Relevant bibliographies by topics / Multi-model

Academic literature on the topic 'Multi-model'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Multi-model"

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Alashhab, Mohamed Sayed, and Ehab A. Mlybari. "Developing a multi-item, multi-product, and multi-period supply chain planning optimization model." Indian Journal of Science and Technology 14, no. 37 (October 5, 2021): 2850–59. http://dx.doi.org/10.17485/ijst/v14i37.867.

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GAYRATJANOVNA, AVAZOVA GULNAZA. "MODEL IN MULTI-CLOUD TELECOMMUNICATIONS NETWORKS." International Journal of Advance Scientific Research 4, no. 3 (March 1, 2024): 55–58. http://dx.doi.org/10.37547/ijasr-04-03-12.

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This articleaddresses the critical challenge of developing an effective data protection model tailored for multi-cloud telecommunications networks, a pressing need in the era of ubiquitous cloud computing and escalating cybersecurity threats. As telecommunications infrastructure increasingly relies on multi-cloud environments to deliver services, traditional security models fall short, necessitating innovative approaches to protect sensitive data across dispersed cloud platforms.
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Lee, Jae Moon, and Thien Nguyen Phu. "Multi-Stream Fused Model: A Novel Real-Time Botnet Detecting Model." Bonfring International Journal of Data Mining 7, no. 2 (March 31, 2017): 06–10. http://dx.doi.org/10.9756/bijdm.8331.

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Li, Jiyun, Chenxi Jia, and Chen Qian. "Progressive Breast Cancer Diagnosis Model Based on Multi-classifier and Multi-modal Fusion." International Journal of Machine Learning and Computing 11, no. 6 (November 2021): 387–92. http://dx.doi.org/10.18178/ijmlc.2021.11.6.1066.

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Bashiri, Mahdi, and Hossein Badri. "A Dynamic Model for Expansion Planning of Multi Echelon Multi Commodity Supply Chain." International Journal of Engineering and Technology 2, no. 1 (2010): 85–93. http://dx.doi.org/10.7763/ijet.2010.v2.105.

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Prasad, G. Shyam Chandra, and K. Adi Narayana Reddy. "Sentiment Analysis Using Multi-Channel CNN-LSTM Model." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 489–94. http://dx.doi.org/10.5373/jardcs/v11sp12/20193243.

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Vala, Mr Manish, Kajal Patel, and Harsh Lad. "Multi Model Biometrics Data Retrieval Through: Big-Data." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 1273–77. http://dx.doi.org/10.31142/ijtsrd15933.

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Ting Yu, Ting Yu, Lihua Zhang Ting Yu, and Hongbing Liu Lihua Zhang. "Service Recommendation Method based on Multi Model Fusion." 電腦學刊 34, no. 6 (December 2023): 063–74. http://dx.doi.org/10.53106/199115992023123406005.

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<p>In recent years, the rapid development of service-oriented computing technology has increased the burden of choice for software developers when developing service-based applications. Existing Web service recommendation systems often face two challenges. First, developers are required to input keywords for service search, but due to their lack of knowledge in the relevant field, the keywords entered by the developers are usually freestyle, causing an inability to accurately locate services. Second, it is exceedingly difficult to extract services that meet the requirements due to the 99.8% sparseness of the application service interaction records. To address the above challenges, a framework for service recommendation through multi-model fusion (SRM) is proposed&nbsp;in this paper. Firstly, we employ graph neural network algorithms to deeply mine historical records, extract the features of applications and services, and calculate their preferences. Secondly, we use the BERT model to analyze text information and use the attention mechanism and fully connected neural networks to deeply mine the matching degree between candidate services and development requirements. The two models mentioned above are further merged to obtain the final service recommendation list. Extensive experiments on&nbsp;datasets demonstrate that SRM can significantly enhance the effectiveness of recommendations in service recommendation&nbsp;scenarios.</p> <p>&nbsp;</p>
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Lu, Jiaheng, and Irena Holubová. "Multi-model Databases." ACM Computing Surveys 52, no. 3 (July 27, 2019): 1–38. http://dx.doi.org/10.1145/3323214.

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Muruganantham, B., and K. Vivekanandan. "Multi Perceptional Optimality Matrix Based Web Service Reliability Model." Journal of Software 10, no. 9 (September 2015): 1045–55. http://dx.doi.org/10.17706//jsw.10.9.1045-1055.

