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of 655
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Autor:
Angelos Pentelas, Dimitris Katsiros, Dimitra Paranou, George Doukas, Konstantinos Chondralis, Giorgos Giannopoulos, Evangelos Angelou, George Papastefanatos
Publikováno v:
IEEE Access, Vol 12, Pp 91462-91479 (2024)
Telco edge data centers (DCs) accommodate applications whose load fluctuates considerably during a day. This variability mandates swift and responsive resource adjustments to mitigate the risk of incurring unnecessary costs during off-peak periods, w
Externí odkaz:
https://doaj.org/article/3aa3984f60c94f76a5b8aa49d060a29d
Publikováno v:
IEEE Access, Vol 12, Pp 92919-92930 (2024)
An autonomous network defense method under attack is a critical part of preventing network infrastructure from potential damage in real time. Despite various network intrusion detection techniques, our network space is not safe enough due to the incr
Externí odkaz:
https://doaj.org/article/e003194597764fc6b859239090a05b27
Publikováno v:
IEEE Access, Vol 12, Pp 90204-90217 (2024)
An increasing number of services are being offered online, which leads to great difficulties in selecting appropriate services during mashup development. There have been many service recommendation studies and achieved remarkable results to alleviate
Externí odkaz:
https://doaj.org/article/01c636b1499b475ca822e0f803fe49c3
Autor:
Yasmeen Ansari, Saira Gillani, Maryam Bukhari, Byeongcheon Lee, Muazzam Maqsood, Seungmin Rho
Publikováno v:
IEEE Access, Vol 12, Pp 90041-90060 (2024)
In the recent past, algorithmic stock market trading for financial markets has undergone significant growth and played a major role in investment decisions. Several methods have been proposed with the objective of designing optimum trading strategies
Externí odkaz:
https://doaj.org/article/8d14a5ea52744304ae52085bec6f9e15
Autor:
Muhammad Muzammul, Muhammad Assam, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Tahani Jaser Alahmadi
Publikováno v:
IEEE Access, Vol 12, Pp 91300-91315 (2024)
Trajectory planning for unmanned aerial vehicles (UAVs) presents a formidable challenge, particularly in environments where details about the terrain and objectives are not known beforehand. This uncertainty has propelled the adoption of UAVs across
Externí odkaz:
https://doaj.org/article/6d047cff66334933bff31b13b15b33e4
Publikováno v:
IEEE Access, Vol 12, Pp 88779-88818 (2024)
Situation Awareness (SA) is a process of sensing, understanding and predicting the environment and is an important component in complex systems. The reception of information from the environment tends to be continuous and of a multimodal nature. AI t
Externí odkaz:
https://doaj.org/article/8e0e7f26426045e6a9ead171bc037f4f
Autor:
Lijun Zheng, Chenglong Li
Publikováno v:
IEEE Access, Vol 12, Pp 87489-87500 (2024)
Automatic creation of real-time, emotion-based piano music pieces remains a challenge for deep learning models. While Generative Adversarial Networks (GANs) have shown promise, existing methods can struggle with generating musically coherent pieces a
Externí odkaz:
https://doaj.org/article/8ca47b9545d4450dbf34135fac6581fd
Publikováno v:
IEEE Access, Vol 12, Pp 87625-87632 (2024)
The objective of this research is to tackle the synchronization challenge between digital twin models of nuclear power and their corresponding real-world units, thereby enhancing the safety protocols of nuclear power operations. Central to achieving
Externí odkaz:
https://doaj.org/article/d22f6175096d4cf4a25cee7a9438d224
Publikováno v:
IEEE Access, Vol 12, Pp 87217-87236 (2024)
We utilize hybrid quantum deep reinforcement learning to learn navigation tasks for a simple, wheeled robot in simulated environments of increasing complexity. For this, we train parameterized quantum circuits (PQCs) with two different encoding strat
Externí odkaz:
https://doaj.org/article/af71c4880df84349ba791b52334bd503
Autor:
Angel Ornelas-Gutierrez, Cesar Vargas-Rosales, Rafaela Villalpando-Hernandez, Jaime Zuniga-Mejia
Publikováno v:
IEEE Access, Vol 12, Pp 85580-85600 (2024)
This paper proposes a novel smart communication scheme that can learn and adapt to different impairments and dynamics of vehicular wireless communications. The proposed approach aims to improve Vehicular Ad-hoc Network (VANET) Quality of Service (QoS
Externí odkaz:
https://doaj.org/article/ad35dcd37951418e880b87e94de600ae