Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Aohan Li"'
Autor:
Minoru Fujisawa, Hiroyuki Yasuda, Ryosuke Isogai, Maki Arai, Yoshifumi Yoshida, Aohan Li, Song-Ju Kim, Mikio Hasegawa
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract Ongoing research endeavors are exploring the potential of artificial intelligence to enhance the efficiency of wireless communication systems. Nevertheless, complex computational mechanisms, such as those inherent in neural networks, are not
Externí odkaz:
https://doaj.org/article/a852cbcb7f3240fd812d03b509dfd4a6
Autor:
Tsukumo Fujita, Aohan Li, Quang Vinh do, Teppei Otsuka, Seon-Geun Jeong, Won-Joo Hwang, Hiroki Takesue, Kensuke Inaba, Kazuyuki Aihara, Mikio Hasegawa
Publikováno v:
IEEE Access, Vol 12, Pp 136011-136024 (2024)
Unmanned aerial vehicles (UAVs) are used widely in wireless communications to enhance the service experience of mobile users on the ground. This study investigates a dynamic resource management problem in a large-scale UAV-aided wireless network, whe
Externí odkaz:
https://doaj.org/article/c939257634eb4310a09991a4c4d716ec
Publikováno v:
IEEE Access, Vol 12, Pp 18073-18086 (2024)
The effectiveness of laser chaos decision-makers in facilitating ultrafast decision-making makes it possible for a real-time process of channel allocation scheme for the non-orthogonal multiple access (NOMA) technology in the next generation of wirel
Externí odkaz:
https://doaj.org/article/6bd67920bfa9415ba3151d6bc124212a
Autor:
Jiayu Liu, Chuanrong Zhao, Xue Xiao, Aohan Li, Yueqi Liu, Jianan Zhao, Linwei Fan, Zhenhui Liang, Wei Pang, Weijuan Yao, Wei Li, Jing Zhou
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-20 (2023)
Abstract Mechanotransduction in endothelial cells is critical to maintain vascular homeostasis and can contribute to disease development, yet the molecules responsible for sensing flow remain largely unknown. Here, we demonstrate that the discoidin d
Externí odkaz:
https://doaj.org/article/c10a4d34795f427f9240c3fbf0d32324
Publikováno v:
Antioxidants, Vol 13, Iss 5, p 515 (2024)
Fibrosis, a pathological alteration of the repair response, involves continuous organ damage, scar formation, and eventual functional failure in various chronic inflammatory disorders. Unfortunately, clinical practice offers limited treatment strateg
Externí odkaz:
https://doaj.org/article/dfe7ef6d8834462b8fcd7c2767330233
Autor:
Daisuke Yamamoto, Honami Furukawa, Aohan Li, Yusuke Ito, Koya Sato, Koji Oshima, So Hasegawa, Yoshito Watanabe, Yozo Shoji, Song-Ju Kim, Mikio Hasegawa
Publikováno v:
IEEE Access, Vol 10, Pp 67870-67882 (2022)
In recent years, the demand for new applications using various Internet of Things (IoT) devices has led to an increase in the number of devices connected to wireless networks. However, owing to the limitation of available frequency resources for IoT
Externí odkaz:
https://doaj.org/article/4dc577b5d2c14408865aa7f5d210c15b
Autor:
Naoki Fujita, Nicolas Chauvet, Andre Rohm, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse
Publikováno v:
IEEE Access, Vol 10, Pp 57630-57640 (2022)
Generating paired sequences with maximal compatibility from a given set is one of the most important challenges in various applications, including information and communication technologies. However, the number of possible pairings explodes in a doub
Externí odkaz:
https://doaj.org/article/af4fb2588d0241f991e004084c9aa412
Publikováno v:
Sensors, Vol 23, Iss 17, p 7567 (2023)
It is essential to accurately diagnose bearing faults to avoid property losses or casualties in the industry caused by motor failures. Recently, the methods of fault diagnosis for bearings using deep learning methods have improved the safety of motor
Externí odkaz:
https://doaj.org/article/dcf7e7b93f824a92890c4cf66733ecc5
Publikováno v:
Sensors, Vol 23, Iss 15, p 6687 (2023)
Long-Range (LoRa) devices have been deployed in many Internet of Things (IoT) applications due to their ability to communicate over long distances with low power consumption. The scalability and communication performance of the LoRa systems are highl
Externí odkaz:
https://doaj.org/article/3ce9b176ee894aaebd9251f9b2955bcb
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 933 (2023)
In recent years, the industrial motor bearing fault diagnosis method based on deep learning and multi-source information fusion has made some research progress, and research results show that the uncertainty of noise interference and signal measureme
Externí odkaz:
https://doaj.org/article/3bcc8bc8ec2b4f2e9c4270b38427ee5c