Relevant bibliographies by topics / Multi Expert

Contents

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

Academic literature on the topic 'Multi Expert'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Multi Expert"

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Yang, Lin, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, and Don Towsley. "Hierarchical Learning Algorithms for Multi-scale Expert Problems." Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, no. 2 (2022): 1–29. http://dx.doi.org/10.1145/3530900.

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In this paper, we study the multi-scale expert problem, where the rewards of different experts vary in different reward ranges. The performance of existing algorithms for the multi-scale expert problem degrades linearly proportional to the maximum reward range of any expert or the best expert and does not capture the non-uniform heterogeneity in the reward ranges among experts. In this work, we propose learning algorithms that construct a hierarchical tree structure based on the heterogeneity of the reward range of experts and then determine differentiated learning rates based on the reward up
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Lee, Yunsung, JinYoung Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, and Seungtaek Choi. "Multi-Architecture Multi-Expert Diffusion Models." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 12 (2024): 13427–36. http://dx.doi.org/10.1609/aaai.v38i12.29245.

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In this paper, we address the performance degradation of efficient diffusion models by introducing Multi-architecturE Multi-Expert diffusion models (MEME). We identify the need for tailored operations at different time-steps in diffusion processes and leverage this insight to create compact yet high-performing models. MEME assigns distinct architectures to different time-step intervals, balancing convolution and self-attention operations based on observed frequency characteristics. We also introduce a soft interval assignment strategy for comprehensive training. Empirically, MEME operates 3.3
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Yang, Lin, Yu-zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, and Don Towsley. "Hierarchical Learning Algorithms for Multi-scale Expert Problems." ACM SIGMETRICS Performance Evaluation Review 50, no. 1 (2022): 71–72. http://dx.doi.org/10.1145/3547353.3530967.

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In this work,1 we study the multi-scale expert problem, where the rewards of different experts vary in different reward ranges. The performance of existing algorithms for the multi-scale expert problem degrades linearly proportional to the maximum reward range of any expert or the best expert and does not capture the non-uniform heterogeneity in the reward ranges among experts. In this work, we propose learning algorithms that construct a hierarchical tree structure based on the heterogeneity of the reward range of experts and then determine differentiated learning rates based on the reward up
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Wibowo Almais, Agung Teguh, Moechammad Sarosa, and Muhammad Aziz Muslim. "Implementation Of Multi Experts Multi Criteria Decision Making For Rehabilitation And Reconstruction Action After A Disaster." MATICS 8, no. 1 (2016): 27. http://dx.doi.org/10.18860/mat.v8i1.3480.

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<p class="Abstract" style="text-align: justify;"><em>Abstract</em>— This article is aimed to propose a method which used Non-Numeric assessment that is Multi Experts Multi Criteria Decision Making (MEMCDM) in order to construct supporting decision system in composing rehabilitation and reconstruction action after disaster. Because in all this time “Perencanaan dan Pengendalian Penanganan Bencana (P3B)” surveyor team does not have clear standard criteria to execute the compiling rehabilitation and reconstruction action after disaster. Method Multi Experts Multi Criteria Decisi
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Poo, Chiang-Choon Danny, and Hongjun Lu. "Multi-domain expert systems." Expert Systems 8, no. 2 (1991): 67–73. http://dx.doi.org/10.1111/j.1468-0394.1991.tb00254.x.

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Yang, Chuanyu, Kai Yuan, Qiuguo Zhu, Wanming Yu, and Zhibin Li. "Multi-expert learning of adaptive legged locomotion." Science Robotics 5, no. 49 (2020): eabb2174. http://dx.doi.org/10.1126/scirobotics.abb2174.

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Achieving versatile robot locomotion requires motor skills that can adapt to previously unseen situations. We propose a multi-expert learning architecture (MELA) that learns to generate adaptive skills from a group of representative expert skills. During training, MELA is first initialized by a distinct set of pretrained experts, each in a separate deep neural network (DNN). Then, by learning the combination of these DNNs using a gating neural network (GNN), MELA can acquire more specialized experts and transitional skills across various locomotion modes. During runtime, MELA constantly blends
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Li, Ming. "An Approach to Expert Finding Based on Multi-Granularity Two-Tuple Linguistic Information." Applied Mechanics and Materials 58-60 (June 2011): 1317–22. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1317.

