Relevant bibliographies by topics / Multi-domain

Contents

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

Academic literature on the topic 'Multi-domain'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Multi-domain"

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Skarżyński, Mirosław. "Multi-domain logistics." Systemy Logistyczne Wojsk 55, no. 2 (December 31, 2021): 213–24. http://dx.doi.org/10.37055/slw/145862.

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W artykule przedstawiono koncepcję nowego rodzaju starcia zbrojnego, jakim jest bitwa wielodomenowa. Rozważania skupiono na przyszłych operacjach wojskowych, w których bitwy będą prowadzone w wielu sferach. Obecnie bada się jednoczesne wykorzystanie siły kinetycznej i siły niekinetycznej w pięciu wymiarach przestrzeni: lądowej, morskiej, powietrznej, kosmicznej i cybernetycznej. Wielodomenowe siły zadaniowe będą dysponowały zaawansowanym uzbrojeniem i sprzętem oraz zdolnościami zapewniającymi osiągnięcie przewagi nad przeciwnikiem dążącym do konfrontacji ze Stanami Zjednoczonymi. Doświadczenia historyczne potwierdzają, że logistyka determinuje osiągnięcie zwycięstwa w działaniach wojennych, dlatego konieczne są analizy problematyki bitwy wielodomenowej z punktu widzenia możliwości zaspokojenia potrzeb wojsk zaangażowanych w nowy model starcia zbrojnego. W tym celu dokonano identyfikacji logistyki wielodomenowej i zaproponowano definicję pojęcia. Scharakteryzowano uwarunkowania funkcjonowania systemu logistycznego w bitwie wielodomenowej i zwrócono uwagę na rolę transportu w dostawach zaopatrzenia. Przedstawiono nowy wariant organizacji dowozu do wysoce mobilnych pododdziałów działających w dużym oddaleniu od sił głównych. Dzięki wykorzystaniu transportowych bezzałogowych statków powietrznych znajdujących się etatowo w kompanii wsparcia stanie się możliwe na obszarze operacji wielodomenowej samodzielne zaspokojenie potrzeb materiałowych pododdziałów wchodzących w skład brygady. Przeniesienie części dostaw w nowy wymiar przestrzeni wymagać będzie wdrożenia do wojsk lądowych nowych rodzajów bezzałogowych statków powietrznych i stworzenia procedur ich właściwego wykorzystania w celu wyzyskania w pełni ich możliwości działania w zróżnicowanym środowisku operacyjnym. Obecnie prowadzone testy prototypów są na tyle zaawansowane, że za kilka lat dostawy zaopatrzenia za pomocą bezzałogowych statków powietrznych do pododdziałów staną się rutynowym przedsięwzięciem realizowanym w ramach logistyki taktycznej, podobnie jak obecnie prowadzony dowóz środków bojowych i materiałowych kolumnami samochodów ciężarowo-terenowych.
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Jang, Won Hee, Young Joo Jeong, Sun Hee Choi, Won Hee Lee, Mooseong Kim, Sang-Jin Kim, Sang-Hwa Urm, Il Soo Moon, and Dae-Hyun Seog. "Parkin Interacts with the PDZ Domain of Multi-PDZ Domain Protein MUPP1." Journal of Life Science 24, no. 8 (August 30, 2014): 820–26. http://dx.doi.org/10.5352/jls.2014.24.8.820.

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Michaeli, T., Y. C. Eldar, and G. Sapiro. "Semi-supervised single- and multi-domain regression with multi-domain training." Information and Inference 1, no. 1 (November 12, 2012): 68–97. http://dx.doi.org/10.1093/imaiai/ias003.

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Aggarwal, Sonali. "Multi-Domain Sentiment Analysis." International Journal of Computer Trends and Technology 69, no. 3 (March 25, 2021): 85–89. http://dx.doi.org/10.14445/22312803/ijctt-v69i3p115.

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Poo, Chiang-Choon Danny, and Hongjun Lu. "Multi-domain expert systems." Expert Systems 8, no. 2 (May 1991): 67–73. http://dx.doi.org/10.1111/j.1468-0394.1991.tb00254.x.

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Liu, Wangyang, Nan Hua, Xiaoping Zheng, and Bingkun Zhou. "Intelligent Inter-domain Connection Provisioning for Multi-domain Multi-vendor Optical Networks." Journal of Optical Communications and Networking 7, no. 3 (February 27, 2015): 176. http://dx.doi.org/10.1364/jocn.7.000176.

