Academic literature on the topic 'Objective Baye'
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Journal articles on the topic "Objective Baye"
Held, Leonhard. "An objective Bayes perspective onp-values." Biometrical Journal 59, no. 5 (May 24, 2017): 886–88. http://dx.doi.org/10.1002/bimj.201700068.
Full textVilla, Cristiano, and Stephen G. Walker. "An objective Bayes factor with improper priors." Computational Statistics & Data Analysis 168 (April 2022): 107404. http://dx.doi.org/10.1016/j.csda.2021.107404.
Full textHoijtink, Herbert. "Objective Bayes Factors for Inequality Constrained Hypotheses." International Statistical Review 81, no. 2 (June 13, 2013): 207–29. http://dx.doi.org/10.1111/insr.12010.
Full textLeon-Novelo, Luis, Elías Moreno, and George Casella. "Objective Bayes model selection in probit models." Statistics in Medicine 31, no. 4 (December 12, 2011): 353–65. http://dx.doi.org/10.1002/sim.4406.
Full textDaniel, J. Sudhir Ryan, and Chandrasekharan Rajendran. "Heuristic approaches to determine base-stock levels in a serial supply chain with a single objective and with multiple objectives." European Journal of Operational Research 175, no. 1 (November 2006): 566–92. http://dx.doi.org/10.1016/j.ejor.2005.04.039.
Full textWei, Xin. "Multi-Objective Optimization Base on Incremental Pareto Fitness." Advanced Materials Research 1030-1032 (September 2014): 1733–36. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1733.
Full textConsonni, Guido, Luca La Rocca, and Stefano Peluso. "Objective Bayes Covariate-Adjusted Sparse Graphical Model Selection." Scandinavian Journal of Statistics 44, no. 3 (March 29, 2017): 741–64. http://dx.doi.org/10.1111/sjos.12273.
Full textDiciccio, T. J., and G. A. Young. "Objective Bayes and conditional inference in exponential families." Biometrika 97, no. 2 (April 15, 2010): 497–504. http://dx.doi.org/10.1093/biomet/asq002.
Full textLupiani, Eduardo, Stewart Massie, Susan Craw, Jose M. Juarez, and Jose Palma. "Case-base maintenance with multi-objective evolutionary algorithms." Journal of Intelligent Information Systems 46, no. 2 (September 21, 2015): 259–84. http://dx.doi.org/10.1007/s10844-015-0378-z.
Full textYASUE, Masaaki, Koichi KOBAYASHI, and Shinichiro TAMORI. "MULTI-OBJECTIVE OPTIMAL DESIGN OF BASE ISOLATED DEVICE IN BASE-ISOLATED STRUCTURE." Journal of Structural and Construction Engineering (Transactions of AIJ) 75, no. 655 (2010): 1645–52. http://dx.doi.org/10.3130/aijs.75.1645.
Full textDissertations / Theses on the topic "Objective Baye"
PETRAKIS, NIKOLAOS. "Objective Bayes Structure Learning in Gaussian Graphical Models." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/262921.
Full textGraphical models are used to represent conditional independence relationships among variables by the means of a graph, with variables corresponding to graph's nodes. They are widely used in genomic studies, finance, energy forecasting, among other fields. More specifically, for a collection of q variables with conditional independence structure represented by an undirected graph, we assume that the underlying graph's structure is unknown. We are interested in inferring the graph's structure from data at hand. This procedure the bibliography is referred to as Structure Learning, where we use certain techniques for selecting a graphical model to depict conditional independence relationships between these q variables. We start from defining a model space which is consisted by a set of all possible graphical models; then we define a scoring function which enables us to score the different models of the model space and finally, we construct a search algorithm that will navigate through the model space to identify the optimal model that explains the problem at hand. The choice of a scoring function is crucial for optimizing the search procedure through the model space. Our approach to this problem is purely Bayesian for handling uncertainty in a more elaborate fashion. We will use estimates of posterior model probabilities for ranking the models at hand. The specification of a conditional prior on the column covariance matrix is not trivial because each graph under consideration induces a different independence structure and it affects the parameter space. Under this context, we cannot directly use improper priors, since they would result to indeterminate Bayes factors, thus we are required to carefully elicit a prior distribution under each graph, a task that becomes infeasible in higher dimensions. For creating an automated Bayesian scoring technique, we resort to Objective Bayes approaches, which are initiated by an improper prior distribution and their output is a fully usable prior distributions. In this thesis, we propose the use of two alternative Objective Bayes approaches for estimating posterior probabilities of models, namely the Expected Posterior prior approach and the Power-Expected Posterior Prior approach. Both approaches utilize the device of imaginary observations for providing usable prior distributions and are theoretically sounder than the Fractional Bayes Factor of O'Hagan. Our goal is to introduce both the Expected and Power-Expected Posterior prior approaches to the field of structure learning of undirected graphical models and evaluate their performance using certain stochastic search techniques. Diverse simulation scenarios are considered as well as a real-life data application.