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Since organizational tacit knowledge resides in the owner’s brain, finding relevant experts in the specific fields is crucial to utilize this type of knowledge. In this paper, an approach to expert finding is proposed to assist the user to find the required experts. The method adopts the multi-granularity two-tuple linguistic information to construct the expert profile, that is, to model expert’s expertise. The user query the expert based on the fuzzy linguistic information. Then, the relevant experts are ranked according to the matching degree between the expert profile and the query. Finally
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Wen, Ta-Chun, Hsin-Hung Lai, and Kuei-Hu Chang. "A New Flexible Method for Solving Multi-Expert Multi-Criterion Decision-Making Problems." Applied Sciences 10, no. 13 (2020): 4582. http://dx.doi.org/10.3390/app10134582.

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Multi-expert multi-criterion decision-making problems are complicated decision issues. Different experts have different opinions with regard to multi-criterion decision-making problems, depending on their background and experience. These experts provide information that usually contains certain, uncertain, and incomplete information simultaneously. However, traditional computing methods only fully consider certain information, and ignore uncertain or incomplete information, which causes information distortion in assessment results. In order to effectively solve the above problems, this paper p
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Beroggi, G. E. G., and W. A. Waliace. "Multi-expert operational risk management." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 30, no. 1 (2000): 32–44. http://dx.doi.org/10.1109/5326.827452.

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Badr, A., Z. Binder, and H. E. Yassin. "Expert Multi-Model Control System." IFAC Proceedings Volumes 22, no. 6 (1989): 243–46. http://dx.doi.org/10.1016/s1474-6670(17)54379-7.

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Dissertations / Theses on the topic "Multi Expert"

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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
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Gleizes, Marie-Pierre. "Spécification d'une architecture de système multi-expert." Toulouse 3, 1987. http://www.theses.fr/1987TOU30256.

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Presentation d'un modele d'architecture permettant de supporter les differents types de connaissances qui interviennent au cours de la resolution de problemes interdisciplinaires. Les deux principales preocupations pour l'elaboration de ce modele ont ete la mise en oeuvre de la cooperation et la structuration des diverses connaissances qui interviennent afin d'avoir un systeme homogene, modulaire, simple pour la verification de la coherence et rapide au cours d'une resolution
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Gleizes, Marie-Pierre. "Spécification d'une architecture de système multi-expert." Grenoble 2 : ANRT, 1987. http://catalogue.bnf.fr/ark:/12148/cb376055030.

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Zhang, Jie. "Diagnostic multi-expert : extension de l'approche système expert organisé en réseau du système SUPER." Compiègne, 1991. http://www.theses.fr/1991COMPD405.

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Lorsque les systèmes experts abordent des domaines d'application très complexes, l'organisation d'un système expert sous forme d'une base de connaissances, d'une mémoire de travail et un mécanisme d'inférence, aussi puissant soient-ils, devient insuffisante. De telles applications font souvent intervenir une expertise hétérogène provenant de plusieurs experts dans différents domaines. Les techniques d'Intelligence Artificielle Distribuée comme celles des systèmes multi-experts, sont nées de la nécessité de développer ces applications. Dans ce mémoire, nous présentons un outil basé sur le génér
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Tan, Yong Chai. "Multi expert concurrent engineering system to assist a designer." Thesis, University of Portsmouth, 2007. https://researchportal.port.ac.uk/portal/en/theses/multi-expert-concurrent-engineering-system-to-assist-a-designer(85cad085-5cc1-4f6d-8859-21b074704aa7).html.

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This dissertation describes a new Concurrent Engineering system with distributed intelligence to demonstrate the use of a Virtual Round Table to assist a designer in the early design stages of a spot welding application. This Computer Aided Process Planning system is called a Multi Expert System. The first system consisted of four expert systems: Computer Aided Design Expert, Material Expert, Spot Welding Expert and Production Expert. A limitation of existing systems was that they were designed to model the product and process design as a whole, which made the system inflexible for expansion w
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Abdalla, Hassan Hamed. "An intelligent multi-controller structure : a knowledge-based approach." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387245.

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Cayuela, Rafols Marc. "Algorithmic Study on Prediction with Expert Advice : Study of 3 novel paradigms with Grouped Experts." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254344.

