Literatura académica sobre el tema "BBN modelling"
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Artículos de revistas sobre el tema "BBN modelling"
Wee, Yit Yin, Shing Chiang Tan y KuokKwee Wee. "Reducing the Complexity of Casual Representation in Bayesian Belief Network". F1000Research 10 (6 de diciembre de 2021): 1243. http://dx.doi.org/10.12688/f1000research.73480.1.
Texto completoAle, Ben, Coen van Gulijk, Anca Hanea, Daniela Hanea, Patrick Hudson, Pei-Hui Lin y Simone Sillem. "Towards BBN based risk modelling of process plants". Safety Science 69 (noviembre de 2014): 48–56. http://dx.doi.org/10.1016/j.ssci.2013.12.007.
Texto completoSleiman, Joseph, David J. Savage, Benjamin Switzer, Colleen Y. Colbert, Cory Chevalier, Kathleen Neuendorf y David Harris. "Teaching residents how to break bad news: piloting a resident-led curriculum and feedback task force as a proof-of-concept study". BMJ Simulation and Technology Enhanced Learning 7, n.º 6 (22 de junio de 2021): 568–74. http://dx.doi.org/10.1136/bmjstel-2021-000897.
Texto completoZhan, Yuexing y Xinrui Niu. "Tuning methods and mechanical modelling of hydrogels". Bioinspired, Biomimetic and Nanobiomaterials 4, n.º 2 (junio de 2015): 140–54. http://dx.doi.org/10.1680/bbn.14.00029.
Texto completoPhilip, Babitha y Hamad Al Jassmi. "A Bayesian Approach towards Modelling the Interrelationships of Pavement Deterioration Factors". Buildings 12, n.º 7 (18 de julio de 2022): 1039. http://dx.doi.org/10.3390/buildings12071039.
Texto completoGhahramani, Afshin, John McLean Bennett, Aram Ali, Kathryn Reardon-Smith, Glenn Dale, Stirling D. Roberton y Steven Raine. "A Risk-Based Approach to Mine-Site Rehabilitation: Use of Bayesian Belief Network Modelling to Manage Dispersive Soil and Spoil". Sustainability 13, n.º 20 (13 de octubre de 2021): 11267. http://dx.doi.org/10.3390/su132011267.
Texto completoGhahramani, Afshin, John McLean Bennett, Aram Ali, Kathryn Reardon-Smith, Glenn Dale, Stirling D. Roberton y Steven Raine. "A Risk-Based Approach to Mine-Site Rehabilitation: Use of Bayesian Belief Network Modelling to Manage Dispersive Soil and Spoil". Sustainability 13, n.º 20 (13 de octubre de 2021): 11267. http://dx.doi.org/10.3390/su132011267.
Texto completoBruen, Michael, Thibault Hallouin, Michael Christie, Ronan Matson, Ewa Siwicka, Fiona Kelly, Craig Bullock, Hugh B. Feeley, Edel Hannigan y Mary Kelly-Quinn. "A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management". Environmental Management 69, n.º 4 (16 de febrero de 2022): 781–800. http://dx.doi.org/10.1007/s00267-022-01595-x.
Texto completoAllik, Henno, Stewart Moore, Elizabeth O'Neil y Eric Tenenbaum. "Finite element analysis on the BBN butterfly multiprocessor". Computers & Structures 27, n.º 1 (enero de 1987): 13–21. http://dx.doi.org/10.1016/0045-7949(87)90177-5.
Texto completoMat Alipiah, Roseliza, Fathilah Ismail, Siti Aisyah Saat y Ahmad Puad Mat Som. "Modelling the Impacts of Aquaculture in Wetland Ecosystems for Sustainable Aquaculture Management: An Integrated Ecosystem Approach". International Journal of Engineering & Technology 7, n.º 4.34 (13 de diciembre de 2018): 197. http://dx.doi.org/10.14419/ijet.v7i4.34.23887.
Texto completoTesis sobre el tema "BBN modelling"
Anderson, Jerone S. "A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks". Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242921000.
Texto completoParkes, David [Verfasser], Ben [Akademischer Betreuer] Marzeion, Ben [Gutachter] Marzeion y Olaf [Gutachter] Eisen. "Statistical glacier distribution in global- and regional-scale glacier modelling / David Parkes ; Gutachter: Ben Marzeion, Olaf Eisen ; Betreuer: Ben Marzeion". Bremen : Staats- und Universitätsbibliothek Bremen, 2018. http://d-nb.info/1189808145/34.
Texto completoHebeler, Felix. "Modelling topographic uncertainty : impacts on large scale : environmental modelling /". Zürich, 2008. http://opac.nebis.ch/cgi-bin/showAbstract.pl?sys=000253809.
Texto completoBall, Kathryn. "Physiologically based pharmacokinetic modelling of the central nervous system : strategies for drug development". Thesis, Paris 5, 2014. http://www.theses.fr/2014PA05P630.
