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Relevant bibliographies by topics / Retrieval

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Academic literature on the topic 'Retrieval'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Retrieval"

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Renno, Anas, Faisal Khateeb, Viviane Kazan, et al. "A single center experience with retrievable IVC filters." Vascular 23, no. 4 (2014): 350–57. http://dx.doi.org/10.1177/1708538114546713.

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Objective To evaluate retrievable IVC filters in our institution and assess their retrieval following a well-structured follow up program. Design Retrospective cohort study. Materials The medical records of patients implanted with retrievable IVC filters were reviewed. Methods All retrievable filter insertions between July 2007 and August 2011 at our institution were reviewed. Data was analyzed for age, gender, indication, complications, retrieval rate, and brand of filter inserted. Statistical analysis was done using SPSS software v19. Chi-square was used to compare discrete data and t-test f

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Rubin, Ohad, and Jonathan Berant. "Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval." Transactions of the Association for Computational Linguistics 12 (2024): 1197–213. http://dx.doi.org/10.1162/tacl_a_00693.

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Abstract Retrieval-augmented language models (LMs) have received much attention recently. However, typically the retriever is not trained jointly as a native component of the LM, but added post-hoc to an already-pretrained LM, which limits the ability of the LM and the retriever to adapt to one another. In this work, we propose the Retrieval-Pretrained Transformer (RPT), an architecture and training procedure for jointly training a retrieval-augmented LM from scratch and applying it to the task of modeling long texts. Given a recently generated text chunk in a long document, the LM computes qu

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Jalali, Ali, Shannon Hicks-Jalali, Robert J. Sica, Alexander Haefele, and Thomas von Clarmann. "A practical information-centered technique to remove a priori information from lidar optimal-estimation-method retrievals." Atmospheric Measurement Techniques 12, no. 7 (2019): 3943–61. http://dx.doi.org/10.5194/amt-12-3943-2019.

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Abstract. Lidar retrievals of atmospheric temperature and water vapor mixing ratio profiles using the optimal estimation method (OEM) typically use a retrieval grid with a number of points larger than the number of pieces of independent information obtainable from the measurements. Consequently, retrieved geophysical quantities contain some information from their respective a priori values or profiles, which can affect the results in the higher altitudes of the temperature and water vapor profiles due to decreasing signal-to-noise ratios. The extent of this influence can be estimated using the

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Ramesh, K., A. P. Kesarkar, J. Bhate, M. Venkat Ratnam, and A. Jayaraman. "Adaptive neuro fuzzy inference system for profiling of the atmosphere." Atmospheric Measurement Techniques Discussions 7, no. 3 (2014): 2715–36. http://dx.doi.org/10.5194/amtd-7-2715-2014.

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Abstract. Retrieval of accurate profiles of temperature and water vapor is important for the study of atmospheric convection. However, it is challenging because of the uncertainties associated with direct measurement of atmospheric parameters during convection events using radiosonde and retrieval of remote-sensed observations from satellites. Recent developments in computational techniques motivated the use of adaptive techniques in the retrieval algorithms. In this work, we have used the Adaptive Neuro Fuzzy Inference System (ANFIS) to retrieve profiles of temperature and humidity over tropi

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Zhou, Minqiang, Bavo Langerock, Mahesh Kumar Sha, et al. "Retrieval of atmospheric CH<sub>4</sub> vertical information from ground-based FTS near-infrared spectra." Atmospheric Measurement Techniques 12, no. 11 (2019): 6125–41. http://dx.doi.org/10.5194/amt-12-6125-2019.

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Abstract. The Total Carbon Column Observing Network (TCCON) column-averaged dry air mole fraction of CH4 (XCH4) measurements have been widely used to validate satellite observations and to estimate model simulations. The GGG2014 code is the standard TCCON retrieval software used in performing a profile scaling retrieval. In order to obtain several vertical pieces of information in addition to the total column, in this study, the SFIT4 retrieval code is applied to retrieve the CH4 mole fraction vertical profile from the Fourier transform spectrometer (FTS) spectrum at six sites (Ny-Ålesund, Sod

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Lipponen, Antti, Tero Mielonen, Mikko R. A. Pitkänen, et al. "Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land." Atmospheric Measurement Techniques 11, no. 3 (2018): 1529–47. http://dx.doi.org/10.5194/amt-11-1529-2018.