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The main work for this thesis has been a thorough study of the novel Prediction with Partially Monitored Grouped Expert Advice and Side Information paradigm. This is newly proposed in this thesis, and it extends the widely studied Prediction with Expert Advice paradigm. The extension is based on two assumptions and one restriction that modify the original problem. The first assumption, Grouped, presumes that the experts are structured into groups. The second assumption, Side Information, introduces additional information that can be used to timely relate predictions with groups. Finally, the r
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Hung, Chang-Yu. "Material Cutting Plan Generation Using Multi-Expert and Evolutionary Approaches." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/28256.

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Firms specializing in the construction of large commercial buildings and factories must often design and build steel structural components as a part of each project. Such firms must purchase large steel plates, cut them into pieces and then weld the pieces into H-beams and other construction components. The details of the order and the production operation are specified in the "cutting plan." This dissertation focuses on solving this "cutting plan generation" problem with the goal of minimizing cost. Two solution approaches are proposed in this dissertation: a multi-expert system and an evolut
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Ince, Levent. "The role of expert systems in federated distributed multi-database systems/." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA377679.

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TARAVAT, NAJAFABADI ALIREZA. "Multi-sensor remote sensing expert systems for detecting anthropogenic hydrocarbon pollution." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2013. http://hdl.handle.net/2108/214301.

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Books on the topic "Multi Expert"

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Nedjah, Nadia. Multi-Objective Swarm Intelligent Systems: Theory & Experiences. Springer-Verlag Berlin Heidelberg, 2010.

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Botti, Vicente. ANEMONA: A multi-agent methodology for holonic manufacturing systems. Springer, 2008.

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1958-, De Wilde Philippe, ed. Convergence and knowledge processing in multi-agent systems. Springer, 2009.

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Bachinsky, Victor, Oleh Ya Vanchulyak, Alexander G. Ushenko, et al. Multi-parameter Mueller Matrix Microscopy for the Expert Assessment of Acute Myocardium Ischemia. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1450-7.

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Carreira, Paulo. Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems. Springer Nature, 2020.

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Mařík, Vladimír. Holonic and multi-agent systems for manufacturing: Proceedings. Springer, 2003.

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Waltham, Mass ). International Conference on Integration of Knowledge Intensive Multi-Agent Systems (2007. 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems: 30 April-3 May 2007, Waltham, MA. IEEE, 2007.

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Keisoku Jidō Seigyo Gakkai (Japan). Gakujutsu Kōenkai. SICE '89: Proceedings of the 28th SICE annual conference, Matsuyama Multi-purpose Community Center, July 25-27, l989. IEEE, 1989.

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International Conference on Integration of Knowledge Intensive Multi-Agent Systems (2005 Waltham, Mass.). 2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems: KIMAS '05 : modeling, exploration, and engineering : 18-21 April 2005, Westin Hotel, Waltham, MA. Edited by Thompson Craig, Hexmoor Henry 1960-, IEEE Boston Section, IEEE Systems, Man, and Cybernetics Society., and IEEE Xplore (Online service). Institute of Electrical and Electronic Engineers, 2005.

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1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics, and Cybernetics (7th : 1994 : Baden-Baden, Germany), eds. Advances in database and expert systems: Federated and replicated databases, spatio-temporal databases, multi database systems, database design methodologies, complex object modeling, knowledge and knowledge-based systems, computer-based decison [sic] support systems, expert systems in a distributed database environment, formal models of legal reasoning, legal databases and legal expert systems. International Institute for Advanced Studies in Systems Research and Cybernetics, 1995.

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Book chapters on the topic "Multi Expert"

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Rutkowska, Danuta. "Multi-expert Systems." In Parallel Processing and Applied Mathematics. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24669-5_85.

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David, B. T. "Multi-Expert Systems for CAD." In Intelligent CAD Systems I. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-72945-4_4.

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Petrovsky, Alexey B. "Multi-method Technology for Multi-attribute Expert Evaluation." In Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33816-3_20.

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Vachev, B., P. Tsvetanov, P. Yordanov, and M. Ruicheva. "Procedure for Multi-Criterial Multi-Expert Decision-Making." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-22160-0_29.

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Guida, Giovanni, and Marina Zanella. "Knowledge-Based Design Using the Multi-Modeling Approach." In Second Generation Expert Systems. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77927-5_10.