ARTARIA, ANDREA. "Objective Bayesian Analysis for Differential Gaussian Directed Acyclic Graphs." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/55327.
Full textKuffner, Todd Alan. "Objective Bayes and conditional frequentist inference." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7134.
Full textPruvost, Geoffrey. "Contributions à l’optimisation multi-objectif à base de décomposition." Thesis, Université de Lille (2018-2021), 2021. http://www.theses.fr/2021LILUB026.
Full textIn this thesis, we are interested in multi-objective combinatorial optimization, and in particular in evolutionary algorithms based on decomposition. This type of approaches consists in decomposing the original multi-objective problem into multiple single-objective sub-problems that are then solved cooperatively. In this context, we consider the design and the analysis of new algorithmic components contributing to the establishment of the foundations of an optimization framework based on decomposition for multi-objective combinatorial problems known as "black box", i.e., for which the analytical form of the objective functions is not available to the solving algorithm. First of all, we investigate the key components for a better distribution of the computational efforts during the optimization process. To this end, we study the joint impact of the population size and of the number of solutions generated at each iteration, while proposing different strategies for selecting one ore multiple sub-problem(s) to be optimized at each stage. We then study different mechanisms allowing to escape from local optima. They are inspired by techniques from single-objective optimization, and we show they can significantly improve the convergence profile of the considered approaches. Finally, we consider the context of expensive optimization, where the evaluation of each solution is particularly intensive in terms of computational resources. This hence drastically restrict the budget allocated to the optimization process. As such, we investigate new components based on combinatorial meta-models, and we consider their integration within decomposition-based multi-objective evolutionary approaches
Rossini, Luca <1987>. "Contributions to bayesian nonparametric and objective Bayes literature." Doctoral thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/10292.
Full textFrye, Jake. "Performance-objective design of a wind-diesel hybrid energy system for Scott Base, Antarctica." Thesis, University of Canterbury. Mechanical Engineering, 2006. http://hdl.handle.net/10092/1157.
Full textPereira, Marciel Barros. "Particle swarm optimization and differential evolution for base station placement with multi-objective requirements." reponame:Repositório Institucional da UFC, 2015. http://www.repositorio.ufc.br/handle/riufc/13374.
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The infrastructure expansion planning in cellular networks, so called Base Station Placement (BSP) problem, is a challenging task that must consider a large set of aspects, and which cannot be expressed as a linear optimization function. The BSP is known to be a NP-hard problem unable to be solved by any deterministic method. Based on some fundamental assumptions of Long Term Evolution - Advanced (LTE-A) networks, this work proceeds to investigate the use of two methods for BSP optimization task: the Particle Swarm Optimization (PSO) and the Differential Evolution (DE), which were adapted for placement of many new network nodes simultaneously. The optimization process follows two multi-objective functions used as fitness criteria for measuring the performance of each node and of the network. The optimization process is performed in three scenarios where one of them presents actual data collected from a real city. For each scenario, the fitness performance of both methods as well as the optimized points found by each technique are presented
O planejamento de expansão de infraestrutura em redes celulares é uma desafio que exige considerar diversos aspectos que não podem ser separados em uma função de otimização linear. Tal problema de posicionamento de estações base é conhecido por ser do tipo NP-hard, que não pode ser resolvido por qualquer método determinístico. Assumindo características básicas da tecnologia Long Term Evolution (LTE)-Advanced (LTE-A), este trabalho procede à investigação do uso de dois métodos para otimização de posicionamento de estações base: Otimização por Enxame de Partículas – Particle Swarm Optimization (PSO) – e Evolução Diferencial – Differential Evolution (DE) – adaptados para posicionamento de múltiplas estações base simultaneamente. O processo de otimização é orientado por dois tipos de funções custo com multiobjetivos, que medem o desempenho dos novos nós individualmente e de toda a rede coletivamente. A otimização é realizada em três cenários, dos quais um deles apresenta dados reais coletados de uma cidade. Para cada cenário, são exibidos o desempenho dos dois algoritmos em termos da melhoria na função objetivo e os pontos encontrados no processo de otimização por cada uma das técnicas
CASTELLETTI, FEDERICO. "Learning Markov Equivalence Classes of Gaussian DAGs via Observational and Interventional Data: an Objective Bayes Approach." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199179.