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Abstract. We have developed a Bayesian aerosol retrieval (BAR) algorithm for the retrieval of aerosol optical depth (AOD) over land from the Moderate Resolution Imaging Spectroradiometer (MODIS). In the BAR algorithm, we simultaneously retrieve all dark land pixels in a granule, utilize spatial correlation models for the unknown aerosol parameters, use a statistical prior model for the surface reflectance, and take into account the uncertainties due to fixed aerosol models. The retrieved parameters are total AOD at 0.55 µm, fine-mode fraction (FMF), and surface reflectances at four different w

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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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Long, Xinwei, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, and Bowen Zhou. "Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 23 (2025): 24723–31. https://doi.org/10.1609/aaai.v39i23.34653.

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Retrieval-augmented generation (RAG) has emerged to address the knowledge-intensive visual question answering (VQA) task. Current methods mainly employ separate retrieval and generation modules to acquire external knowledge and generate answers, respectively. We propose ReAuSE, an alternative to the previous RAG model for the knowledge-based VQA task, which seamlessly integrates knowledge retriever into the generative multi-modal large language model, serving as a built-in search engine. Specifically, our model functions both as a generative retriever and an accurate answer generator. It not o

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Torabian, Saba, Zhe Chen, Beth A. Ober, and Gregory K. Shenaut. "Analogical Retrieval of Folktales: A Cross-Cultural Approach." Journal of Cognition and Culture 17, no. 3-4 (2017): 281–305. http://dx.doi.org/10.1163/15685373-12340008.

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Abstract This cross-cultural study addressed how individuals retrieve and transfer naturally learned information (i.e., folktales) from long-term memory by analogy with a previously unencountered story, concept, or problem. American and Iranian participants read target stories constructed to be analogous to folktales either familiar or unfamiliar to their culture, all having high structural familiarity and either high or low surface similarity to the source folktales. Participants reported whether targets (analogues) reminded them of any specific folktale they had learned in the past; positive

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Garrett, T. J., and C. Zhao. "Ground-based remote sensing of thin clouds in the Arctic." Atmospheric Measurement Techniques Discussions 5, no. 6 (2012): 8653–99. http://dx.doi.org/10.5194/amtd-5-8653-2012.

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Abstract. This paper describes a method for using interferometer measurements of downwelling thermal radiation to retrieve the properties of single-layer clouds. Cloud phase is determined from ratios of thermal emission in three "micro-windows" where absorption by water vapor is particularly small. Cloud microphysical and optical properties are retrieved from thermal emission in two micro-windows, constrained by the transmission through clouds of stratospheric ozone emission. Assuming a cloud does not approximate a blackbody, the estimated 95% confidence retrieval errors in effective radius, v

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Dissertations / Theses on the topic "Retrieval"

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Bartow, Paul J. "Information retrieval /." Online version of thesis, 1991. http://hdl.handle.net/1850/12169.

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Mohan, Kondrahalli Chowdappa. "Choice of retrieval techniques for a multi-strategy retrieval system." Thesis, University of Sheffield, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287488.

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Åkesson, Mattias. "Passage Retrieval : en litteraturstudie av ett forskningsområde inom information retrieval." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18347.

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The aim of this thesis is to describe passage retrieval (PR), with basis in results from various empirical experiments, and to critically investigate different approaches in PR. The main questions to be answered in the thesis are: (1) What characterizes PR? (2) What approaches have been proposed? (3) How well do the approaches work in experimental information retrieval (IR)? PR is a research topic in information retrieval, which instead of retrieving the fulltext of documents, that can lead to information overload for the user, tries to retrieve the most relevant passages in the documents. Thi

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Lui, Chang. "Synatic Information Retrieval." Thesis, University of Ulster, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516287.

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Dunlop, Mark David. "Multimedia information retrieval." Thesis, University of Glasgow, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358626.

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Tian, Lei Ph D. Massachusetts Institute of Technology. "Compressive phase retrieval." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81756.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 129-138).<br>Recovering a full description of a wave from limited intensity measurements remains a central problem in optics. Optical waves oscillate too fast for detectors to measure anything but time{averaged intensities. This is unfortunate since the

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Keim, Michelle. "Bayesian information retrieval /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/8937.