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Dissertations / Theses on the topic "Multi-model"

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Anastasopoulos, Achilles. "Cross model access in the multi-lingual, multi-model database management system." Thesis, Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8178.

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Relational, hierarchical, network, functional, and object oriented databases support its corresponding query language, SQL, DL/I, CODASYL-DML, DAPLEX, and OO-DML, respectively. However, each database type may be accessed only by its own language. The goal of M2DBMS is to provide a heterogeneous environment in which any supported database is accessible by any supported query language. This is known as cross model access capability. In this thesis, relational to object oriented database cross model access is successfully implemented for a test database. Data from the object oriented database EWIROODB is accessed and retrieved, using an SQL query from the relational database EWIROODB. One problem is that the two interfaces (object oriented and relational) create catalog files with different formation, which makes the cross model access impossible, initially. In this thesis the relational created catalog file is used, and the cross model access capability is achieved. The object oriented catalog file must be identical with the relational one. Therefore, work yet to be done is to write a program that automatically reformats the object oriented catalog file into an equivalent relational catalog file
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Strack, Beata. "Multi-column multi-layer computational model of neocortex." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3279.

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We present a multi-layer multi-column computational model of neocortex that is built based on the activity and connections of known neuronal cell types and includes activity-dependent short term plasticity. This model, a network of spiking neurons, is validated by showing that it exhibits activity close to biology in terms of several characteristics: (1) proper laminar flow of activity; (2) columnar organization with focality of inputs; (3) low-threshold-spiking (LTS) and fast-spiking (FS) neurons function as observed in normal cortical circuits; and (4) different stages of epileptiform activity can be obtained with either increasing the level of inhibitory blockade, or simulation of NMDA receptor enhancement. The aim of this research is to provide insight into the fundamental properties of vertical and horizontal inhibition in neocortex and their influence on epileptiform activity. The developed model was used to test novel ideas about modulation of inhibitory neuronal types in a developmentally malformed cortex. The novelty of the proposed research includes: (1) design and implementation of a multi-layer multi-column model of the cortex with multiple neuronal types and short-time plasticity, (2) modification of the Izhikevich neuron model in order to model biological maximum firing rate property, (3) generating local field potential (LFP) and EEG signals without modeling multiple neuronal compartments, (4) modeling several known conditions to validate that the cortex model matches the biology in several aspects,(5) modeling different abnormalities in malformed cortex to test existing and to generate novel hypotheses.
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Francisco-Revilla, Luis. "Multi-model adaptive spatial hypertext." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1444.

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Information delivery on the Web often relies on general purpose Web pages that require the reader to adapt to them. This limitation is addressed by approaches such as spatial hypermedia and adaptive hypermedia. Spatial hypermedia augments the representation power of hypermedia and adaptive hypermedia explores the automatic modification of the presentation according to user needs. This dissertation merges these two approaches, combining the augmented expressiveness of spatial hypermedia with the flexibility of adaptive hypermedia. This dissertation presents the Multi-model Adaptive Spatial Hypermedia framework (MASH). This framework provides the theoretical grounding for the augmentation of spatial hypermedia with dynamic and adaptive functionality and, based on their functionality, classifies systems as generative, interactive, dynamic or adaptive spatial hypermedia. Regarding adaptive hypermedia, MASH proposes the use of multiple independent models that guide the adaptation of the presentation in response to multiple relevant factors. The framework is composed of four parts: a general system architecture, a definition of the fundamental concepts in spatial hypermedia, an ontological classification of the adaptation strategies, and the philosophy of conflict management that addresses the issue of multiple independent models providing contradicting adaptation suggestions. From a practical perspective, this dissertation produced WARP, the first MASH-based system. WARP’s novel features include spatial transclusion links as an alternative to navigational linking, behaviors supporting dynamic spatial hypermedia, and personal annotations to spatial hypermedia. WARP validates the feasibility of the multi-model adaptive spatial hypermedia and allows the exploration of other approaches such as Web-based spatial hypermedia, distributed spatial hypermedia, and interoperability issues between spatial hypermedia systems. In order to validate the approach, a user study comparing non-adaptive to adaptive spatial hypertext was conducted. The study included novice and advanced users and produced qualitative and quantitative results. Qualitative results revealed the emergence of reading behaviors intrinsic to spatial hypermedia. Users moved and modified the objects in order to compare and group objects and to keep track of what had been read. Quantitative results confirmed the benefits of adaptation and indicated a possible synergy between adaptation and expertise. In addition, the study created the largest spatial hypertext to date in terms of textual content.
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Raimondi, Franco. "Model checking multi-agent systems." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/5627/.