Full textGraphical models based on Directed Acyclic Graphs (DAGs) are a very common tool in many scientific areas for the investigation of dependencies among variables. Typically, the objective is to infer models from the data or measuring dependence relationships between variables. The set of all (marginal and) conditional independencies encoded by a DAG determines its Markov property. However, it is well known that we cannot distinguish between DAGs encoding the same set of conditional independencies (Markov equivalent DAGs) using observational data. Markov equivalent DAGs are then collected in equivalence classes each one represented by an Essential Graph (EG), also called Completed Partially Directed Graph (CPDAG). When the interest is in model selection it is then convenient to explore the EG space, rather than the whole DAG space, even if the number of EGs increases super-exponentially with the number of vertices. An exhaustive enumeration of all EGs is not feasible and so structural learning in the EG space has been confined to small dimensional problems. However, to avoid such limit, several methods based on Markov chains have been proposed in recent years. In many applications (such as biology and genomics) we have both observational and interventional data produced after an exogenous perturbation of some variables or from randomized intervention experiments. The concept of intervention is strictly related to the causal interpretation of a DAG. Interventions destroy the original causal dependency on the intervened variables and modify the Markov property of a DAG. This results in a finer partition of DAGs into equivalence classes, each one represented by an Interventional Essential Graph (I-EG). Hence, model selection of DAGs in the presence of observational and interventional data can be performed over the I-EG space, thus improving the identifiability of the true data generating model. In this work we deal with the problem of Gaussian DAG model selection from a Bayesian perspective. In particular, we adopt an objective Bayes approach based on the notion of fractional Bayes factor. We then obtain a closed formula to compute the marginal likelihood of an I-EG given a collection of observational and interventional data. Next, we construct a Markov chain to explore the I-EG space possibly accounting for sparsity constraints. Hence, we propose an MCMC algorithm to approximate the posterior distribution of I-EGs and provide a quanti_cation of inferential uncertainty by measuring some features of interest, such as probabilities of edge inclusion. We apply our methodology, that we name Objective Bayesian Interventional Essential graph Search (OBIES) to simulation settings and to the analysis of protein-signaling data, where interventional data consists in a collection of observations measured under different experimental conditions.
Hessel, Charles. "La décomposition automatique d'une image en base et détail : Application au rehaussement de contraste." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLN017/document.
Full textIn this CIFRE thesis, a collaboration between the Center of Mathematics and their Applications, École Normale Supérieure de Cachan and the company DxO, we tackle the problem of the additive decomposition of an image into base and detail. Such a decomposition is a fundamental tool in image processing. For applications to professional photo editing in DxO Photolab, a core requirement is the absence of artifacts. For instance, in the context of contrast enhancement, in which the base is reduced and the detail increased, minor artifacts becomes highly visible. The distortions thus introduced are unacceptable from the point of view of a photographer.The objective of this thesis is to single out and study the most suitable filters to perform this task, to improve the best ones and to define new ones. This requires a rigorous measure of the quality of the base plus detail decomposition. We examine two classic artifacts (halo and staircasing) and discover three more sorts that are equally crucial: contrast halo, compartmentalization, and the dark halo. This leads us to construct five adapted patterns to measure these artifacts. We end up ranking the optimal filters based on these measurements, and arrive at a clear decision about the best filters. Two filters stand out, including one we propose
Leão, Luis Gustavo de Paiva. "A quebra da base objetiva dos contratos." Pontifícia Universidade Católica de São Paulo, 2010. https://tede2.pucsp.br/handle/handle/5474.
