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Publikováno v:
IEEE Access, Vol 12, Pp 87691-87700 (2024)
Identifying lung sound signal patterns is essential for detecting and monitoring respiratory diseases. Existing approaches for analyzing respiratory sounds need domain specialists. Therefore, an accurate and automated lung sound classification tool i
Externí odkaz:
https://doaj.org/article/773a39a95969487780343ad7833d62be
Publikováno v:
IEEE Access, Vol 12, Pp 88086-88110 (2024)
Bruxism is a sleep disorder which is manifested by unintentional grinding and clenching of teeth during sleep. An automated sleep bruxism recognition system using single channel EEG data is proposed in this paper which is based on Inverse Discrete Wa
Externí odkaz:
https://doaj.org/article/3a25052fd55f4d4ea132873c7b7af27b
Publikováno v:
IEEE Access, Vol 12, Pp 86043-86066 (2024)
This study explores the contemporary landscape of integrating numerical algorithms, artificial intelligence (AI), and expert methodologies within the domain of nephrology. Focusing on automation and decision support, we scrutinize the impact of numer
Externí odkaz:
https://doaj.org/article/ec0d1b5c69ed44c182abfc41b431cea4
Autor:
Muhammad Ishaq, Sana Zahir, Laila Iftikhar, Mohammad Farhad Bulbul, Seungmin Rho, Mi Young Lee
Publikováno v:
IEEE Access, Vol 12, Pp 88332-88344 (2024)
In order to predict and fill in the gaps in categorical datasets, this research looked into the use of machine learning algorithms. The emphasis was on ensemble models constructed using the Error Correction Output Codes (ECOC) framework, including mo
Externí odkaz:
https://doaj.org/article/370c2ef1e2d843169125f9e29e8ea3fa
Autor:
Saadia Jamil, Eid Rehman, Tariq Shahzad, Muhammad Ishtiaq, Tehseen Mazhar, Yazeed Yasin Ghadi, Arfan Ahmed
Publikováno v:
IEEE Access, Vol 12, Pp 85806-85821 (2024)
Clustering has proved to be a successful classification method when it comes to dealing with multiview data. Each method and technique tries to achieve efficiency and accuracy in classifying the multiview data. Multi-source data contains noise and di
Externí odkaz:
https://doaj.org/article/143ed55340954ec2be4bd4ef404785fb
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
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11503-11520 (2024)
The scattering properties of targets in polarimetric synthetic aperture radar (PolSAR) images are directly influenced by the targets' orientations, as the scattering properties from the same target with different orientations can be very different. T
Externí odkaz:
https://doaj.org/article/27602b699ee1403a98d18e1150fa1925
Publikováno v:
IEEE Access, Vol 12, Pp 79367-79382 (2024)
Phishing websites, mimicking legitimate counterparts, pose significant threats by stealing user information through deceptive Uniform Resource Locators (URLs). Traditional blacklists struggle to identify dynamic URLs, necessitating advanced detection
Externí odkaz:
https://doaj.org/article/25d4d67bd8ab475d8a7f5752dbfc5e43
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 428-433 (2024)
Goal: The purpose of this paper is to recognize autism spectrum disorders (ASD) using graph attention network. Methods: we propose a node features graph attention network (NF-GAT) for learning functional connectivity (FC) features to achieve ASD diag
Externí odkaz:
https://doaj.org/article/42110df3d4ad4889b45d401d4b37aa43
Publikováno v:
IEEE Access, Vol 12, Pp 79549-79567 (2024)
Parkinson’s disease is a progressive neurological condition that affects motor abilities. Common symptoms include tremors, muscle stiffness, and difficulty with coordinated movements. A variety of efforts are underway to address these issues and im
Externí odkaz:
https://doaj.org/article/528458774c7b4588b273d3d7ef019558