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Lee, Seongmin, Hyunsik Jeon, and U. Kang. "Multi-EPL: Accurate multi-source domain adaptation." PLOS ONE 16, no. 8 (August 5, 2021): e0255754. http://dx.doi.org/10.1371/journal.pone.0255754.

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Given multiple source datasets with labels, how can we train a target model with no labeled data? Multi-source domain adaptation (MSDA) aims to train a model using multiple source datasets different from a target dataset in the absence of target data labels. MSDA is a crucial problem applicable to many practical cases where labels for the target data are unavailable due to privacy issues. Existing MSDA frameworks are limited since they align data without considering labels of the features of each domain. They also do not fully utilize the target data without labels and rely on limited feature extraction with a single extractor. In this paper, we propose Multi-EPL, a novel method for MSDA. Multi-EPL exploits label-wise moment matching to align the conditional distributions of the features for the labels, uses pseudolabels for the unavailable target labels, and introduces an ensemble of multiple feature extractors for accurate domain adaptation. Extensive experiments show that Multi-EPL provides the state-of-the-art performance for MSDA tasks in both image domains and text domains, improving the accuracy by up to 13.20%.
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van Elteren, Arjen, Inti Pelupessy, and Simon Portegies Zwart. "Multi-scale and multi-domain computational astrophysics." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2021 (August 6, 2014): 20130385. http://dx.doi.org/10.1098/rsta.2013.0385.

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Astronomical phenomena are governed by processes on all spatial and temporal scales, ranging from days to the age of the Universe (13.8 Gyr) as well as from kilometre size up to the size of the Universe. This enormous range in scales is contrived, but as long as there is a physical connection between the smallest and largest scales it is important to be able to resolve them all, and for the study of many astronomical phenomena this governance is present. Although covering all these scales is a challenge for numerical modellers, the most challenging aspect is the equally broad and complex range in physics, and the way in which these processes propagate through all scales. In our recent effort to cover all scales and all relevant physical processes on these scales, we have designed the Astrophysics Multipurpose Software Environment (AMUSE). AMUSE is a Python-based framework with production quality community codes and provides a specialized environment to connect this plethora of solvers to a homogeneous problem-solving environment.
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Iqbal, Farabi, Jeroen van der Ham, and Fernando Kuipers. "Technology-aware multi-domain multi-layer routing." Computer Communications 62 (May 2015): 85–96. http://dx.doi.org/10.1016/j.comcom.2015.01.010.

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Yuan, Zhigang, Sixing Wu, Fangzhao Wu, Junxin Liu, and Yongfeng Huang. "Domain attention model for multi-domain sentiment classification." Knowledge-Based Systems 155 (September 2018): 1–10. http://dx.doi.org/10.1016/j.knosys.2018.05.004.

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Dissertations / Theses on the topic "Multi-domain"

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Alvarado, Christine J. (Christine Jean) 1976. "Multi-domain sketch understanding." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/26721.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 121-128).
by Christine J. Alvarado.
Ph.D.
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Tian, Tian. "Domain Adaptation and Model Combination for the Annotation of Multi-source, Multi-domain Texts." Thesis, Paris 3, 2019. http://www.theses.fr/2019PA030003.