Texto completoA critical step during drug development is the measurement or the prediction of drug concentrations in the target tissue, which can then be linked to measures of drug efficacy or toxicity. Drug concentrations cannot be directly measured in the human brain, and must be simulated or predicted using alternative modeling approaches. The objective of this thesis is to develop in silico approaches to predict BBB penetration of drugs, combining in vitro and in vivo preclinical data in a physiologically structured model, with a translational strategy to allow the simulation of total and free drug concentrations in the human brain. Physiologically based pharmacokinetic (PBPK) models were developed and evaluated for reference molecules already on the market, as well as for a drug currently under clinical development within the pharmaceutical industry. These models were developed based on both ‘bottom-up’ (model parameter values predicted from in vitro data) and ‘top-down’ (model parameters estimated from in vivo data) strategies. This thesis is comprised of 5 scientific papers which are either published or submitted to peer-reviewed journals. The first article is a review of the literature, published in the AAPS journal. This review discusses the currently published PBPK models available for the mechanistic prediction of BBB penetration of drugs, and proposes a strategy for in vitro-in vivo (IVIVE) extrapolation. The second article is an original research article published in Molecular Pharmaceutics. This article aims to show the development of a coherent pharmacokinetic modeling approach in the rat which can be adapted based on the quantity and quality of data obtained in vivo during the development of new drugs. A decision tree was constructed to enable the appropriate parameterization and model structure based on the available data. The third article is an original research article published in Journal of Pharmaceutical Sciences. This article was based on the development of a PBPK model for the mechanistic prediction of BBB penetration of drugs, in which the active and passive components of permeability were considered separately, as well as the intra-brain tissue binding parameters. An in vitro-in vivo strategy was proposed to extrapolate the active transport component using a relative activity factor (RAF) to account for in vitro-in vivo differences in transporter activity and/or abundance. Two additional articles are either submitted or under preparation. These articles extend the PBPK approaches described in the previous two published original research articles. The final part of this thesis consists of a discussion which emphasizes clearly the importance of the appropriate choice of modeling approach, or even better, a combination of approaches based on physiological knowledge, experimental data and knowledge gathered during the course of drug development. The advantage of mechanistic parameterization of PBPK models is the improved ability for inter-species extrapolation for the subsequent simulation of free or total drug concentrations within the human brain. This thesis has considerably contributed to this rapidly evolving field of CNS drug research and development, showing the importance of combining in vitro and in vivo data within a physiologically based model structure, thus providing a valuable tool for the quantitative prediction of the penetration of drugs in the human brain
Visen, Neeraj Singh. "Numerical modelling of the effects of bin inserts on stress distribution in storage bins for cohesive powder material". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0028/MQ32972.pdf.
Texto completoMünch, Manfred. "Generic modelling with graph rewriting systems paramateric polymorphism and object-oriented modelling with Progress /". [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=970711239.
Texto completoAbdi, Tadesse. "Towards material modelling within continuum-atomistics". [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=979984173.
Texto completoAugustine, Robin. "Electromagnetic modelling of human tissues and its application on the interaction between antenna and human body in the BAN context". Phd thesis, Université Paris-Est, 2009. http://tel.archives-ouvertes.fr/tel-00499255.
Texto completoAussavy, Delphine. "Processing characterization and modeling of thermomechanical properties of threee abradable coatings : NiCrAl-bentonite, CoNiCrAlY-BN-polyester, and YSZ-polyester". Thesis, Belfort-Montbéliard, 2016. http://www.theses.fr/2016BELF0311/document.
Texto completoThe objective of this work was to estimate apparent thermomechanical properties of abradable coating. Abradablematerials are strongly heterogeneous structures and the aim was to consider their detailed microstructure. Theinterest of this work is to overstep one difficulty when manufacturing abradable coating which is their dimensioning.Three abradable coatings having different nature and different microstructures have been studied. Theirmicrostructure complexity was different one from each other. Their properties were determined by a 2D modelingmethod which was applied directly pixel by pixel to take account of all the microstructural details. To validate themodeling method, the results calculated were coupled and compared to experimental ones. Two modeling methodhave been applied, a conventional one, with coating image representing coating microstructural details as well asthe global coating microstructural distribution and a 2-scale modeling method, with one scale representing themicrostructural details of the matrix and a second on representing the global coating coarse pores distribution. Onemain conclusion of this work is the following one: If the material complexity increases, the number of scalemandatory to describe the real microstructure increases. The 2-scales modeling method has been validated throughcomparison of the calculated values with those obtained experimentally. This work helps to provide a tool for digitallyselect the most promising abradable layers with the effect of reducing the number of experimental tests, which arelonger and more expensive to implement. It is a tool for decision support in the abradable coating development
Bräuer, Lars. "Modelling- und Mutationsstudien an ausgewählten prenylierenden Enzymen". [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=984732004.
