Zobrazeno 1 - 10
of 543
pro vyhledávání: '"Pingyi Fan"'
Publikováno v:
Urban Lifeline, Vol 2, Iss 1, Pp 1-10 (2024)
Abstract The development of the Internet of Things has led to a significant increase in the number of devices, consequently generating a vast amount of data and resulting in an influx of unlabeled data. Collecting these data enables the training of r
Externí odkaz:
https://doaj.org/article/c72f4282eb1a406f8a9e1fcaba1d1124
Publikováno v:
Sensors, Vol 24, Iss 13, p 4338 (2024)
As autonomous driving may be the most important application scenario of the next generation, the development of wireless access technologies enabling reliable and low-latency vehicle communication becomes crucial. To address this, 3GPP has developed
Externí odkaz:
https://doaj.org/article/d0fac26ce41446c9a0b6365b39b71299
Autor:
Gangtao Xin, Pingyi Fan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract With the advancement of intelligent vision algorithms and devices, image reprocessing and secondary propagation are becoming increasingly prevalent. A large number of similar images are being produced rapidly and widely, resulting in the hom
Externí odkaz:
https://doaj.org/article/5f4a6b88426646f991822b92a17d7abc
Publikováno v:
Entropy, Vol 26, Iss 2, p 102 (2024)
In recent years, semantic communication has received significant attention from both academia and industry, driven by the growing demands for ultra-low latency and high-throughput capabilities in emerging intelligent services. Nonetheless, a comprehe
Externí odkaz:
https://doaj.org/article/8c7b847d659e497784edde2646100547
Publikováno v:
Sensors, Vol 23, Iss 24, p 9687 (2023)
Multi-input multi-output and non-orthogonal multiple access (MIMO-NOMA) Internet-of-Things (IoT) systems can improve channel capacity and spectrum efficiency distinctly to support real-time applications. Age of information (AoI) plays a crucial role
Externí odkaz:
https://doaj.org/article/43cafc9e004c48a389be1c7b45bca4de
Publikováno v:
Entropy, Vol 25, Iss 8, p 1205 (2023)
As a promising distributed learning paradigm, federated learning (FL) faces the challenge of communication–computation bottlenecks in practical deployments. In this work, we mainly focus on the pruning, quantization, and coding of FL. By adopting a
Externí odkaz:
https://doaj.org/article/901eb90a0d8b44bdbb8943b10c97910d
Autor:
Gangtao Xin, Pingyi Fan
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract In disease diagnosis, medical image plays an important part. Its lossless compression is pretty critical, which directly determines the requirement of local storage space and communication bandwidth of remote medical systems, so as to help t
Externí odkaz:
https://doaj.org/article/43858440c508469ba4db39daa515613a
Publikováno v:
Sensors, Vol 23, Iss 7, p 3449 (2023)
In vehicular edge computing (VEC), some tasks can be processed either locally or on the mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact, tasks are offloaded or not, based on the status of vehicle-to-infrastructu
Externí odkaz:
https://doaj.org/article/bcdcf0ac85344f059f44776913683c71
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 1, Pp 216-229 (2020)
In Monte Carlo based importance sampling estimations, Effective Sample Size (ESS) is an important index of simulation efficiency, since ESS can measure the divergence between the target distribution and the proposal distribution effectively, and thus
Externí odkaz:
https://doaj.org/article/744fe6a023b743d28b332050041ec2c5
Autor:
Gangtao Xin, Pingyi Fan
Publikováno v:
Entropy, Vol 24, Iss 12, p 1842 (2022)
Semantic communication is not focused on improving the accuracy of transmitted symbols, but is concerned with expressing the expected meaning that the symbol sequence exactly carries. However, the measurement of semantic messages and their correspond
Externí odkaz:
https://doaj.org/article/fa7d372372c54711b39a17ff6896edd5