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Autor:
Parvez Shaik, Kamal Kishore Garg, Praveen Kumar Singya, Vimal Bhatia, Ondrej Krejcar, Mohamed-Slim Alouini
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3775-3791 (2024)
With an objective of ubiquitous connectivity around the world with enhanced spectral efficiency, intelligent reflecting surfaces (IRS) integrated satellite-terrestrial communications is a topic of research interest specially in infrastructure-deficie
Externí odkaz:
https://doaj.org/article/f6a3ecff236c4c3aac5fd9137117db1e
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:
Mondikathi Chiranjeevi, V. Sateeshkrishna Dhuli, Murali Krishna Enduri, Koduru Hajarathaiah, Linga Reddy Cenkeramaddi
Publikováno v:
IEEE Access, Vol 12, Pp 93711-93722 (2024)
In complex networks, node impact refers to an individual node’s significance or influence within the structure. The evaluation of the impact of the nodes in information transmission, prevention of pandemics, and resilience applications of the infra
Externí odkaz:
https://doaj.org/article/a4029c5a788d4116b9f79d03025010b8
Publikováno v:
IEEE Access, Vol 12, Pp 93924-93945 (2024)
In the quest for enhancing global optimization techniques, this paper introduces the Soccer Match Algorithm (SMA), a novel metaheuristic inspired by soccer dynamics. SMA models the strategic elements of a soccer game including tactical roles, composi
Externí odkaz:
https://doaj.org/article/7a92d7ec92104dcb924b8c5a8136afd9
Autor:
Kiyotaka Mukasa, Yusuke Nuruki, Hayato Kubo, Yoshihide Narahara, Motohiro Umehara, Kazuyuki Fujie
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-4 (2024)
Sapphire substrates have recently been recognized for their potential to improve the coherence time of superconducting qubits. However, due to challenges in via fabrication, silicon substrates have been predominantly used for qubits. In this study, w
Externí odkaz:
https://doaj.org/article/f57436eec1614becab56e9b61e282bfe
Autor:
Alex C. Dzewaltowski, Philippe Malcolm
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2432-2440 (2024)
Robotic rehabilitation has been shown to match the effects of conventional physical therapy on motor function for patients with neurological diseases. Rehabilitation robots have the potential to reduce therapists’ workload in time-intensive trainin
Externí odkaz:
https://doaj.org/article/56ec0a11c0c84df7a299c2a26c6d053b
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2450-2459 (2024)
Acupuncture is an important therapeutic method of traditional Chinese medicine and can effectively modulate brain disorders. The therapeutic efficacy of acupuncture is hard to evaluate due to lacking of effective measurements of brain activity. In th
Externí odkaz:
https://doaj.org/article/045107166d3e4544a9901012f932e988
Autor:
Gabriel Diamond-Ouellette, Miorie Le Quang, Thomas Karakolis, Laurent J. Bouyer, Krista L. Best
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2441-2449 (2024)
Walking patterns are modified during load carriage, resulting in an increased activation of lower limb muscles and energy expenditure. Negative effects of load carriage could be minimized by wearing an exoskeleton, but evidence on the effects are con
Externí odkaz:
https://doaj.org/article/a2cac9a859b84ca1bd67e2f1145e3450
Publikováno v:
IEEE Access, Vol 12, Pp 93116-93132 (2024)
This study explores the convergence of biometric analytics and machine learning in online education, where the level of student participation directly impacts academic achievement. In this study, various machine learning models were employed to ident
Externí odkaz:
https://doaj.org/article/0e6c038461d74cdba59db248a7458609
Publikováno v:
IEEE Access, Vol 12, Pp 92635-92651 (2024)
Coronary Artery Disease (CAD) imposes a significant global health burden, profoundly impacting morbidity and mortality rates worldwide. Accurate prediction of CAD is paramount for efficient management and prevention of associated complications. This
Externí odkaz:
https://doaj.org/article/4dcf0239c24241efa85358b4f15fa3a2