Texto completoLibros sobre el tema "BBN modelling"
Torre, Valeria. La «privatizzazione» delle fonti di diritto penale. Bononia University Press, 2021. http://dx.doi.org/10.30682/sg266.
Texto completoCapítulos de libros sobre el tema "BBN modelling"
Kavitha, K. y R. Neela. "BBO-Based TCSC Placement for Security Enhancement". En Recent Advancements in System Modelling Applications, 475–85. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1035-1_42.
Texto completoHao, Yang, Akram Alomainy y Yan Zhao. "Antenna Design and Propagation Measurements and Modelling for UWB Wireless BAN". En Ultra-Wideband, 331–59. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470056843.ch16.
Texto completoDajuma, Alima, Siélé Silué, Kehinde O. Ogunjobi, Heike Vogel, Evelyne Touré N’Datchoh, Véronique Yoboué, Arona Diedhiou y Bernhard Vogel. "Biomass Burning Effects on the Climate over Southern West Africa During the Summer Monsoon". En African Handbook of Climate Change Adaptation, 1515–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_86.
Texto completoChen, S., Q. Sun y F. Jin. "Force Evaluation for Bingham Fluids Using Multiple-relaxation-time Lattice Boltzmann Model". En Discrete Element Modelling of Particulate Media, 46–50. The Royal Society of Chemistry, 2012. http://dx.doi.org/10.1039/bk9781849733601-00046.
Texto completoIsafiade, O. E., A. B. Bagula y S. Berman. "On the Use of Bayesian Network in Crime Suspect Modelling and Legal Decision Support". En Natural Language Processing, 372–93. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0951-7.ch019.
Texto completoDe Clercq, Karen. "French negation, the Superset Principle, and Feature Conservation". En Cycles in Language Change, 199–227. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198824961.003.0011.
Texto completoKlepac, Goran, Leo Mrsic y Robert Kopal. "Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm". En Analyzing Risk through Probabilistic Modeling in Operations Research, 91–124. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9458-3.ch004.
Texto completoActas de conferencias sobre el tema "BBN modelling"
Fam, Mei Ling, Dimitrios Konovessis, Xuhong He, Lin Seng Ong y Hoon Kiang Tan. "Analysing Dependent Failures in a Bayesian Belief Network". En ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95853.
Texto completoMaddaloni, Alessandro, Valentina Colla, Gianluca Nastasi, Marco Del Seppia y Vincenzo Iannino. "A Bin Packing Algorithm for Steel Production". En 2016 European Modelling Symposium (EMS). IEEE, 2016. http://dx.doi.org/10.1109/ems.2016.014.
Texto completoTholen, Christoph, Lars Nolle, Tarek A. El-Mihoub y Oliver Zielinksi. "Optimised bumblebee paths as search strategy for autonomous underwater vehicles". En 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0107.
Texto completoHalim, Nurfadhlina Abd, Abd Aziz Arrashid Abd Rajak y Saiful Hafizah Jaaman @ Sharman. "Bai Bithaman Ajil (BBA) modelling by Qardhul Hasan". En ADVANCES IN INDUSTRIAL AND APPLIED MATHEMATICS: Proceedings of 23rd Malaysian National Symposium of Mathematical Sciences (SKSM23). Author(s), 2016. http://dx.doi.org/10.1063/1.4954537.
Texto completoTamas, Kornel, Zsofia Olah, Lilla Racz-Szabo y Zoltan Hudoba. "Investigation Of Soil-Sweep Interaction In Laboratory Soil Bin And Modelling With Discrete Element Method". En 32nd Conference on Modelling and Simulation. ECMS, 2018. http://dx.doi.org/10.7148/2018-0421.
Texto completoRoyle, Andrew J., John D. Logel y Laurence R. Lines. "Hebron / Ben Nevis oil density sensitivity AVO modelling study". En SEG Technical Program Expanded Abstracts 2003. Society of Exploration Geophysicists, 2003. http://dx.doi.org/10.1190/1.1817897.
Texto completoDumitru, Paul. "APPROACHES ON GEOID MODELLING". En 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v2/s09.008.
Texto completoSaraiva, Miguel, Guilherme Gomes y Daniel Moutinho. "Processos BIM de Coordenação 3D e Revisão do Cliente. O Exemplo do Edifício Residencial de Ben Aknoun". En 3º Congresso Português de 'Building Information Modelling'. Porto: FEUP, 2020. http://dx.doi.org/10.24840/978-972-752-272-9_0961-0970.
Texto completoDumitru, Paul. "GEOID MODELLING FOR GIS APPLICATIONS". En 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s08.015.
Texto completoMugruza-Vassallo, Carlos. "Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks". En 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE, 2016. http://dx.doi.org/10.1109/bsn.2016.7516270.
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