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Internet propose aujourd’hui aux utilisateurs de services en ligne de commenter, d’éditer et de partager leurs points de vue sur différents sujets de discussion. Ce type de contenu est maintenant devenu la ressource principale pour les analyses d’opinions sur Internet. Néanmoins, à cause des abréviations, du bruit, des fautes d’orthographe et toutes autres sortes de problèmes, les outils de traitements automatiques des langues, y compris les reconnaisseurs d’entités nommées et les étiqueteurs automatiques morphosyntaxiques, ont des performances plus faibles que sur les textes bien-formés (Ritter et al., 2011).Cette thèse a pour objet la reconnaissance d’entités nommées sur les contenus générés par les utilisateurs sur Internet. Nous avons établi un corpus d’évaluation avec des textes multi-sources et multi-domaines. Ensuite, nous avons développé un modèle de champs conditionnels aléatoires, entrainé sur un corpus annoté provenant des contenus générés par les utilisateurs.Dans le but d’améliorer les résultats de la reconnaissance d’entités nommées, nous avons d’abord développé un étiqueteur morpho-syntaxique sur les contenus générés par les utilisateurs et nous avons utilisé les étiquettesprédites comme un attribut du modèle des champs conditionnels aléatoire. Enfin, pour transformer les contenus générés par les utilisateurs en textes bien-formés, nous avons développé un modèle de normalisation lexicale basé sur des réseaux de neurones pour proposer une forme correcte pour les mots non-standard
The increasing mass of User-Generated Content (UGC) on the Internet means that people are now willing to comment, edit or share their opinions on different topics. This content is now the main ressource for sentiment analysis on the Internet. Due to abbreviations, noise, spelling errors and all other problems with UGC, traditional Natural Language Processing (NLP) tools, including Named Entity Recognizers and part-of-speech (POS) taggers, perform poorly when compared to their usual results on canonical text (Ritter et al., 2011).This thesis deals with Named Entity Recognition (NER) on some User-Generated Content (UGC). We have created an evaluation dataset including multi-domain and multi-sources texts. We then developed a Conditional Random Fields (CRFs) model trained on User-Generated Content (UGC).In order to improve NER results in this context, we first developed a POStagger on UGC and used the predicted POS tags as a feature in the CRFs model. To turn UGC into canonical text, we also developed a normalization model using neural networks to propose a correct form for Non-Standard Words (NSW) in the UGC
各种社交网络应用使得互联网用户对各种话题的实时评价，编辑和分享成为可能。这类用户生成的文本内容(User Generated content)已成为社交网络上意见分析的主要目标和来源。但是，此类文本内容中包含的缩写，噪声（不规则词），拼写错误以及其他各种问题导致包括命名实体识别，词性标注在内的传统的自然语言处理工具的性能，相比良好组成的文本降低了许多【参见Ritter 2011】。本论文的主要目标是针对社交网络上用户生成文本内容的命名实体识别。我们首先建立了一个包含多来源，多领域文本的有标注的语料库作为标准评价语料库。然后，我们开发了一个由社交网络用户生成文本训练的基于条件随机场(Conditional Random Fields)的序列标注模型。基于改善这个命名实体识别模型的目的，我们又开发了另一个同样由社交网络用户生成内容训练的词性标注模型，并使用此模型预测的词性作为命名实体识别的条件随机场模型的特征。最后，为了将用户生成文本内容转换成相对标准的良好文本内容，我们开发了一个基于神经网络的词汇标准化模型，用以改正用户生成文本内容中的不标准字，并使用模型提供的改正形式作为命名实体识别的条件随机场模型的特征，借以改善原模型的性能。
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Honório, Frederico Santos. "Multi-domain record linkage platform." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/11750.

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Mestrado em Engenharia de Computadores e Telemática
This dissertation proposes and presents a technologic framework to perform record linkage. The proposed approach begins by defining a sequence of tasks necessary for record linkage. Then, several methods to split these tasks in small work units are discussed. The solution architecture is based on various executors that carry out the work units in a parallel manner, thereby making the process quicker. Finally, the benefits of using this approach in different contexts are also presented.
Esta dissertação propõe e apresenta uma ferramenta tecnológica que permite realizar mapeamento de registos. A abordagem proposta começa por definir uma sequência de tarefas necessárias para efetuar o mapeamento de registos. São depois discutidos métodos de separar estas tarefas em unidades de trabalho reduzidas. A solução baseia-se numa arquitetura composta por vários executores que levam a cabo essas unidades de trabalho de uma forma paralela, objectivando-se um processo mais rápido. As vantagens da utilização desta abordagem em diferentes contextos são também estudadas.
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Batey, Sarah. "Folding in a multi-domain protein." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614980.

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Alqadah, Faris. "Clustering of Multi-Domain Information Networks." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1275657962.

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Wouters, Laurent. "Multi-domain expert-user modeling infrastructure." Paris 6, 2013. http://www.theses.fr/2013PA066200.