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A multi-agent system (MAS) is usually understood as a system composed of interacting autonomous agents. In this sense, MAS have been employed successfully as a modelling paradigm in a number of scenarios, especially in Computer Science. However, the process of modelling complex and heterogeneous systems is intrinsically prone to errors: for this reason, computer scientists are typically concerned with the issue of verifying that a system actually behaves as it is supposed to, especially when a system is complex. Techniques have been developed to perform this task: testing is the most common technique, but in many circumstances a formal proof of correctness is needed. Techniques for formal verification include theorem proving and model checking. Model checking techniques, in particular, have been successfully employed in the formal verification of distributed systems, including hardware components, communication protocols, security protocols. In contrast to traditional distributed systems, formal verification techniques for MAS are still in their infancy, due to the more complex nature of agents, their autonomy, and the richer language used in the specification of properties. This thesis aims at making a contribution in the formal verification of properties of MAS via model checking. In particular, the following points are addressed: • Theoretical results about model checking methodologies for MAS, obtained by extending traditional methodologies based on Ordered Binary Decision Diagrams (OBDDS) for temporal logics to multi-modal logics for time, knowledge, correct behaviour, and strategies of agents. Complexity results for model checking these logics (and their symbolic representations). • Development of a software tool (MCMAS) that permits the specification and verification of MAS described in the formalism of interpreted systems. • Examples of application of MCMAS to various MAS scenarios (communication, anonymity, games, hardware diagnosability), including experimental results, and comparison with other tools available.
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Blackburn, Ian Russell. "A conceptual multi-model HCI model for the blind." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/575.

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The ability for blind people to read and write Braille aids literacy development. A good level of literacy enables a person to function well in society in terms of employment, education and daily living. The learning of Braille has traditionally been done with hard copy Braille produced by manual and more recently electronic Braille writers and printers. Curtin University is developing an electronic Braille writer and the research on an interface for Braille keyboard devices, presented in this thesis, forms part of the Curtin University Brailler project.The Design Science approach was the research method chosen for this research because of the flexibility of the approach and because it focuses upon the building of artefacts and theory development. The small sample size meant that both individual interviews and a focus group were employed to gather relevant data from respondents. The literature review covers a variety of areas related to computer interfaces and Braille keyboard devices. A key finding is that the interaction paradigm for Braille keyboard devices needs to differ to interfaces for sighted individuals because of the audio, tactile and serial nature of the information gathering strategies employed by blind people as compared with the visual and spatial information gathering strategies employed by sighted individuals. In terms of usability attributes designed to evaluate the interface consistency was found to be a key factor because of its importance to learning and memory retention.However, two main functions carried out on a computer system are navigating and editing. Thus the model of interface for Braille keyboard devices presented in this thesis focuses upon navigation support and editing support.Feedback was sort from by interviews with individuals and a focus group. Individual interviews were conducted face to face and via the telephone and the focus group was conducted via Skype conference call to enable participants from all over the world to provide feedback on the model.The model was evaluated using usability attributes. Usability was important to the respondents, in particular consistency, learnability, simplicity and ease of use were important. The concept of rich navigation and infinitely definable key maps were understood by respondents and supported. Braille output is essential including the ability to show formatting information in Braille.The limitations of the research included the few respondents to the interviews and the choice to focus upon a theoretical model rather than implementing the model on an actual device. Future research opportunities include implementing the interface concepts from the model on to touch screen devices to aid further development of the interface and implementing the interface on a physical device such as the Curtin University Brailler.
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Kelly, R. J. "Mathematical model of multi-phase snowmelt." Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377740.

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Schagerström, Lukas. "Valideringsstudie av Multi-Zone Fire Model." Thesis, Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-78682.