Full textThrough a brief analysis of the historical origins of the contract, taking into account as party settlements with the State endorsement, observed in its practical applications, we intend to analyze the collapse in the objective basis of contracts, verifying the consequence of such breakaway, both in the jurisprudence as in the social relations involved, and as the interpretative possibilites of such issue. The relevance of the subject is shown by itself, once the contemporary society is contractarian in almost all respects, and the non compliance of the contractual terms is a result of numerous disorders that cause impact on the harmony of social life in all spheres: familiar level up to the governmental. Themes such as autonomy and contractual liberty come up against issues that need ethical-political reviews. As the main objective remains the characterization of how, when and under what circumstances it is possible to affirm that there was a collapse in the objective basis of the contract, and diagnosed such collapse, how to proceed in such situation: there will be a possibility of establishing a new agreement or just be left to setting penalties and compensations. The secondary objectives point to the identification of direct and indirect effects regarding the situation, and in the action of laws to this type of occurrence. The method that will be used is the deductive method in order to develop the research, being the review of literature on the theme the basic source to enrich discussions in the invitation to authors that have already leaned on the theme in books, articles, theses and further dissertations
Por meio de uma sucinta análise das origens históricas do contrato, considerado enquanto acerto de partes com aval do Estado, observado em suas aplicações práticas, pretende-se analisar a quebra da base objetiva dos contratos, verificando as consequências desta ruptura tanto na jurisprudência como nas relações sociais envolvidas, bem como as possibilidades interpretativas da questão. A relevância do tema se demonstra por si só, vez que a sociedade contemporânea é contratualista em quase todos os aspectos, e a não observância dos termos contratuais é causa de inúmeros transtornos que impactam sobre a harmonia da vida social em todas as esferas: do nível familiar ao governamental. Temas como a autonomia e a liberdade contratual esbarram em questões que necessitam de revisões ético-políticas. Como objetivo principal subsiste a caracterização de como, quando e em que circunstâncias se pode alegar que houve a quebra da base objetiva do contrato, e, diagnosticada esta quebra como se procede diante da situação: haverá possibilidade do estabelecimento de novo acordo ou apenas restará a configuração de penas e ressarcimentos. Os objetivos secundários apontam para a identificação de efeitos diretos e indiretos da situação, e na ação das leis para este tipo de ocorrência. Será utilizado o método dedutivo para o desenvolvimento da pesquisa, sendo a revisão da literatura sobre o tema a fonte básica para o enriquecimento das discussões, no convite a autores que já se debruçaram sobre o assunto em livros, artigos, teses e demais dissertações
Books on the topic "Objective Baye"
Evaluating medical tests: Objective and quantitative guidelines. Newbury Park, Calif: Sage Publications, 1992.
Find full textVictoria. Office of the Auditor-General. Port of Melbourne channel deepening project: Achievement of objectives. Melbourne, Vic: Victorian Government Printer, 2012.
Find full textBaoua, Mahaman. Les Écueils de l'administration de l'éducation de base au Niger. Niamey, Niger: Éditions Gashingo, 2019.
Find full textCree Board of Health and Social Services of James Bay. A challenge not to be ignored: The general orientations, the general objectives (1986-89) triennial programming. James Bay, Quebec: Cree Board of Health and Social Services of James Bay, 1986.
Find full textAl-Jaff, Shirin. Role of zero-base budgeting in the achievement of organizations objectives. An empirical study in not-for-profit organizations. Oxford: Oxford Brookes University, 1996.
Find full textGiasson, Lucie. Analyse comparative des objectifs d'apprentissage de quatre programmes d'enseignement de base du français langue seconde au Canada. Québec, Canada: Centre international de recherche en aménagement linguistique, Faculté des lettres, Université Laval, 1992.
Find full text1942-, Verspoor Adriaan, ed. Le défi de l'apprentissage: Améliorer la qualité de l'éducation de base en Afrique subsaharienne. Paris: Harmattan, 2005.
Find full textNancy, Watson, Scane Joyce 1931-, Bedard George Jerome 1947-, and Ontario. Royal Commission on Learning., eds. For the love of learning: Background papers for the Royal Commission on Learning = Pour l'amour d'apprendre : documents de base pour la Commission royale sur l'éducation. Toronto: Ontario Royal Commission on Learning, 1995.