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Peterson, Daniel J. Mulligan Neil W. "Enactment and retrieval." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2191.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Jun. 26, 2009). "... in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Psychology." Discipline: Psychology; Department/School: Psychology.

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Brucato, Matteo. "Temporal Information Retrieval." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5690/.

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Wang, Xiaozhen. "LITE aerosol retrievals with improved calibration and retrieval approaches in support of CALIPSO." Diss., The University of Arizona, 2005. http://hdl.handle.net/10150/280757.

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Two of the biggest uncertainties in understanding and predicting climate change are the effects of aerosols and clouds. NASA's satellite mission, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations, will provide vertical, curtain-like images of the atmosphere on a global scale and assist scientists in better determining how aerosols and clouds affect the Earth's radiation budget. The data from a previous space shuttle mission, LITE (Lidar In-space Technology Experiment, launched in Sept., 1994), have been employed to develop algorithms (e.g., spaceborne lidar system cal

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Books on the topic "Retrieval"

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Lin, Hongfei, Min Zhang, and Liang Pang, eds. Information Retrieval. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88189-4.

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Lalmas, Mounia. XML Retrieval. Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02263-0.

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Grossman, David A., and Ophir Frieder. Information Retrieval. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-3005-5.

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Fuhr, Norbert, ed. Information Retrieval. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8.

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Zhang, Shichao, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, and Chenliang Li, eds. Information Retrieval. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01012-6.

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Wen, Jirong, Jianyun Nie, Tong Ruan, Yiqun Liu, and Tieyun Qian, eds. Information Retrieval. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68699-8.

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Gker, Aye, and John Davies, eds. Information Retrieval. John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470033647.

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Braslavski, Pavel, Ilya Markov, Panos Pardalos, et al., eds. Information Retrieval. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41718-9.

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Blanken, Henk M., Henk Ernst Blok, Ling Feng, and Arjen P. de Vries, eds. Multimedia Retrieval. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72895-5.

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Dou, Zhicheng, Qiguang Miao, Wei Lu, Jiaxin Mao, and Guang Jia, eds. Information Retrieval. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56725-5.

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Book chapters on the topic "Retrieval"

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Parente, Rick. "Retrieval, Retrieval Techniques." In Encyclopedia of Clinical Neuropsychology. Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1150.

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Bugaje, Maryam, and Gobinda Chowdhury. "Data Retrieval = Text Retrieval?" In Transforming Digital Worlds. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78105-1_29.

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Richter, Michael M., and Rosina O. Weber. "Retrieval." In Case-Based Reasoning. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40167-1_8.

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Hersh, William R. "Retrieval." In Information Retrieval: A Health Care Perspective. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2529-2_6.

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Floresco, Stan, Robert Kessler, Ronald L. Cowan, et al. "Retrieval." In Encyclopedia of Psychopharmacology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1647.

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Hersh, William. "Retrieval." In Health Informatics. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-78703-9_5.

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Hersh, William. "Retrieval." In Health Informatics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47686-1_5.

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Haiyan, Geng. "Retrieval." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_1011-1.

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Weik, Martin H. "retrieval." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_16300.

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Haiyan, Geng. "Retrieval." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7874-4_1011.

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Conference papers on the topic "Retrieval"

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Shen, Tao, Guodong Long, Xiubo Geng, et al. "Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.943.

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Cheng, Qinyuan, Xiaonan Li, Shimin Li, et al. "Unified Active Retrieval for Retrieval Augmented Generation." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.999.

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Sun, Dong, Wenya Guo, Xumeng Liu, Ying Zhang, Zhaoxiang Hou, and Zengxiang Li. "Zero-shot Document Retrieval with Hybrid Pseudo-document Retriever." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889897.

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Ye, Fuda, Shuangyin Li, Yongqi Zhang, and Lei Chen. "R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.678.

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Li, Wenyan, Jiaang Li, Rita Ramos, Raphael Tang, and Desmond Elliott. "Understanding Retrieval Robustness for Retrieval-augmented Image Captioning." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.503.

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Liu, X., H. Nakajima, I. Murata, et al. "Retrieval of vertical profiles of ozone by high-resolution FTIR spectra over Rikubetsu, Japan." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1997. http://dx.doi.org/10.1364/orsa.1997.ofa.4.

