsicheren Aussichten in der Klimapolitik und stark schwankenden Preisen bei Brennstoffen, Emissionsrechten und Kraftwerkskomponenten hat bei Kraftwerksinvestitionen das Risikomanagement an Bedeutung gewonnen. Dies äußert sich im vermehrten Einsatz probabilistischer Verfahren. Insbesondere bei regulativen Risiken liefert der klassische, häufigkeitsbasierte Wahrscheinlichkeitsbegriff aber keine Handhabe zur Risikoquantifizierung. In dieser Arbeit werden Kraftwerksinvestitionen und -portfolien in Deutschland mit Methoden des Bayes'schen Risikomanageme

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Molinares, Carlos A. "Parametric and Bayesian Modeling of Reliability and Survival Analysis." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3252.

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The objective of this study is to compare Bayesian and parametric approaches to determine the best for estimating reliability in complex systems. Determining reliability is particularly important in business and medical contexts. As expected, the Bayesian method showed the best results in assessing the reliability of systems. In the first study, the Bayesian reliability function under the Higgins-Tsokos loss function using Jeffreys as its prior performs similarly as when the Bayesian reliability function is based on the squared-error loss. In addition, the Higgins-Tsokos loss function was foun

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Tanaka, Hideyuki. "The Relationship between Supervisors' Power Bases and Supervisory Styles." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/1025.

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Despite its critical role in counselor training, empirical research on clinical supervision is generally limited (Bernard & Goodyear, 2003; Ellis & Ladany, 2007). This is also applied to an area of power dynamics in supervision. This study tested the relationship between the two aspects of power dynamics; namely, supervisors' power bases (i.e., sources of influencing others) and supervisory styles (i.e., typical ways of shaping supervision), based on the system's approach to supervision model (Holloway, 1995). This research was a correlational design. Students in masters' and doctoral counseli

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Deus, Daniella Pereira de. "Qualidade de Vida no Trabalho: análise de um modelo mediacional." Pontifícia Universidade Católica de Goiás, 2006. http://localhost:8080/tede/handle/tede/1942.

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Made available in DSpace on 2016-07-27T14:21:13Z (GMT). No. of bitstreams: 1 Daniella Pereira de Deus.pdf: 630403 bytes, checksum: 9ebdd4b8b9748893639d89f02fa907a1 (MD5) Previous issue date: 2006-11-21<br>This study aimed at analyzing the mediating power of organizational values in the relation between the power bases and life quality at work. In order to do so, we propose an analysis model that investigates the influence of the organizational values in the relation between the power bases and life quality at work. We counted on the participation of 227 workers of four organizations a publ

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Kelham, C. A. "Bases of magnatial power in later fifteenth-century Scotland." Thesis, University of Edinburgh, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372968.

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Chow, David J. "Exploring the feasibility of providing electrical power to remote bases via space-based solar power satellites." Monterey California. Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34645.

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Approved for public release; distribution is unlimited<br>Delivering electrical power to remote military bases can be an expensive and dangerous task. The idea of delivering renewable power to remote military bases through space-based solar power has existed for many years, but has not yet materialized. This research sought to examine existing studies and leverage their findings to determine a systems architecture and subsequent design alternatives that could deliver space-based solar power to a military base in Afghanistan. Three design alternatives were created and were based on the defined

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Books on the topic "Bayes power"

1

Wrong, Dennis Hume. Power: Its forms, bases, and uses. Transaction Publishers, 1995.

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Gaál, István. Diophantine Equations and Power Integral Bases. Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0085-7.

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Gaál, István. Diophantine Equations and Power Integral Bases. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23865-0.

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4

Heinemann, Patrick. Power Bases and Informational Influence Strategies. Springer Fachmedien, 2008.

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Joseph, Appelbaum, and United States. National Aeronautics and Space Administration., eds. Photovoltaic power system considerations for future lunar bases. National Aeronautics and Space Administration, 1989.

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6

S, Coleman Anthony, and United States. National Aeronautics and Space Administration., eds. Power management and distribution considerations for a lunar base. National Aeronautics and Space Administration, 1992.

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Cataldo, Robert L. Power requirements for the First Lunar Outpost (FLO). National Aeronautics and Space Administration, 1993.

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8

C, Riddle Anthony, and Aeronomy Laboratory (U.S.), eds. Poker Flat MST radar data bases. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Aeronomy Laboratory, 1989.

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C, Riddle Anthony, and Aeronomy Laboratory (U.S.), eds. Poker Flat MST radar data bases. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Aeronomy Laboratory, 1989.