Find full textFonssi, Eugène. L'université autrement: Les principes de base de l'Université Évangélique du Cameroun et leurs enjeux de transformation sociale : rapport du séminaire atelier de Mbouo Bandjoun, du 24 au 26 février 2011. Bandjoun: Presses de l'Université évangelique du Cameroun, 2012.
Find full textSan Francisco (Calif.). Office of the Controller. Audits Division. Human Rights Commission: Barri Electric Company, Inc., met the objectives for women business enterprise participation in its contract with the Airport. San Francisco: Office of the Controller, 2002.
Find full textBook chapters on the topic "Objective Baye"
Volonte, S. "Astronomy from a Lunar Base." In Astronomical and Astrophysical Objectives of Sub-Milliarcsecond Optical Astrometry, 347–50. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0069-4_61.
Full textWolff, H. P., A. Fleckenstein, and E. O. Philipp. "Panel Discussion II: Objectives of Basic Research and Predictive Value Preclinical Testing." In Bayer AG Centenary Symposium, 224–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74615-4_22.
Full textBayarri, M. J., James O. Berger, and Gauri S. Datta. "Objective Bayes testing of Poisson versus inflated Poisson models." In Institute of Mathematical Statistics Collections, 105–21. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2008. http://dx.doi.org/10.1214/074921708000000093.
Full textGrimme, Christian, Pascal Kerschke, and Heike Trautmann. "Multimodality in Multi-objective Optimization – More Boon than Bane?" In Lecture Notes in Computer Science, 126–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12598-1_11.
Full textShukla, Praveen Kumar, and Surya Prakash Tripathi. "Interpretability Issues in Evolutionary Multi-Objective Fuzzy Knowledge Base Systems." In Advances in Intelligent Systems and Computing, 473–84. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-1038-2_40.
Full textYe, Tingyu, Hui Wang, Wenjun Wang, Tao Zeng, and Luqi Zhang. "An Improved Bare-Bones Multi-objective Artificial Bee Colony Algorithm." In Communications in Computer and Information Science, 272–80. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1256-6_20.
Full textGuerra, Luis Raúl Pericchi, Guimei Liu, and David Torres Núñez. "Objective Bayes Factors for Informative Hypotheses: “Completing” the Informative Hypothesis and “Splitting” the Bayes Factors." In Bayesian Evaluation of Informative Hypotheses, 131–54. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-09612-4_7.
Full textLupiani, Eduardo, Susan Craw, Stewart Massie, Jose M. Juarez, and Jose T. Palma. "A Multi-Objective Evolutionary Algorithm Fitness Function for Case-Base Maintenance." In Case-Based Reasoning Research and Development, 218–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39056-2_16.
Full textPiantoni, Jane, Katti Faceli, Tiemi C. Sakata, Julio C. Pereira, and Marcílio C. P. de Souto. "Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms." In Neural Information Processing, 696–704. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26532-2_77.
Full textMoortgat, Peter, Mieke Anthonissen, Ulrike Van Daele, Jill Meirte, Tine Vanhullebusch, and Koen Maertens. "Objective Assessment Techniques: Physiological Parameters in Scar Assessment." In Textbook on Scar Management, 159–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44766-3_18.
Full textConference papers on the topic "Objective Baye"
Zaharov, M. A., and V. A. Zaharova. "Ways to solve the problems of counterfeiting products of the wine industry." In SCIENCE OF RUSSIA: GOALS AND OBJECTIVES. L-Journal, 2020. http://dx.doi.org/10.18411/sr-10-12-2020-29.
Full textAlekseev, S. I. "Formation of the soil consolidation zone along the injector - micro piles at cementation of the base under the foundations of reconstructed buildings." In SCIENCE OF RUSSIA: GOALS AND OBJECTIVES. L-Journal, 2020. http://dx.doi.org/10.18411/sr-10-08-2020-01.
Full textRen, Shunan, Ying Xie, Zhi Liu, Guolei Wang, Xiangdong Yang, and Ken Chen. "Base station searching for manipulators with huge objective workpieces." In 2015 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2015. http://dx.doi.org/10.1109/cyber.2015.7287944.