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Jowda, Fouad, and Muntasir Al-Asfoor. "A Survey on Cloud Resources Allocation Using Multi-agent System." In Expert Clouds and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2126-0_13.

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Gali, Sowmya, and N. Venkatram. "Cluster-Based Multi-context Trust-Aware Routing for Internet of Things." In Expert Clouds and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2126-0_39.

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Rayman, R. A. "Expert Opinion and Economy with the Truth." In A Multi-Gear Strategy for Economic Recovery. Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137304520_20.

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Chu, Thanh-Quang, Alain Boucher, Alexis Drogoul, Duc-An Vo, Hong-Phuong Nguyen, and Jean-Daniel Zucker. "Interactive Learning of Expert Criteria for Rescue Simulations." In Intelligent Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89674-6_16.

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Zhang, Minjie, and Chenggi Zhang. "Methodologies of solution synthesis in distributed expert systems." In Multi-Agent Systems Methodologies and Applications. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0030087.

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Conference papers on the topic "Multi Expert"

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Yi, Ruolei, Zhenkun Jin, Kai Cui, Xinlei Zhou, and Jiaqi Ma. "Multi-View Tri-Alignment Multi-Expert for Multi-Domain Fake News Detection." In 2024 IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE, 2024. https://doi.org/10.1109/hpcc64274.2024.00168.

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S, Arjun, K. Devanand, and Mahesh A S. "A Multi-Expert Transformer Model for Click Fraud Detection." In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN). IEEE, 2025. https://doi.org/10.1109/icpcsn65854.2025.11035516.

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Ramani, Kasarapu, Malepati Sai Deepthi, N. Naveen, Chintala Jeevan Raju, and Kandati Krishna. "Multi-Language Medical Symptoms Analyzer and Hospital Locator Chatbot." In 2024 International Conference on Expert Clouds and Applications (ICOECA). IEEE, 2024. http://dx.doi.org/10.1109/icoeca62351.2024.00047.

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Ketineni, Sunilkumar, and Sheela J. "Extractive Multi-Document Summarization Using Transformer-Based Neural Networks." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763280.

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Ramos, Milton Pires, Emerson Cabrera Paraiso, and Luiz Augusto D. Correa. "Corrosion Control under a Multi-Agent Approach." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96384.

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Abstract The last years have shown the great importance of monitoring techniques applied to corrosion control in process industries. These techniques depend strongly on systems for data acquisition, data treatment/analysis and automatic control. This monitoring task can be improved by the application of modem computer based solutions as intelligent systems. This paper presents the foundation of Distributed Artificial Intelligence and Multi-Agent Systems applied to corrosion control as well as presents the researches and developments of a community of expert systems (agents) for corrosion contr
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Long, Yuxing, Xiaoqi Li, Wenzhe Cai, and Hao Dong. "Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611565.

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Khiabani, Arman Nikraftar, and Benoit Macq. "Deep Reinforcement Learning for the Expert Advice Multi-Armed Bandit." In IEEE EUROCON 2025 - 21st International Conference on Smart Technologies. IEEE, 2025. https://doi.org/10.1109/eurocon64445.2025.11073451.

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Kumar, Kundavaram Joseph Sujith, M. Roshni Thanka, E. Bijolin Edwin, Stewart Kirubakaran S, V. Ebenezer, and Priscilla Joy. "Multi-Model Supervised Machine Learning Techniques for Heart Stroke Prediction." In 2024 International Conference on Expert Clouds and Applications (ICOECA). IEEE, 2024. http://dx.doi.org/10.1109/icoeca62351.2024.00120.

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Palakonda, Vinay, Adharapurapu V. S. M. Ashok Kumar, Duggirala Akshay Wesly, Satti Hemanth Krishna Reddy, and Tatavarthy Santhi Sri. "A Study on Large Language Models in Multi Modal Learning." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763011.

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P, Shirley C., Berin Jeba Jingle I, Abisha M. B, Venkatesan R, Yashvanth Ram R. V, and Elakkiya Elango. "Deepfake Detection Using Multi-Modal Fusion Combined with Attention Mechanism." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763221.

