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Relevant bibliographies by topics / Retrieval systems

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Academic literature on the topic 'Retrieval systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Retrieval systems"

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Tokumi, Yuta, Junki Hakamata, and Masataka Tokumaru. "Development of a Nutritional Management System for a Healthy Eating Habits Support System." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 2 (2013): 324–34. http://dx.doi.org/10.20965/jaciii.2013.p0324.

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In this study, we propose a Nutritional Management System (NMS) that optimizes nutritional balance using a tabu search. Contemporary recipe retrieval systems generally retrieve a recipe either by using a keyword or by recommending a popular recipe. However, these recipe retrieval systems yield the same retrieval results for different users, and thus, the results do not necessarily reflect an individual user’s tastes. In addition, the search results delivered by many recipe retrieval systems do not always describe the nutritional details of the recipes. Therefore, we developed a Healthy Eating

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Crook, D. A., B. J. Adair, and L. J. Hetherington. "Low-cost device for retrieval of moorings deployed with underwater remote release systems." Marine and Freshwater Research 69, no. 3 (2018): 473. http://dx.doi.org/10.1071/mf17189.

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Underwater acoustic and timed-release systems are commonly deployed with sensors and other equipment for ecological and oceanographic research in aquatic environments. These systems allow equipment deployed at depth to be remotely released from their moorings for retrieval. However, a current limitation is that most systems do not incorporate mechanisms for retrieval of the mooring anchor and attachments (e.g. shackles, cable). Herein we provide a detailed description and evaluation of a ‘retrieval pod’ that can be attached directly to remotely released underwater devices to facilitate mooring

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Orscheschek, Franziska, Tilo Strobach, Torsten Schubert, and Timothy Rickard. "Two retrievals from a single cue: A bottleneck persists across episodic and semantic memory." Quarterly Journal of Experimental Psychology 72, no. 5 (2018): 1005–28. http://dx.doi.org/10.1177/1747021818776818.

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There is evidence in the literature that two retrievals from long-term memory cannot occur in parallel. To date, however, that work has explored only the case of two retrievals from newly acquired episodic memory. These studies demonstrated a retrieval bottleneck even after dual-retrieval practice. That retrieval bottleneck may be a global property of long-term memory retrieval, or it may apply only to the case of two retrievals from episodic memory. In the current experiments, we explored whether that apparent dual-retrieval bottleneck applies to the case of one retrieval from episodic memory

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Abubacker, K. A. Shaheer, J. Sutha, and K. A. Shahul Hameed. "A simple multi-feature based stereoscopic medical image retrieval system." Polish Journal of Medical Physics and Engineering 25, no. 2 (2019): 127–30. http://dx.doi.org/10.2478/pjmpe-2019-0017.

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Abstract This paper describes a method of retrieving stereoscopic medical images from the database that consists of feature extraction, similarity measure, and re-ranking of retrieved images. This method retrieves similar images of the query image from the database and re-ranks them according to the disparity map. The performance is evaluated using the metrics namely average retrieval precision (APR) and average retrieval rate (ARR). According to the performance outcomes, the multi-feature based image retrieval using Mahalanobis distance measure has produced better result compared to other dis

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Luo, Youmeng, Wei Li, Xiaoyu Ma, and Kaiqiang Zhang. "Image Retrieval Algorithm Based on Locality-Sensitive Hash Using Convolutional Neural Network and Attention Mechanism." Information 13, no. 10 (2022): 446. http://dx.doi.org/10.3390/info13100446.

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With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks(CNN) have been used in the field of image retrieval. However, many image retrieval systems based on CNN have a poor ability to express image features, resulting in a series of problems such as low retrieval accuracy and robustness. When the target image is retrieved from a large amount of image data, the vector dimension after image coding is high and the retrieval efficiency is

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Tseng, Chien-Hao, Chia-Chien Hsieh, Dah-Jing Jwo, Jyh-Horng Wu, Ruey-Kai Sheu, and Lun-Chi Chen. "Person Retrieval in Video Surveillance Using Deep Learning–Based Instance Segmentation." Journal of Sensors 2021 (August 21, 2021): 1–12. http://dx.doi.org/10.1155/2021/9566628.

