Zobrazeno 1 - 10
of 343
pro vyhledávání: '"Computational and Artificial Intelligence"'
Publikováno v:
IEEE Access, Vol 11, Pp 124643-124659 (2023)
Localization of wireless capsule endoscope (WCE) while it travels through the Gastrointestinal (GI) tract is required to find the exact location of the intestinal lesions. In this paper, we propose a method of localizing the WCE in the small intestin
Externí odkaz:
https://doaj.org/article/ed80f3f7d59b4bb581faec51b5c80fc8
Publikováno v:
IEEE Access, Vol 11, Pp 38850-38863 (2023)
The muscular activities gathered by real-time myoelectric interfaces of surface electromyography (sEMG) can be used to develop myoelectric prosthetic hands for physically disabled people. However, the acquired myoelectric signals must be accurately c
Externí odkaz:
https://doaj.org/article/068d396bab3344b4b3be7d8b8f19b26f
Autor:
Andres Anaya-Isaza, Matha Zequera-Diaz
Publikováno v:
IEEE Access, Vol 10, Pp 59564-59591 (2022)
Diabetes mellitus (DM) is a metabolic disorder characterized by increased blood glucose. The pathology can manifest itself with different conditions, including neuropathy, the main consequence of diabetic disease. Statistics show worrying figures wor
Externí odkaz:
https://doaj.org/article/639c91f68c294d13bb683627db8ceeb4
Publikováno v:
IEEE Access, Vol 10, Pp 45347-45364 (2022)
An increasing number of embedded systems include dedicated neural hardware. To benefit from this specialized hardware, deep learning techniques to discover malware on embedded systems are needed. This effort evaluated candidate machine learning detec
Externí odkaz:
https://doaj.org/article/ff55821b668b468a973c8b500b21cd60
Publikováno v:
Robotics, Vol 12, Iss 4, p 114 (2023)
Visual Question Answering (VQA) models fail catastrophically on questions related to the reading of text-carrying images. However, TextVQA aims to answer questions by understanding the scene texts in an image–question context, such as the brand nam
Externí odkaz:
https://doaj.org/article/7d186ce23f2d4b57bdfa7605718c5654
Publikováno v:
IEEE Access, Vol 9, Pp 80405-80414 (2021)
Named entity recognition (NER) is the process of categorizing named entities in a given text that suffers from the lack of labeled corpora, which is a long-standing issue. Deep neural networks have been successfully applied to NER tasks. However, the
Externí odkaz:
https://doaj.org/article/e8d717ee868348189bc23c64f1ce15cb
Publikováno v:
IEEE Access, Vol 9, Pp 120567-120579 (2021)
Botnets are one of the online threats with the most significant presence, causing billionaire losses to global economies. Nowadays, the increasing number of devices connected to the Internet makes it necessary to analyze extensive network traffic dat
Externí odkaz:
https://doaj.org/article/e043b417c2234b7f820def7068a90851
Autor:
Dorien Herremans
Publikováno v:
IEEE Access, Vol 9, Pp 155826-155838 (2021)
A total of 34% of AI research and development projects fail or are abandoned, according to a recent survey by Rackspace Technology of 1,870 companies. In this perspective paper, a new STrategic ROadMap, aiSTROM, is presented that empowers managers to
Externí odkaz:
https://doaj.org/article/07350c284edd487b82b4f4e54d7da0f6
Publikováno v:
IEEE Access, Vol 9, Pp 161890-161897 (2021)
The most common index data structures used by whole genome aligners (WGA) are based on suffix trees (ST), suffix arrays, and FM-indexes. These data structures show good performance results as WGA works with sequences of letters over small alphabets;
Externí odkaz:
https://doaj.org/article/f609ac6e77f14e19beb8d21553e23efb
Autor:
Kate Ching-Ju Lin, Chen-Yang Li
Publikováno v:
IEEE Access, Vol 9, Pp 111879-111889 (2021)
Recent research has incorporated machine learning with software-defined networking to support intelligent traffic engineering. However, most frameworks only enable machine learning in remote controllers, which introduce significant signaling overhead
Externí odkaz:
https://doaj.org/article/1082ebf3886e442c9de6d23535054f9f