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Reports on the topic "Multi Expert"

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Schneider, Carsten. Set-Theoretic Multi-Method Research: Combining QCA and Case Studies. Instats Inc., 2025. https://doi.org/10.61700/dtj1vhg0ykv1r1939.

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This three-day seminar provides comprehensive training in Set-Theoretic Multi-Method Research (SMMR), integrating Qualitative Comparative Analysis (QCA) with detailed case studies to enhance participants' methodological capabilities for drawing descriptive and causal inference. Led by Carsten Schneider, a leading expert in the field, the workshop covers theoretical foundations, practical applications, and the use of R software for performing SMMR, equipping researchers across the social sciences with impactful skills for nuanced data analysis.
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Ehiabhi, Jolly, and Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.

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Review question / Objective: A systematic review of Mental health diagnosis/prognoses of mental disorders using Machine Learning techniques with information from biometric signals. A review of the trend and status of these ML techniques in mental health diagnosis and an investigation of how these signals are used to help increase the efficiency of mental health disease diagnosis. Using Machine learning techniques to classify mental health diseases as against using only expert knowledge for diagnosis. Feature Extraction from signal gotten from biometric signals that help classify sleep disorder
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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The pur
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Yagci Sokat, Kezban. Understanding the Role of Transportation in Human Trafficking in California. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2108.

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Human trafficking, a form of modern slavery, is the recruitment, transport, and/or transfer of persons using force, fraud, or coercion to exploit them for acts of labor or sex. According to the International Labor Organization, human trafficking is the fastest growing organized crime with approximately $150 billion in annual profits and 40.3 million individuals trapped in slave-like conditions. While it is not compulsory to involve transportation for human trafficking, the transportation industry plays a critical role in combating human trafficking as traffickers often rely on the transportati
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Droubi, Sufyan, and Fernando Lannes Fernandes. https://discovery.dundee.ac.uk/en/publications/sustainable-citizen-decision-making-impact-of-the-cost-of-living-. University of Dundee, 2023. http://dx.doi.org/10.20933/100001298.

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The present report is the outcome of a research project commissioned by Zero Waste Scotland and carried out by the Just Transition Hub (JTH), University of Dundee, with the objective of understanding the ways in which the cost-of-living crisis has affected the attitudes and behaviours of individuals and communities towards a transition to a low-carbon economy in Scotland. We define the transition as encompassing both energy transition and the transition to a circular economy, so in this report the word “transition(s)” means both the referred transitions. We define the scope of “justice” to cov
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Blunk, L., M. Karir, and C. Labovitz. Multi-Threaded Routing Toolkit (MRT) Routing Information Export Format. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6396.

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Shah, Tavseef Mairaj, Olivia Riemer, Nadia El-Hage Scialabba, and Alexander Müller. The Agri-Food Systems Transformation Protocol: Mapping the Agents and Drivers of Transformation. TMG Research gGmbH, 2023. http://dx.doi.org/10.35435/1.2023.4.

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There is a broad consensus that agri-food systems need to be transformed to address the mounting global challenges including food and nutrition security, environmental degradation, and socioeconomic inequities. However, agreement is lacking on what is needed to drive this transformation. This report builds on a sustainability analysis of different proposed pathways and approaches to address transformative needs. It also serves as a study of the drivers and agents that support the implementation of these proposed pathways in different cases around the globe. We recommend the adoption of a multi
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Petrunoff, Nick, Amanda Dominello, Ally Hamer, Liz King, Nikki Woolley, and Sian Rudge. Strategies to increase shade in public playgrounds: A realist review. The Sax Institute, 2022. http://dx.doi.org/10.57022/ssdy7898.

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Australia has one of the highest skin cancer incidences globally. Quality shade, which is a well-designed and correctly positioned combination of natural and built shade, can reduce solar ultraviolet radiation exposure by up to 75%. Existing shade in playgrounds in NSW was benchmarked in 2020-2021; this demonstrated a clear need for improvements to be made. This realist review sought to find evidence of shade targets and other complex strategies to increase shade in playgrounds. Fifty-nine documents (31 peer reviewed and 28 grey literature) contributed data to address the evidence review quest
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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10

Petrie, C., and T. King. Multi-Threaded Routing Toolkit (MRT) Routing Information Export Format with BGP Additional Path Extensions. RFC Editor, 2017. http://dx.doi.org/10.17487/rfc8050.

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