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Ce travail a été réalisé dans un contexte industriel dans l’entreprise European Aeronautics Defense and Space Company (EADS). EADS recherche donc constamment de nouveaux moyens d’analyser la sécurité du système homme-machine dans sa globalité, c'est-à-dire l’avion, les pilotes et les procédures, comme un tout. Ces analyses de sécurité sont réalisées tout au long du cycle de conception, depuis la conception préliminaire à la conception détaillée et jusqu'à la phase de certification. EADS essaye de réaliser ces analyses beaucoup plus tôt dans le cycle de conception, lorsque seulement des modèles sont disponibles. Une question en suspend est alors comment assurer la collaboration entre les experts de plusieurs domaines (cockpit, procédures, psychologie cognitive) pour qu’ils puissent construite un artefact commun (un modèle) sur lequel ils pourraient s’appuyer pour réaliser les analyses de la sécurité du système homme-machine dans sa globalité. Cette thèse identifie et adresse trois questions. Premièrement, les langages de modélisation dédiés aux domaines doivent être sémantiquement alignés pour que l’artefact commun puisse être exprimé de manière cohérente. Deuxièmement, des notations visuelles spécifiques aux domaines doivent être produites pour le même artefact commun. Troisièmement, l’activité de modélisation des experts doit être supportée au mieux et pour cela les notations visuelles des langages de modélisation doivent être le plus proche possible des pratiques courantes dans les domaines respectifs. Cette thèse propose l’Infrastructure xOWL comme une solution intégrée à ces trois questions
This work has been realized in an industrial context at the European Aeronautics Defense and Space Company (EADS). EADS is researching new ways to assess the safety of the overall human-machine system, i. E. , the aircraft, pilots and operating procedures as a whole. These safety assessments are conducted throughout the design cycle of the product, from the preliminary design to the detailed design and up to the certification phase. EADS is trying to perform these thorough safety assessments much earlier in the development cycle, when only models are available, thus, phasing-in a model-driven approach of the problem. An issue is then how to enable the collaboration of experts from multiple domains (cockpit, procedures, and cognitive psychology) for them to build a common model artifact that can be leveraged in the safety assessment of the overallhuman-machine system. This work considers that experts in each domain must be provided a domain-specific modeling environment, giving them access to a common model artifact, but through a domain-specific notation. This thesis identifies and considers three issues in this regard. First, the domain-specific modeling languages need to be semantically aligned so that the common model artifact can be consistently expressed. Second, multiple domain-specific visual notations need to be produced for the same underlying common model artifact. Third, domain experts modeling activities need to be supported at best and thus the provided domain-specific notations need to be as close as possible to the existing practices in the domains. This thesis then proposes the xOWL Infrastructure as an integrated solution to the three issues
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Rüßmann, Florian. "The eukaryotic chaperonin TRiC domain-wise folding of multi-domain proteins." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-157246.

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Taromirad, Masoumeh. "A Modelling Approach to Multi-Domain Traceability." Doctoral thesis, University of York, York, United Kingdom, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-29156.

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Traceability is an important concern in projects that span dierent engineering domains. Traceability can also be mandated, exploited and managed across the engineering lifecycle, and may involve defining connections between heterogeneous models. As a result, traceability can be considered to be multi-domain. This thesis introduces the concept and challenges of multi-domain traceability and explains how it can be used to support typical traceability scenarios. It proposes a model-based approach to develop a traceability solution which eectively operates across multiple engineering domains. The approach introduced a collection of tasks and structures which address the identified challenges for a traceability solution in multi-domain projects. The proposed approach demonstrates that modelling principles and MDE techniques cab help to address current challenges and consequently improve the eectiveness of a multi-domain traceability solution. A prototype of the required tooling to support the approach is implemented with EMF and atop Epsilon; it consists of an implementation of the proposed structures (models) and model management operations to support traceability. Moreover, the approach is illustrated in the context of two safety-critical projects where multi-domain traceability is required to underpin certification arguments.
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Tan, Alvin Kee Keong. "Service management for multi-domain active networks." Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406917.

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Zhang, Jingyao. "SUNSHINE: A Multi-Domain Sensor Network Simulator." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/45146.