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Det finns ett flertal brandsimuleringsprogram på marknaden som används i olika utsträckning varav ett är Fire Dynamics Simulator (FDS). En av nackdelarna med FDS är att det kan ta mycket tid att göra en brandsimulering. Det finns brandsimuleringsprogram som med stor sannolikhet utför brandsimuleringar snabbare än FDS. För några av dessa brandsimuleringsprogram finns det inte någon dokumentation om hur resultaten som brandsimuleringsprogrammen producerar ställer sig mot det som skulle hända i verkligheten vid en brand, något som kallas att vara valideratdet vill säga programmen är inte validerade. Ett av dessa brandsimuleringsprogram är Multi-Zone Fire Model (MZ-Fire Model). Brandsimuleringsprogrammet MZ-Fire Model bygger på ett multizonkoncept framtaget av Suzuki et al. Multizonkonceptet har validerats i tidigare studier varav ett är en brand i tunnel men även bränder i mindre lokaler har prövats. Det finns utrymme för ökad kunskap om hur multizonkonceptet hanterar bränder i stora rumslokaler då det inte finns någon känd dokumentation kring detta. Det finns i dagsläget inte en enda studie som behandlar brandsimuleringsprogrammet MZ-Fire Model. I rapporten redogörs för simulerande av en brand i 4 olika rum av brandsimuleringsprogrammen MZ-Fire Model och FDS, dess simulerade värden är sedan jämförda mot varandra.
There are a number of fire simulation programs on the market that are used to varying degrees, one of which is Fire Dynamics Simulator (FDS). One of the disadvantages of FDS is that it can take a lot of time to do a fire simulation. There are fire simulation programs that are very likely to perform fire simulations faster than FDS. For some of these fire simulation programs, there is no documentation on how the results produced by the programs compare with what would happen in the event of a real fire, something called to bethat is they are not validated. One of these fire simulation programs is Multi-Zone Fire Model (MZ-Fire Model). The fire simulation program MZ-Fire Model is based on a multi-zone concept developed by Suzuki et al. The multi-zone concept has been validated in previous studies, one of which is a fire in a tunnel but fires in smaller premises have also been tested. There is room for increased knowledge about how the multi-zone concept handles fires in large rooms, as there is no known documentation on this. Currently, there is not a single study dealing with the MZ-Fire Model program. The report describes the simulation of a fire in 4 different rooms by the programs MZ-Fire Model and FDS, its simulated values ​​are then compared against each other.
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Kwon, Ky-Sang. "Multi-layer syntactical model transformation for model based systems engineering." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42835.

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This dissertation develops a new model transformation approach that supports engineering model integration, which is essential to support contemporary interdisciplinary system design processes. We extend traditional model transformation, which has been primarily used for software engineering, to enable model-based systems engineering (MBSE) so that the model transformation can handle more general engineering models. We identify two issues that arise when applying the traditional model transformation to general engineering modeling domains. The first is instance data integration: the traditional model transformation theory does not deal with instance data, which is essential for executing engineering models in engineering tools. The second is syntactical inconsistency: various engineering tools represent engineering models in a proprietary syntax. However, the traditional model transformation cannot handle this syntactic diversity. In order to address these two issues, we propose a new multi-layer syntactical model transformation approach. For the instance integration issue, this approach generates model transformation rules for instance data from the result of a model transformation that is developed for user model integration, which is the normal purpose of traditional model transformation. For the syntactical inconsistency issue, we introduce the concept of the complete meta-model for defining how to represent a model syntactically as well as semantically. Our approach addresses the syntactical inconsistency issue by generating necessary complete meta-models using a special type of model transformation.
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Shan, Liang. "Joint Gaussian Graphical Model for multi-class and multi-level data." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/81412.

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Gaussian graphical model has been a popular tool to investigate conditional dependency between random variables by estimating sparse precision matrices. The estimated precision matrices could be mapped into networks for visualization. For related but different classes, jointly estimating networks by taking advantage of common structure across classes can help us better estimate conditional dependencies among variables. Furthermore, there may exist multilevel structure among variables; some variables are considered as higher level variables and others are nested in these higher level variables, which are called lower level variables. In this dissertation, we made several contributions to the area of joint estimation of Gaussian graphical models across heterogeneous classes: the first is to propose a joint estimation method for estimating Gaussian graphical models across unbalanced multi-classes, whereas the second considers multilevel variable information during the joint estimation procedure and simultaneously estimates higher level network and lower level network. For the first project, we consider the problem of jointly estimating Gaussian graphical models across unbalanced multi-class. Most existing methods require equal or similar sample size among classes. However, many real applications do not have similar sample sizes. Hence, in this dissertation, we propose the joint adaptive graphical lasso, a weighted L1 penalized approach, for unbalanced multi-class problems. Our joint adaptive graphical lasso approach combines information across classes so that their common characteristics can be shared during the estimation process. We also introduce regularization into the adaptive term so that the unbalancedness of data is taken into account. Simulation studies show that our approach performs better than existing methods in terms of false positive rate, accuracy, Mathews correlation coefficient, and false discovery rate. We demonstrate the advantage of our approach using liver cancer data set. For the second one, we propose a method to jointly estimate the multilevel Gaussian graphical models across multiple classes. Currently, methods are still limited to investigate a single level conditional dependency structure when there exists the multilevel structure among variables. Due to the fact that higher level variables may work together to accomplish certain tasks, simultaneously exploring conditional dependency structures among higher level variables and among lower level variables are of our main interest. Given multilevel data from heterogeneous classes, our method assures that common structures in terms of the multilevel conditional dependency are shared during the estimation procedure, yet unique structures for each class are retained as well. Our proposed approach is achieved by first introducing a higher level variable factor within a class, and then common factors across classes. The performance of our approach is evaluated on several simulated networks. We also demonstrate the advantage of our approach using breast cancer patient data.
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Belkhouche, Mohammed Yassine. "Multi-perspective, Multi-modal Image Registration and Fusion." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc149562/.