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Guthrie, G. L. Correlations between power and test reactor data bases. Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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Book chapters on the topic "Bayes power"

1

Lerche, Hans Rudolf. "Bayes tests of power one." In Lecture Notes in Statistics. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4615-6569-7_7.

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2

Shivakumar, B. R., and B. G. Nagaraja. "Bayes’ Classifier for Mapping Intermediate and Heterogeneous RS Imagery." In Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0443-0_2.

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Ye, Meng, Huaxu Zhou, Yaodong Ju, et al. "Congestion Link Inference Algorithm of Power Data Network Based on Bayes Theory." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_104.

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Shrivastava, Divya Rishi, Shahbaz Ahmed Siddiqui, and Kusum Verma. "Synchrophasor Measurements Assisted Naïve Bayes Classification Based Real-Time Transient Stability Prediction of Power System." In Intelligent Computing Techniques for Smart Energy Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0214-9_103.

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Narasimhan, S., and V. Rajendran. "SVM and Naïve Bayes Models for Estimation of Key Process Variables in Nuclear Power Plant." In Studies in Computational Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68291-0_22.

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Chen, Liming, Xuzhu Dong, Baoren Chen, et al. "Research on Power-Stealing Behaviors of Large Users Based on Naive Bayes and K-means Algorithm." In Proceedings of the 11th International Conference on Computer Engineering and Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6554-7_41.

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Lerche, Hans Rudolf. "An application of the tangent approximation: a heuristic derivation of the shape of Bayes tests of power one." In Lecture Notes in Statistics. Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4615-6569-7_8.

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Gaál, István. "Relative Power Integral Bases." In Diophantine Equations and Power Integral Bases. Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0085-7_9.

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Bolland, Eric. "The Eight Bases of Power." In Clout. Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137348210_3.

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Wehenkel, Louis A. "Security Information Data Bases." In Automatic Learning Techniques in Power Systems. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5451-6_9.

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Conference papers on the topic "Bayes power"

1

Chiodo, Elio, and Luigi Pio Di Noia. "Bayes Reliability Estimation of Motor Drives Redundant Configuration." In 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2024. http://dx.doi.org/10.1109/speedam61530.2024.10609091.

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Huang, Haiquan, Xu Gui, Fei Jiang, and Tianqiu Ji. "Quality hazard diagnosis of hand-held power tools based on naive Bayes algorithm." In International Conference on Smart Transportation and City Engineering (STCE 2024), edited by Zhengang Feng and Miroslava Mikusova. SPIE, 2025. https://doi.org/10.1117/12.3060634.

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Chiodo, Elio. "Bayes Availability Estimation of the “k-out-of-n” Partially Redundant System by Lognormal Prior Distributions." In 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). IEEE, 2024. http://dx.doi.org/10.1109/speedam61530.2024.10609118.

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Karimzada, Orkhan, and Giulio De Donato. "Development of GaN - bases three-phase Grid- Tie Inverter." In 2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems (PEDG). IEEE, 2024. http://dx.doi.org/10.1109/pedg61800.2024.10667396.

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Zhang, Kunpeng, Tianhao Liu, and Yutian Liu. "Optimal Dispatch for Large-Scale Renewable Energy Bases Without Conventional Power Support." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902821.

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Shen, Yuming, Hao Yang, Jiayin Xu, Jiaqing Wang, and Qianlong Zhu. "Stability Enhancement of Renewable Energy Bases Using High-inertia Synchronous Condensers." In 2025 IEEE International Conference on Power Systems and Smart Grid Technologies (PSSGT). IEEE, 2025. https://doi.org/10.1109/pssgt64932.2025.11034027.

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Liu, Kewen. "Research on Optimal Configuration of New Energy Storage in Clean Energy Bases." In 2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET). IEEE, 2024. http://dx.doi.org/10.1109/icepet61938.2024.10627624.

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Zhang, Yiming, Shihai Zhu, and Xixiu Wu. "Lighting Protection Design and Short-Circuit Calculation of Land-Based Ship Bases." In 2024 6th International Conference on Energy Systems and Electrical Power (ICESEP). IEEE, 2024. http://dx.doi.org/10.1109/icesep62218.2024.10652192.

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Hou, Jiangwei, Pengfei Fan, and Chengshan Wang. "Market Clearing for Large-scale Renewables' Bases in the Inter-provincial Electricity Market." In 2024 6th International Conference on Energy Systems and Electrical Power (ICESEP). IEEE, 2024. http://dx.doi.org/10.1109/icesep62218.2024.10652027.

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Binh, P. T. T., T. T. T. Loan, and T. Q. D. Khoa. "Application of hidden Markov and Bayes for demand forecasting." In 2006 IEEE Power India Conference. IEEE, 2006. http://dx.doi.org/10.1109/poweri.2006.1632568.

