The role of USAF research and development in information retrieval and machine translation [PDF]
Robert F. Samson
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Integrating Deep Learning (DL) into abdominal imaging represents a significant leap forward in diagnosing and managing abdominal conditions, offering the potential to transform conventional medical practices.
Mariem Bellal+3 more
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On Relevance, Probabilistic Indexing and Information Retrieval [PDF]
M. E. Maron, J. L. Kuhns
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Information Retrieval - From Information Access to Contextual Retrieval
Information Retrieval (IR) deals with uncertainty and vagueness in in-formation systems. Uncertainty is caused by the problem of representing the semantics of text and other media, which cannot be done in a perfect way. On the other hands, information needs to be answered by IR systems are often vague and cannot be specified precisely, thus leading to ...
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The Effect of Training Data Size on Disaster Classification from Twitter
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler models is
Dimitrios Effrosynidis+2 more
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Dynamic storage allocation for an information retrieval system [PDF]
Burnett H. Sams
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Automation and Information Retrieval in Archives—the Broad Concepts [PDF]
R. D. Campbell
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An ECC with error detection and against side channel attacks for resource constrained devices
As more devices are integrated into the Internet of Things (IoT) ecosystem, accurate and efficient information transmission between resource-constrained equipment has become particularly important.
Jun Ye, Zewen Yang
doaj
A Modified Method of Latent Class Analysis for File Organization in Information Retrieval [PDF]
William K. Winters
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Information Retrieval: PEEKABIT, computer offspring of punched card PEEKABOO, for natural language searching [PDF]
Fred C. Hutton
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