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Video surveillance systems are deployed at many places such as airports, train stations, and malls for security and monitoring purposes. However, it is laborious to search for and retrieve persons in multicamera surveillance systems, especially with cluttered backgrounds and appearance variations among multiple cameras. To solve these problems, this paper proposes a person retrieval method that extracts the attributes of a masked image using an instance segmentation module for each object of interest. It uses attributes such as color and type of clothes to describe a person. The proposed perso

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Dr. V. Suma. "A Novel Information retrieval system for distributed cloud using Hybrid Deep Fuzzy Hashing Algorithm." September 2020 02, no. 03 (2020): 151–60. http://dx.doi.org/10.36548/jitdw.2020.3.003.

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The recent technology development fascinates the people towards information and its services. Managing the personal and pubic data is a perennial research topic among researchers. In particular retrieval of information gains more attention as it is important similar to data storing. Clustering based, similarity based, graph based information retrieval systems are evolved to reduce the issues in conventional information retrieval systems. Learning based information retrieval is the present trend and in particular deep neural network is widely adopted due to its retrieval performance. However, t

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Anandh, A., K. Mala, and R. Suresh Babu. "Combined global and local semantic feature–based image retrieval analysis with interactive feedback." Measurement and Control 53, no. 1-2 (2019): 3–17. http://dx.doi.org/10.1177/0020294018824122.

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Nowadays, user expects image retrieval systems using a large database as an active research area for the investigators. Generally, content-based image retrieval system retrieves the images based on the low-level features, high-level features, or the combination of both. Content-based image retrieval results can be improved by considering various features like directionality, contrast, coarseness, busyness, local binary pattern, and local tetra pattern with modified binary wavelet transform. In this research work, appropriate features are identified, applied and results are validated against ex

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Arunarani, Ar, and D. Manjula Perkinian. "Intelligent Techniques for Providing Effective Security to Cloud Databases." International Journal of Intelligent Information Technologies 14, no. 1 (2018): 1–16. http://dx.doi.org/10.4018/ijiit.2018010101.

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Cloud databases have been used in a spate of web-based applications in recent years owing to their capacity to store big data efficiently. In such a scenario, access control techniques implemented in relational databases are so modified as to suit cloud databases. The querying features of cloud databases are designed with facilities to retrieve encrypted data. The performance with respect to retrieval and security needs further improvements to ensure a secured retrieval process. In order to provide an efficient secured retrieval mechanism, a rule- and agent-based intelligent secured retrieval

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Mawhesaran, T. "Document Vectorization for Large-Scale Information Retrieval Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41430.

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The invention presents an entirely new paradigm of document-search framework to make the retrieval and access of specific information from several thousands of documents, especially PDF files, as simple and easy as possible. The document content and metadata are retrieved for search using a vector-based approach with state-of-the-art vectorization techniques and vector databases such as MilvusDB. Document content is prepared and vectorized using preprocessing methods such as stop word removal, tokenization, normalization, etc. The vector data are stored in the database and indexed by such tech

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Dissertations / Theses on the topic "Retrieval systems"

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Mills, Timothy J. "Content modelling in multimedia information retrieval systems : the Cobra retrieval system." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442405.

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Al-Maskari, Azzah. "Evaluation of interactive information retrieval systems." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538079.

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Zhang, Dengsheng 1963. "Image retrieval based on shape." Monash University, School of Computing and Information Technology, 2002. http://arrow.monash.edu.au/hdl/1959.1/8688.

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Romano, Nicholas C., Dmitri G. Roussinov, Jay F. Nunamaker, and Hsinchun Chen. "Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems." HICSS, 1999. http://hdl.handle.net/10150/105688.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress

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Xie, Jinsheng. "On the analysis of selected automated storage and retrieval systems." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/25020.

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Watkins, Alfred R. "Continuous media object modeling, storage, and retrieval." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/9184.

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Portabella, Arnús Marcos. "Wind Field Retrieval from Satellite Radar Systems." Doctoral thesis, Universitat de Barcelona, 2002. http://hdl.handle.net/10803/734.

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Wind observations are essential for determining the atmospheric flow. In particular, sea-surface wind observations are very useful for many meteorological and oceanographic applications. In this respect, most of the satellite remote-sensing radar systems can provide sea-surface wind information. This thesis reviews the current wind retrieval procedures for such systems, identifies the most significant unresolved problems, and proposes new methods to overcome such problems.<br/>In order to invert the geophysical model function (GMF), which relates the radar backscatter measurement with the wind

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Engström, Felix, and Eli Pleaner. "Learning Methods for Improving News Retrieval Systems." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187492.

