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Publikováno v:
IEEE Access, Vol 12, Pp 93426-93449 (2024)
This paper presents a supervised machine learning approach using eight popular classifiers for fault classification in power transmission lines. The classification of faults, indicated by the behavior of the electrical signals associated with them, p
Externí odkaz:
https://doaj.org/article/cba81acd24874debad6c5790f9dce933
Publikováno v:
IEEE Access, Vol 12, Pp 93235-93260 (2024)
Cyber Threat Detection (CTD) is subject to complicated and rapidly accelerating developments. Poor accuracy, high learning complexity, limited scalability, and a high false positive rate are problems that CTD encounters. Deep Learning defense mechani
Externí odkaz:
https://doaj.org/article/14812fc9d3cd48f5839dc12a1503cac2
Publikováno v:
IEEE Access, Vol 12, Pp 89856-89872 (2024)
Feature selection (FS) is an important dimension reduction technique in practical applications, which has been widely studied during the past decades. Although a large number of FS algorithms have been proposed and shown the promising performance, mo
Externí odkaz:
https://doaj.org/article/630e819b05064de3b3070ae44a3cc0f5
Publikováno v:
IEEE Access, Vol 12, Pp 88696-88714 (2024)
Explainable artificial intelligence (XAI) techniques are used to understand the rationale behind the decision-making of machine learning models. In addition to the need for model explainability, the demand for an ever-growing number of multimodal fea
Externí odkaz:
https://doaj.org/article/c4cef0cb205d4b87829aedff95a09668
Autor:
David Chushig-Muzo, Hugo Calero-Diaz, Francisco J. Lara-Abelenda, Vanesa Gomez-Martinez, Conceicao Granja, Cristina Soguero-Ruiz
Publikováno v:
IEEE Access, Vol 12, Pp 84292-84305 (2024)
Noncommunicable diseases (NCDs) are the leading cause of morbidity and mortality worldwide. Cardiovascular diseases (CVDs) and diabetes are the most prevalent NCDs, causing 1.9 and 1.5 million deaths yearly. Individuals diagnosed with type 1 diabetes
Externí odkaz:
https://doaj.org/article/42d884569fd94a18bfbfa53524e55c16
Publikováno v:
IEEE Access, Vol 12, Pp 84752-84762 (2024)
Cybersecurity in the Internet of Things (IoT) ecosystem is vital to protect sensitive data, stop unauthorized access, and mitigate the risk of disruptive cyberattacks. Cyberattack recognition utilizing an intrusion detection system (IDS) is a major i
Externí odkaz:
https://doaj.org/article/eca3a906d4d74d23a2f7b4654421e899
Publikováno v:
IEEE Access, Vol 12, Pp 83830-83857 (2024)
The exponential growth of intrusions on networked systems inspires new research directions on developing artificial intelligence (AI) techniques for intrusion detection systems (IDS). In this context, several AI techniques have been leveraged for aut
Externí odkaz:
https://doaj.org/article/26fbe6fe812d476aa001cf2c29c02650
Autor:
Md. Maniruzzaman, Koki Hirooka, Yoichi Tomioka, Md. Al Mehedi Hasan, Yong Seok Hwang, Akiko Megumi, Akira Yasumura, Jungpil Shin
Publikováno v:
IEEE Access, Vol 12, Pp 82984-82995 (2024)
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by the symptoms of inattention, hyperactivity, and impulsivity that significantly affect daily functioning. It is usually 1st diagnosed in childhood and of
Externí odkaz:
https://doaj.org/article/19dd07eb45ce4d9a80d482427022e8c6
Publikováno v:
IEEE Access, Vol 12, Pp 81783-81792 (2024)
Balance training is widely used to improve stability, and Achilles tendon vibration is an effective method. However, evaluation of training progress often relies on Center of Pressure (COP) analysis, which can be challenging for non-experts. To provi
Externí odkaz:
https://doaj.org/article/af25ffb203184364a30a9217f0b024f4
Publikováno v:
IEEE Access, Vol 12, Pp 81252-81264 (2024)
Predictive analytics involves the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques to analyze current and historical data, identify patterns, and make predictions about future outcomes. In the context of healthcare, predictive
Externí odkaz:
https://doaj.org/article/bb0f98a4357f4e9ca563d8a79d622812