Full textPozdnyakov, V. A., V. A. Cheverda, and S. S. Khudyakov. "Objective-oriented Imaging on the Base of Focusing Transformation." In 1st EAGE International Geosciences Conference on Kazakhstan. European Association of Geoscientists & Engineers, 2010. http://dx.doi.org/10.3997/2214-4609.20145699.
Full textMai, Wentian, Hai-Lin Liu, Lei Chen, Jiongcheng Li, and Henghui Xiao. "Multi-objective Evolutionary Algorithm for 4G Base Station Planning." In 2013 Ninth International Conference on Computational Intelligence and Security (CIS). IEEE, 2013. http://dx.doi.org/10.1109/cis.2013.25.
Full textChang, Leilei, Liuying Wang, Wei Wang, Gu Liu, and Xiaodong Ling. "Akaike Information Criterion-Based Objective for Belief Rule Base Optimization." In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2016. http://dx.doi.org/10.1109/ihmsc.2016.83.
Full textZhang, Xubo, and China Wuhan. "Private equity exit risk avoiding base on multi-objective optimization." In 2009 ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM). IEEE, 2009. http://dx.doi.org/10.1109/cccm.2009.5267827.
Full textSahinkaya, M. Necip, Abdul-Hadi G. Abulrub, Patrick S. Keogh, and Clifford R. Burrows. "Experiments on the Transient Performance of an Adaptive Multi-Objective Controller for Rotating Machinery." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23482.
Full textKiwan, H., A. Bais, and Y. L. Morgan. "Objective function for base stations placement using the nested square pattern." In 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2013. http://dx.doi.org/10.1109/ccece.2013.6567762.
Full textLiang, Xueyi, Hailin Liu, and Qiang Wang. "4G Heterogeneous Networks Base Station Planning Using Evolutionary Multi-objective Algorithm." In 2015 11th International Conference on Computational Intelligence and Security (CIS). IEEE, 2015. http://dx.doi.org/10.1109/cis.2015.68.
Full textReports on the topic "Objective Baye"
Chester, Mikhail, Alysha Helmrich, and Rui Li. Inventorying San Francisco Bay Area Parking Spaces: Technical Report Describing Objectives, Methods, and Results. Mineta Transportation Institute, February 2022. http://dx.doi.org/10.31979/mti.2022.2123.
Full textMohling, Caroline M., Anna K. Johnson, Kenneth J. Stalder, Caitlyn Abell, Locke A. Karriker, Johann F. Coetzee, and Suzanne T. Millman. Embedded Micro-Computer Base Force Plate as an Objective Tool to Measure Hoof Lameness Phases in Multiparous Sows. Ames (Iowa): Iowa State University, January 2014. http://dx.doi.org/10.31274/ans_air-180814-1193.
Full textWenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel, and Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), December 2022. http://dx.doi.org/10.21079/11681/46261.
Full textLovyanova, I. V., and Z. I. Vedrenkova. Caracterisation des objectifs et le contenu de la formation professionnelle visant a les mathematiques profil de l'ecole. Les Editions L'Originаlе, 2016. http://dx.doi.org/10.31812/0564/2359.
Full textBozek, Michael, and Tani Hubbard. Greater Yellowstone Network amphibian monitoring protocol science review: A summary of reviewers’ responses. National Park Service, June 2022. http://dx.doi.org/10.36967/nrr-2293614.
Full textGupta, Aditya, Maanasa Venkataraman, and Mary Bamimore. The relative efficacy of monotherapies for dermatophyte toenail onychomycosis: a systematic review with quantitative syntheses of the evidence base. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0157.
Full textHulata, Gideon, and Graham A. E. Gall. Breed Improvement of Tilapia: Selective Breeding for Cold Tolerance and for Growth Rate in Fresh and Saline Water. United States Department of Agriculture, November 2003. http://dx.doi.org/10.32747/2003.7586478.bard.
Full textRolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Integration of autonomous electric transport vehicles into a tactical microgrid : final report. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42007.
Full textRolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Autonomous Transport Innovation (ATI) : integration of autonomous electric vehicles into a tactical microgrid. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42160.
Full textGupta, Aditya, Maanasa Venkataraman, and Mary Bamimore. Relative efficacy of biologic agents for alopecia areata: protocol for a systematic review with quantitative syntheses of the evidence base. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0082.
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