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Content providers require an efficient and accurate way of retrieving relevant content with minimal human aid. News retrieval, for instance, often requires human intervention to recognize which text documents are news articles and which are not. The differences between a factual news article and an opinionated blog piece may be subtle, yet are critical for providing informative and relevant content to users. This thesis explores the problem of format classification: the task of classifying text documents based on the format in which they are written, such as a news article, blog entry or forum

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Liu, Chi-Cheng. "Implementation of parallel intelligent information retrieval systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq30509.pdf.

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Tang, Wai-hung, and 鄧偉雄. "An anonymity scheme for file retrieval systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40887972.

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Books on the topic "Retrieval systems"

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Gallery, Art Alive, ed. Retrieval systems. Art Alive Gallery, 2009.

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1953-, Willett Peter, ed. Document retrieval systems. Taylor Graham, 1988.

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Heikkila, Ralph C. Election signature retrieval systems. National Clearinghouse on Election Administration, Federal Election Commission, 1992.

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T, Meadow Charles, Boyce Bert R, and Kraft Donald H, eds. Text information retrieval systems. 3rd ed. Academic, 2007.

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R, Boyce Bert, and Kraft Donald H, eds. Text information retrieval systems. 2nd ed. Academic Press, 2000.

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Heikkila, Ralph C. Election signature retrieval systems. National Clearinghouse on Election Administration, Federal Election Commission, 1992.

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Kowalski, Gerald J., and Mark T. Maybury. Information Storage and Retrieval Systems. Springer US, 2002. http://dx.doi.org/10.1007/b116174.

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Ribeiro, Berthier de Araújo Neto, 1960-, ed. Modern information retrieval. ACM Press, 1999.

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J, Warner Amy, and Lancaster F. Wilfrid 1933-, eds. Information retrieval today. Information Resources Press, 1993.

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Frédéric, Precioso, Cord Matthieu, and SpringerLink (Online service), eds. Visual Indexing and Retrieval. Springer New York, 2012.

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Book chapters on the topic "Retrieval systems"

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Castells, Pablo, and Dietmar Jannach. "Recommender Systems." In Information Retrieval. ACM, 2024. https://doi.org/10.1145/3674127.3674131.

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Baeza-Yates, Ricardo, Leena Murgai, and Shiran Dudy. "Bias in Retrieval Systems." In Information Retrieval. ACM, 2024. https://doi.org/10.1145/3674127.3674138.

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Ferro, Nicola, and Maria Maistro. "Evaluation of IR Systems." In Information Retrieval. ACM, 2024. https://doi.org/10.1145/3674127.3674132.

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Hiemstra, Djoerd, and Wessel Kraaij. "Evaluation of Multimedia Retrieval Systems." In Multimedia Retrieval. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72895-5_13.

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Hersh, William R., William M. Detmer, and Mark E. Frisse. "Information-Retrieval Systems." In Medical Informatics. Springer New York, 2001. http://dx.doi.org/10.1007/978-0-387-21721-5_15.

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Lalmas, Mounia, and Andrew Trotman. "XML Retrieval." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_474-2.

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Balog, Krisztian. "Entity Retrieval." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80724-1.

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Amati, Giambattista. "Information Retrieval." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_915-2.

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Lalmas, Mounia, and Andrew Trotman. "XML Retrieval." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_474.

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Amati, Giambattista. "Information Retrieval." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_915.

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Conference papers on the topic "Retrieval systems"

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Ovalle, Daniel, Arpan Seth, John R. Kitchin, Carl D. Laird, and Ignacio E. Grossmann. "GRAPSE: Graph-Based Retrieval Augmentation for Process Systems Engineering." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.198790.

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Large Language Models have demonstrated potential in accelerating scientific discovery, but they face challenges when making inferences in rapidly evolving and niche domains like Process Systems Engineering (PSE). To address this, we propose a Graph-based Retrieval-Augmented Generation (RAG) pipeline specifically designed for PSE papers. Our pipeline includes custom document parsing, knowledge graph construction, and refinement to enhance retrieval accuracy. We evaluate the effectiveness of our approach using an automatically generated benchmark consisting entirely of PSE-related questions. Th

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Rani, Maneeha, Bhupesh Kumar Mishra, Dhavalkumar Thakker, and Mohammad Nouman Khan. "To Enhance Graph-Based Retrieval-Augmented Generation (RAG) with Robust Retrieval Techniques." In 2024 18th International Conference on Open Source Systems and Technologies (ICOSST). IEEE, 2024. https://doi.org/10.1109/icosst64562.2024.10871140.

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Song, Yiping, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, and Rui Yan. "An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/609.