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Reports on the topic "Bayes power"

1

Bloomfield, H. S. Small reactor power systems for manned planetary surface bases. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5490023.

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Wilson, Suzanne H. Joint Military Bases: Power Projection Platforms for the 21st Century. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada326980.

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Rittmann, Bruce E., Cesar I. Torres, Rosa Krajmalnik-Brown, Sudeep Popat, and Prathap Parameswaran. Development of an Acetate- or Sugar-fed Microbial Power Generator for Military Bases. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada563618.

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Rittmann, Bruce E. Development of an Acetate-Fed or Sugar-Fed Microbial Power Generator for Military Bases. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada535271.

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Ceylan, Ismail Ilkan, Stefan Borgwardt, and Thomas Lukasiewicz. Most Probable Explanations for Probabilistic Database Queries. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2023.220.

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Forming the foundations of large-scale knowledge bases, probabilistic databases have been widely studied in the literature. In particular, probabilistic query evaluation has been investigated intensively as a central inference mechanism. However, despite its power, query evaluation alone cannot extract all the relevant information encompassed in large-scale knowledge bases. To exploit this potential, we study two inference tasks; namely finding the most probable database and the most probable hypothesis for a given query. As natural counterparts of most probable explanations (MPE) and maximum

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Sierra Ochoa, Carmen Sofia, and Ariel Enrique Pastrana Arias (docente). Bases neurobiológicas de la adicción a la nicotina aplicadas a su tratamiento farmacológico. Universidad de Cartagena, 2020. https://doi.org/10.32997/11227/18442.

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La epidemia de tabaquismo es una de las mayores amenazas para la salud pública que ha tenido que afrontar el mundo. Mata a más de 8 millones de personas al año, de las cuales más de 7 millones son consumidores directos y alrededor de 1,2 millones son no fumadores expuestos al humo ajeno. El tabaco es perjudicial en todas sus modalidades y no existe un nivel seguro de exposición al tabaco. El hecho de que sea legal consumirlo, su fácil adquisición y que muchas personas no lo ven como un problema de salud hace que cada día se siga consumiendo y que muchas personas empiecen a fumar desde edades m

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Abrahamson, S., M. Bender, S. Book, et al. Health effects models for nuclear power plant accident consequence analysis: Low LET radiation: Part 2, Scientific bases for health effects models. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5901689.

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Faundes Peñafiel, Juan Jorge. Una Nueva Constitución Plurinacional. Bases para la discusión. Comisión 1. Sistema Político, Gobierno, Poder Legislativo y Sistema Electoral. Universidad Autónoma de Chile, 2022. http://dx.doi.org/10.32457/12728/10148202264.

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El Estado de Chile no ha reconocido a los pueblos indígenas en su Constitución a 30 años del retorno a la democracia y sus derechos solo se fueron incorporando por la vía de la ratificación de instrumentos internacionales en materia de derechos humanos. Desde esa perspectiva, el “control de convencionalidad” de la Corte Interamericana de Derechos Humanos (Corte IDH) adquirió un rol central, más allá de sus luces y sombras en el debate doctrinario. Tras la “crisis social” de octubre de 2019 y el proceso constituyente que desencadenó, se instaló la cuestión del reconocimiento de los pueblos indí

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Nallar, Melisa, and Amelia Gelina. Enhancing building thermal comfort : a review of phase change materials in concrete. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47679.

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The DoD accounts for over 1% of the country’s total electricity consumption. However, DoD bases heavily rely on vulnerable commercial power grids, susceptible to disruptions from outdated infrastructure, weather-related incidents, and direct attacks. To enhance energy efficiency and resilience, it is imperative to address energy demand in buildings, especially heating and cooling. This study focuses on phase change materials (PCMs) incorporated into concrete to enhance thermal control and reduce energy consumption. Though PCMs have shown promise in heat transfer and energy storage applications

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Chokheli, Salome. Geneva International Discussions: Russian Occupation and Internally Displaced Persons in Georgia. Eurasia Institutes, 2023. http://dx.doi.org/10.47669/eea-1-2023.

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Russia’s military intervention in Georgia in 2008 has forever changed the security environment for Tbilisi. Borderization, Russian military and semi-military bases on Georgian territory, and Moscow’s unofficial annexation policy in two regions of Georgia are among the issues Tbilisi faces due to the Kremlin’s five-day war against Georgia. Moreover, more than 200 000 thousand people remain Internally Displaced Persons in Georgia, waiting to exercise their right of dignified return to occupied regions currently remaining under illegal Russian control. This paper analysis ongoing Geneva Internati

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