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A Comprehensive Survey on Deep Learning in Abdominal Imaging: Datasets, Techniques, and Performance Metrics

open access: yesIEEE Access
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
doaj   +1 more source

Information Retrieval - From Information Access to Contextual Retrieval

open access: yes, 2020
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 ...
openaire   +2 more sources

The Effect of Training Data Size on Disaster Classification from Twitter

open access: yesInformation
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
doaj   +1 more source

An ECC with error detection and against side channel attacks for resource constrained devices

open access: yesJournal of King Saud University: Computer and Information Sciences
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  

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