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Human-computer conversation systems have attracted much attention in Natural Language Processing. Conversation systems can be roughly divided into two categories: retrieval-based and generation-based systems. Retrieval systems search a user-issued utterance (namely a query ) in a large conversational repository and return a reply that best matches the query. Generative approaches synthesize new replies. Both ways have certain advantages but suffer from their own disadvantages. We propose a novel ensemble of retrieval-based and generation-based conversation system. The retrieved candidates, in

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Liang, Yan, Wen Feng Lu, Ying Liu, and Soon Chong Johnson Lim. "Interactive Interface Design for Design Rationale Search and Retrieval." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28392.

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In the rapid product design and development, design rationale (DR) information is critical for designers to understand the design technology and for better knowledge reuse. The visualization of DR capture, search and retrieval systems is important in assisting designers to gain insights and benefits from the increasing DR repository, e.g. major design issues of an artifact and design alternatives to the issues. In literatures, we have observed that the current DR systems provide limited interactive guidance in helping designers to DR navigate and search. In our previous work, we have proposed

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Chan, Yi Meng, Richard T. Harvey, and Dan Smith. "Building systems to block pornography." In Challenge of Image Retrieval. BCS Learning & Development, 1999. http://dx.doi.org/10.14236/ewic/cir1999.8.

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Mulhem, P., and L. Nigay. "Interactive information retrieval systems." In the 19th annual international ACM SIGIR conference. ACM Press, 1996. http://dx.doi.org/10.1145/243199.243280.

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Oosterhuis, Harrie, Rolf Jagerman, Zhen Qin, and Xuanhui Wang. "Optimizing Compound Retrieval Systems." In SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2025. https://doi.org/10.1145/3726302.3730051.

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Zhang, Guoxian, and Devendra P. Garg. "Mobile Multi-Robot Control in Target Search and Retrieval." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2196.

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In this paper, the design of a controller is proposed for a multi-robot target search and retrieval system. Inspired by research in insect foraging and swarm robotics, we developed a transition mechanism for the multi-robot system. Environmental information and task performance obtained by the robot system are used to adjust individual robot’s parameters and guide environment exploration. The proposed control system is applicable in the solution of multi-target problem also where several robots may be needed to cooperate together to retrieve a large target. Simulations show that the task perfo

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Mi Hee, Yoon Yong Ik, and Kio Chung Kim. "Unified video retrieval system supporting similarity retrieval." In Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99. IEEE, 1999. http://dx.doi.org/10.1109/dexa.1999.795298.

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Morris, Elissa, and Daniel A. McAdams. "Bioinspired Origami: Case Studies Using a Keyword Search Algorithm." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22228.

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Abstract Numerous folding patterns, structures, and behaviors exist in nature that may provide design solutions to engineering problems. While applying biological solutions to engineering design is evidently valuable, the retrieval of useful design inspiration remains a primary challenge preventing the transfer of knowledge from biology to the engineering domain. In prior research, information retrieval techniques are employed to retrieve useful biological design solutions and a text-based search algorithm is developed to return passages where folding in nature is observed. The search algorith

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Reports on the topic "Retrieval systems"

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RIECK, C. A. Project W-211, initial tank retrieval systems, retrieval control system software configuration management plan. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/781535.

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Baylor, Robert. Automated information retrieval systems for legal research. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.648.

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Rieck, C. A. Engineer/constructor description of work for Tank 241-SY-102 retrieval system, project W-211, initial tank retrieval systems. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/483376.

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Bitz, D. A., D. L. Berry, and L. J. Jardine. Decision and systems analysis for underground storage tank waste retrieval systems and tank waste remediation system. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10196816.

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Berry, D. L., and L. J. Jardine. Decision and systems analysis for underground storage tank waste retrieval systems and tank waste remediation system. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10133252.

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RIECK, C. A. System Engineering Management and implementation plan for Project W-211, ''Initial tank retrieval systems''. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/781523.

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Huckfeldt, R. A. Preliminary fire hazards analysis for W-211, Initial Tank Retrieval Systems. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/34338.

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LEONARD, M. W., and G. A. HOFFERBER. Systems Engineering Implementation Plan for Single Shell Tanks (SST) Retrieval Projects. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/805455.

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VAN BEEK, J. E. System Engineering Management and Implementation Plan for Project W-211 Initial Tank Retrieval Systems (ITRS). Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/803633.

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VAN BEEK, J. E. Project Execution Plan for Project W-211 Initial Tank Retrieval Systems (ITRS). Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/798001.

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