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Multi-modal image fusion is an active research area with many civilian and military applications. Fusion is defined as strategic combination of information collected by various sensors from different locations or different types in order to obtain a better understanding of an observed scene or situation. Fusion of multi-modal images cannot be completed unless these two modalities are spatially aligned. In this research, I consider two important problems. Multi-modal, multi-perspective image registration and decision level fusion of multi-modal images. In particular, LiDAR and visual imagery. Multi-modal image registration is a difficult task due to the different semantic interpretation of features extracted from each modality. This problem is decoupled into three sub-problems. The first step is identification and extraction of common features. The second step is the determination of corresponding points. The third step consists of determining the registration transformation parameters. Traditional registration methods use low level features such as lines and corners. Using these features require an extensive optimization search in order to determine the corresponding points. Many methods use global positioning systems (GPS), and a calibrated camera in order to obtain an initial estimate of the camera parameters. The advantages of our work over the previous works are the following. First, I used high level-features, which significantly reduce the search space for the optimization process. Second, the determination of corresponding points is modeled as an assignment problem between a small numbers of objects. On the other side, fusing LiDAR and visual images is beneficial, due to the different and rich characteristics of both modalities. LiDAR data contain 3D information, while images contain visual information. Developing a fusion technique that uses the characteristics of both modalities is very important. I establish a decision-level fusion technique using manifold models.
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Books on the topic "Multi-model"

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Anastasopoulos, Achilles. Cross model access in the multi-lingual, multi-model database management system. Monterey, Calif: Naval Postgraduate School, 1997.

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Pistikopoulos, Efstratios N., Michael C. Georgiadis, and Vivek Dua, eds. Multi-Parametric Model-Based Control. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2007. http://dx.doi.org/10.1002/9783527631230.

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Lindgren, Peter. The Multi Business Model Innovation Approach. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339755.

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Fund, International Monetary. MULTIMOD: A multi-region econometric model. Washington, D.C: International Monetary Fund, 1988.

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Introduction to multi-disciplinary model-building. Southampton, UK: WIT Press, 2003.

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Stewart, Dianne. A model of a multi-product bank with multi-economies of scale. London: Department of Economics, School of Oriental and African Studies, University of London, 1992.

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Stam, Jos. A multi-scale stochastic model for computer graphics. Toronto: University of Toronto, Dept. of Computer Science, 1991.

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Bunt, H. C. A model-theoretic approach to multi-database knowledgerepresentation. Tilburg: Tilburg University, 1989.

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Emotionality and mental illness: A multi-dimensional model. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Stam, Jos. A multi-scale stochastic model for computer graphics. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Book chapters on the topic "Multi-model"

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Mauri, Davide, Silvano Coriani, Anna Hoffman, Sanjay Mishra, and Jovan Popovic. "Multi-model Capabilities." In Practical Azure SQL Database for Modern Developers, 193–233. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6370-9_8.

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Ye, Andre, and Andy Wang. "Multi-model Arrangement." In Modern Deep Learning for Tabular Data, 753–70. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8692-0_11.

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Döll, Carsten, Jean-François Magni, and Yann Le Gorrec. "A model multi-model approach." In Robust Flight Control, 258–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0113863.

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Bestle, D., and P. Eberhard. "Multi–Criteria Multi–Model Design Optimization." In IUTAM Symposium on Optimization of Mechanical Systems, 33–40. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_5.