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Vertical profiles of volume mixing ratios (VMRs) of ozone were retrieved from high resolution, infrared solar absorption spectra taken at Rikubetsu (43.5 °N, 143.8 °E), Japan by a ground-based Fourier-transform infrared spectrometer (FTIR). The VMR profile retrieval is based on an iterative inversion algorithm, which utilizes a multilayer line-by-line calculations. In total, 96 ozone vertical profiles were retrieved from 48 infrared spectra by using two O3 absorption lines near 10 micron spectral region. These profiles were compared with 21 ozonesonde measurements from nearby ozone sounding st

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Ahmed Hasan, Soran, and Gullanar M Hadi. "Review about SIFT and Local Feature Extraction in Content Based Image Retrieval." In 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE (CIC-COCOS'24). Cihan University-Erbil, 2024. http://dx.doi.org/10.24086/cocos2024/paper.1533.

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As internet technology expands and the widespread use of digital devices, Content Based Image Retrieval CBIR has seen rapid development and application across a range of areas in computer vision and artificial intelligence Today, it's possible to retrieve related images efficiently and effectively from large scale databases using just an input image, In the last decade, there has been a significant push towards developing new CBIR theories and models, resulting in the establishment of many effective CBIR algorithms. CBIR is a crucial tool for locating images within a large dataset that share s

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Ball, Liezl, and Theo Bothma. "The capability of search tools to retrieve words with specific properties from large text collections." In ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2030.

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Introduction. With the increase in the availability of digital text collections for humanities researchers, tools to enable enhanced retrieval are required. If words with very specific properties could be retrieved from a text collection more accurate linguistic and other analyses can be made. There are a range of properties and metadata that could be specified for retrieval, from morphological data up to bibliographic data. Furthermore, the bibliographic data should not only be on item level but extended to the text-level. For example, in an anthology each section could be encoded with the au

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Yim, Sungshik, and David Rosen. "Case-Based Retrieval Approach of Supporting Process Planning in Layer-Based Additive Manufacturing." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35309.

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The process planning task for a given design problem in additive manufacturing can be greatly enhanced by referencing previously developed process plans. In this research, a case-based retrieval method, called the DFM (Design For Manufacturing) framework, that retrieves previously formulated process plans is proposed to support process planning. To support the DFM Framework, we have developed an information model (ontology) of manufacturing process knowledge in the domain of additive manufacturing processes, including design requirements, process plans, and rules that map requirements to plans

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Gordley, Larry L., Benjamin T. Marshall, and Lance E. Deaver. "An Interleave Retrieval Method for Oversampled Limb Scans." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.tuc3.

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Rodgers1 presents a general approach for error analysis of retrievals based on a linearization of the retrieval problem. This approach allows calculation of retrieval error from uncertainties in the input radiances and in each of the forward radiance model parameters. These terms are weighted according to the sensitivity of the retrieval to each of them. We use this framework to describe the results of an error analysis performed on HALOE2 data. This paper will show the effect of using oversampled profile data and an interleave retrieval technique by application of formal error analysis.

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Reports on the topic "Retrieval"

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Fellinger, Andrew P., Michael W. Rinker, Eric J. Berglin, et al. EM-21 Retrieval Knowledge Center: Waste Retrieval Challenges. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/962842.

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J. Steinhoff. RETRIEVAL EQUIPMENT DESCRIPTIONS. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/884969.

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Jha, Somesh, Vitaly Shmatikov, and Matthew Fredrikson. Private Information Retrieval. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada536856.

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T. Wilson. RETRIEVAL EVENTS EVALUATION. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/861907.

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DAYLEY, L. WASTE RETRIEVAL PROCESS DESCRIPTION. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/822662.

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Croft, W. B. Retrieval Using Plausible Inference. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada274252.

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Li, Xiaochun, and Shuaib U. Arshad. Techniques for Associative Retrieval. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387475.

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Wade, Courtney, and James Allan. Passage Retrieval and Evaluation. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada477634.

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Wentz, Frank. Aquarius Salinity Retrieval Algorithm. Remote Sensing Systems, 2011. http://dx.doi.org/10.56236/rss-aq.

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Manmatha, R. Multimedia Indexing and Retrieval Research at the Center for Intelligent Information Retrieval. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440234.

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