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Simulators are important tools for analyzing and evaluating different design options for wireless sensor networks (sensornets) and hence, have been intensively studied in the past decades. However, existing simulators only support evaluations of protocols and software aspects of sensornet design. They cannot accurately capture the significant impacts of various hardware designs on sensornet performance. As a result, the performance/energy benefits of customized hardware designs are difficult to be evaluated in sensornet research. To fill in this technical void, in this thesis, we describe the design and implementation of SUNSHINE, a scalable hardware-software cross-domain simulator for sensornet applications. SUNSHINE is the first sensornet simulator that effectively supports joint evaluation and design of sensor hardware and software performance in a networked context. SUNSHINE captures the performance of network protocols, software and hardware up to cycle-level accuracy through its seamless integration of three existing sensornet simulators: a network simulator TOSSIM, an instruction-set simulator SimulAVR and a hardware simulator GEZEL. SUNSHINE solves challenging design problems, including data exchanges and time synchronizations across different simulation domains and simulation accuracy levels. SUNSHINE also provides hardware specification scheme for simulating flexible and customized hardware designs. Several experiments are given to illustrate SUNSHINEâ s cross-domain simulation capability, demonstrating that SUNSHINE is an efficient tool for software-hardware codesign in sensornet research.
Master of Science
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Books on the topic "Multi-domain"

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Darbes, Steven, ed. Multi-Domain Command and Control. Washington, D.C.: National Academies Press, 2018. http://dx.doi.org/10.17226/25316.

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Cheung, YiuChung. Multi-lingual domain name system. Oxford: Oxford Brookes University, 2001.

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M, Jameson Leland, and Langley Research Center, eds. A waverlet optimized adaptive multi-domain method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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M, Jameson Leland, and Langley Research Center, eds. A waverlet optimized adaptive multi-domain method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Hesthaven, J. S. A wavelet optimized adaptive multi-domain method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Hesthaven, Jan S. A waverlet optimized adaptive multi-domain method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Don, Wai-Sun. A multi-domain spectral method for supersonic reactive flows. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2002.

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David, Gottlieb, Jung Jae-Hun, and Institute for Computer Applications in Science and Engineering., eds. A multi-domain spectral method for supersonic reactive flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, National Aeronautics and Space Administration, Langley Research Center, 2002.

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David, Gottlieb, Jung Jae-Hun, and Institute for Computer Applications in Science and Engineering., eds. A multi-domain spectral method for supersonic reactive flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, National Aeronautics and Space Administration, Langley Research Center, 2002.

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David, Gottlieb, Jung Jae-Hun, and Institute for Computer Applications in Science and Engineering., eds. A multi-domain spectral method for supersonic reactive flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, National Aeronautics and Space Administration, Langley Research Center, 2002.

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Book chapters on the topic "Multi-domain"

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Tiller, Michael. "Multi-Domain Modeling." In Introduction to Physical Modeling with Modelica, 231–53. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1561-6_10.

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Walsh, Anthony. "IT’S Multi Domain." In Scientific Literacy Under the Microscope, 81–92. Rotterdam: SensePublishers, 2011. http://dx.doi.org/10.1007/978-94-6091-528-4_9.

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Martinez-Martin, Pablo, Carmen Rodriguez-Blazquez, Maria João Forjaz, and Kallol Ray Chaudhuri. "Multi-domain Scales." In Guide to Assessment Scales in Parkinson’s Disease, 13–23. Tarporley: Springer Healthcare Ltd., 2014. http://dx.doi.org/10.1007/978-1-907673-88-7_2.

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Machado, J. A. Tenreiro, and Vitor M. R. Cunha. "Multi-domain Systems." In An Introduction to Bond Graph Modeling with Applications, 143–70. First edition. | Boca Raton : Chapman & Hall/CRC Press, 2021.: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003057741-7.

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Ghani, Nasir, Qing Liu, Nageswara S. V. Rao, and Ashwin Gumaste. "Multi-Domain Traffic Grooming." In Optical Networks, 237–52. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74518-3_15.

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Gasior, Dariusz. "Multi-Domain Virtual SDNs." In Resource Allocation for Software Defined Networks, 91–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59098-7_6.

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Behzadi, Behshad, and Martin Vingron. "Reconstructing Domain Compositions of Ancestral Multi-domain Proteins." In Comparative Genomics, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11864127_1.

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Dolan, James A. "Multi-Domain Gyroid Optical Metamaterials." In Springer Theses, 87–104. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03011-7_6.

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Otter, Martin. "Multi-domain Modeling and Simulation." In Encyclopedia of Systems and Control, 805–16. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_140.

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Otter, Martin. "Multi-domain Modeling and Simulation." In Encyclopedia of Systems and Control, 1–14. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5102-9_140-1.