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Campolieti, Giuseppe, and Roman N. Makarov. "General Multi-Asset Multi-Period Model." In Financial Mathematics, 397–462. 2nd ed. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429503665-8.

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Galdran, Adrian, Johan W. Verjans, Gustavo Carneiro, and Miguel A. González Ballester. "Multi-Head Multi-Loss Model Calibration." In Lecture Notes in Computer Science, 108–17. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43898-1_11.

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Kouramas, Konstantinos, and Vivek Dua. "Hybrid Parametric Model-Based Control." In Multi-Parametric Model-Based Control, 25–48. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527631230.ch2.

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Kouramas, Konstantinos I., Vassilis Sakizlis, and Efstratios N. Pistikopoulos. "Robust Parametric Model-Based Control." In Multi-Parametric Model-Based Control, 49–76. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527631230.ch3.

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Čontoš, Pavel. "Abstract Model for Multi-model Data." In Database Systems for Advanced Applications, 647–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73200-4_53.

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Sakizlis, Vassilis, Konstantinos I. Kouramas, and Efstratios N. Pistikopoulos. "Linear Model Predictive Control via Multiparametric Programming." In Multi-Parametric Model-Based Control, 1–23. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527631230.ch1.

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Conference papers on the topic "Multi-model"

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Riggs, J. B., and P. L. Lee. "Multi-model decoupled generic model control." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.609229.

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Lu, Qin, Malgorzata Peszynska, and Mary F. Wheeler. "A Parallel Multi-Block Black-Oil Model in Multi-Model Implementation." In SPE Reservoir Simulation Symposium. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/66359-ms.

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Kataoka, Satoshi, and Shinichi Honiden. "Multi-Robot Positioning Model: Multi-Agent Approach." In 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06). IEEE, 2006. http://dx.doi.org/10.1109/cimca.2006.153.

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Groppe, Sven, and Jinghua Groppe. "Hybrid Multi-model Multi-platform (HM3P) Databases." In 9th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009802401770184.

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Savadi, Abdorreza, Morteza Moradi, and Hossein Deldari. "Multi-DaC programming model." In the 7th workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2103736.2103743.

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Claes, Rutger, and Tom Holvoet. "Multi-model traffic microsimulations." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429657.

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Delmotte, F., J. Lauber, and T. M. Guerra. "A multi-model controller." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630574.

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Emami, Ahmad, and Stanley F. Chen. "Multi-class Model M." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947608.

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Ozden, K. E., M. Tozlu, and S. Ergut. "Multi-model visual localization." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531448.

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Klare, Heiko. "Multi-model consistency preservation." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3270112.3275335.

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Reports on the topic "Multi-model"

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Hubbard, Joshua Allen, Joshua Santarpia, Christopher M. Brotherton, Michael Alexis Omana, Danielle Rivera, and Gabriel Anthony Lucero. Multi-compartment Aerosol Transport Model. Office of Scientific and Technical Information (OSTI), June 2017. http://dx.doi.org/10.2172/1364755.

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Mallon, Lawrence G. Multi-Modal Terminal Model Documentation. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada460376.

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Hamann, Hendrik F. A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology. Office of Scientific and Technical Information (OSTI), May 2017. http://dx.doi.org/10.2172/1395344.

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Villa, Daniel, Charles Morrow, Johan Vanneste, Emily Gustafson, NREL Sertac Akar, Craig Turchi, and Tzahi Cath. Multi-configuration Membrane Distillation Model (MCMD). Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1489619.

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Koo, Heeseok, Alexander Brown, Tyler Voskuilen, and Flint Pierce. Rubble Fire Multi-Phase Model Development. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1599979.

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Byler, Eleanor, Elise Bishoff, Charles Godfrey, and Myles McKay. Gumby: Quantifying multi-modal model resiliency. Office of Scientific and Technical Information (OSTI), September 2023. http://dx.doi.org/10.2172/2331295.

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Kirschenbaum, Susan S. A Multi-Stage, Multi-Level Conceptual Model of Human Decision Making. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada184942.

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Cornuelle, Bruce D. Collaborative Proposal: Ocean Currents Forecasts Using Multi-model, Multi-scale Assimilation. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598641.

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Hansen, James A. Interpreting, Improving, and Augmenting Multi-Model Ensembles. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada444387.

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Ray, Jaideep, Katherine Regina Cauthen, Sophia Lefantzi, and Lynne Burks. Conditioning multi-model ensembles for disease forecasting. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1492995.

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