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Publikováno v:
IEEE Access, Vol 12, Pp 93771-93780 (2024)
Polytropic working conditions are prioritized by most intelligent adaptive methods. But the privacy and the inaccessibility of the source data during the transfer learning process are not considered. Moreover, the attention weights for each time poin
Externí odkaz:
https://doaj.org/article/2528bcedc8ca450aa56451a492ac8181
Autor:
Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera, Taye Girma Debelee, Yitagesu Getachew Ejegu
Publikováno v:
IEEE Access, Vol 12, Pp 94055-94080 (2024)
An electrocardiogram (ECG) is a non-invasive and cost-effective method for diagnosing heart disease. However, physicians often face challenges in interpreting ECG. As a result, deep learning (DL) models have been proposed to assist with interpretatio
Externí odkaz:
https://doaj.org/article/f3bc2a87abbf408da2e60223e1d07c4c
Autor:
Aysha Naseer, Naif Al Mudawi, Maha Abdelhaq, Mohammed Alonazi, Abdulwahab Alazeb, Asaad Algarni, Ahmad Jalal
Publikováno v:
IEEE Access, Vol 12, Pp 84984-85000 (2024)
Object recognition along with classification are necessary for many applications, such as surveillance systems, car plate recognition, traffic monitoring, and face detection. Unlike existing approaches, ours incorporates a wide range of important fac
Externí odkaz:
https://doaj.org/article/c10d69b5fd934804a0766cf3485ea09a
Autor:
Amrutha Raj V, Malu G
Publikováno v:
IEEE Access, Vol 12, Pp 85709-85723 (2024)
Recognizing intricate hand gestures is challenging in various applications like human-computer interaction and e-learning. Accurate classification is crucial for preserving cultural practices and enabling intuitive interaction with machines. However,
Externí odkaz:
https://doaj.org/article/cb2923f962d1495c92fc88b635656c28
Publikováno v:
IEEE Access, Vol 12, Pp 85050-85060 (2024)
With the ongoing development of Indoor Location-Based Services, the location information of users in indoor environments has been a challenging issue in recent years. Due to the widespread use of WiFi networks, WiFi fingerprinting has become one of t
Externí odkaz:
https://doaj.org/article/c170f7d6996e44a1836db5513c5758ca
Publikováno v:
IEEE Access, Vol 12, Pp 85499-85510 (2024)
With the development of artificial intelligence technology, time series classification has attracted greater attention. Various methods have been considered for using deep learning models to perform the task. Training such models, however, requires a
Externí odkaz:
https://doaj.org/article/4e282769b9c049ceb5f343c740891cd9
Autor:
Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 505-513 (2024)
Magnetic Resonance imaging based Electrical Properties Tomography (MR-EPT) is a non-invasive technique that measures the electrical properties (EPs) of biological tissues. In this work, we present and numerically investigate the performance of an unr
Externí odkaz:
https://doaj.org/article/b2bccd4ee1b74e24a32c9dbc86bac947
Publikováno v:
IEEE Access, Vol 12, Pp 84567-84578 (2024)
Automatic and accurate classification of thyroid nodules is of great significance to doctors for clinical diagnosis and subsequent treatment recommendations. Since there are no obvious features between benign and malignant nodules, enlarging or reduc
Externí odkaz:
https://doaj.org/article/e203d037a22a47c3b40a133b5d127ec5
Autor:
Khan Abrar Shams, Md. Rafid Reaz, Mohammad Ryan Ur Rafi, Sanjida Islam, Md. Shahriar Rahman, Rafeed Rahman, Md. Tanzim Reza, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, Abdullah Alamri
Publikováno v:
IEEE Access, Vol 12, Pp 83638-83657 (2024)
Sign language is the predominant mode of communication for individuals with auditory impairment. In Bangladesh, BdSL or Bangla Sign Language is widely used among the hearing-impaired population. However, because of the general public’s limited awar
Externí odkaz:
https://doaj.org/article/f4e37d2fac354083b4ff0361e1e6b59a
Publikováno v:
IEEE Access, Vol 12, Pp 80491-80504 (2024)
This research introduces a novel approach called Circular Mesh Network (CirMNet), a shape-based hybrid feature extraction technique. It also proposes innovative Fractal Dimension (FD) and statistical feature extraction techniques for vertically symme
Externí odkaz:
https://doaj.org/article/3b13c10ad4fb49c38fb747511d8a55ee