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Conference papers on the topic "Multi-domain"

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Wouters, Laurent, Yuki Kaeri, and Kenji Sugawara. "Multi-domain multi-lingual collaborative design." In 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2013. http://dx.doi.org/10.1109/cscwd.2013.6580974.

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Crane, Jason, Islam Hussein, Ronnie Mainieri, and Lorraine Weis. "Theoretical development of multi-domain command and control." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, edited by Tien Pham. SPIE, 2019. http://dx.doi.org/10.1117/12.2518894.

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Blasch, Erik, Jonathan D. Ashdown, Fotis Kopsaftopoulos, Carlos A. Varela, and Richard H. Newkirk. "Dynamic data driven analytics for multi-domain environments." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, edited by Tien Pham. SPIE, 2019. http://dx.doi.org/10.1117/12.2519210.

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Traille, A., and M. M. Tentzeris. "Multi-resolution time-domain and level-set techniques for multi-domain/multi-physics/multi-phase simulations." In 2011 IEEE/MTT-S International Microwave Symposium - MTT 2011. IEEE, 2011. http://dx.doi.org/10.1109/mwsym.2011.5972741.

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Traille, A., and M. M. Tentzeris. "Multi-resolution time-domain and level-set techniques for multi-domain/multi-physics/multi-phase simulations." In 2011 IEEE/MTT-S International Microwave Symposium - MTT 2011. IEEE, 2011. http://dx.doi.org/10.1109/mwsym.2011.5973449.

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Verma, Dinesh, Elisa Bertino, Alessandra Russo, Seraphin Calo, and Ankush Singla. "Policy based ensembles for multi domain operations." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, edited by Tien Pham, Latasha Solomon, and Katie Rainey. SPIE, 2020. http://dx.doi.org/10.1117/12.2558727.

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Masip, Xavi, and Marcelo Yannuzzi. "Optical Multi-Domain Routing." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/ofc.2009.owl1.

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Li, Shoushan, and Chengqing Zong. "Multi-domain sentiment classification." In the 46th Annual Meeting of the Association for Computational Linguistics. Morristown, NJ, USA: Association for Computational Linguistics, 2008. http://dx.doi.org/10.3115/1557690.1557765.

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Rusu, Stefan. "F6: Multi-domain processors." In 2009 IEEE International Solid-State Circuits Conference (ISSCC 2009). IEEE, 2009. http://dx.doi.org/10.1109/isscc.2009.4977534.

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Hatture, Sachin, and Sudhir Dhage. "Multi-clock domain synchronizers." In 2015 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC). IEEE, 2015. http://dx.doi.org/10.1109/iccpeic.2015.7259493.

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Reports on the topic "Multi-domain"

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Robson, Christopher L. Multi-Service Domain Protecting Interface Architecture. Fort Belvoir, VA: Defense Technical Information Center, December 2008. http://dx.doi.org/10.21236/ada492415.

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Markel, Herb. Multi-Domain Network Management Boundary Device. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada408321.

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Robson, Christopher L. Exploiting the Multi-Service Domain Protecting Interface. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada569182.

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Adamson, A., and N. Williams. Requirements for NFSv4 Multi-Domain Namespace Deployment. RFC Editor, November 2016. http://dx.doi.org/10.17487/rfc8000.

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Hastings, N., and R. Nielsen. Memorandum for Multi-Domain Public Key Infrastructure Interoperability. Edited by M. Shimaoka. RFC Editor, July 2008. http://dx.doi.org/10.17487/rfc5217.

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Scovazzi, Guglielmo. Advanced Methods for Immersed Domain Multi-physics Computations. Office of Scientific and Technical Information (OSTI), March 2020. http://dx.doi.org/10.2172/1605911.

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Borja, L. Annotated Bibliography - CHINA AND MULTI-DOMAIN STRATEGIC STABILITY. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1822594.

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Calyam, Prasad. Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1156687.

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Vokkarane, Vinod. Coordinated Multi-layer Multi-domain Optical Network (COMMON) for Large-Scale Science Applications (COMMON). Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1140151.

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Costa, Bruno, and Wai S. Don. Multi-Domain Hybrid Spectral-WENO Methods for Hyperbolic Conservation Laws. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada458975.

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You might also be interested in the extended bibliographies on the topic 'Multi-domain' for particular source types:
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