Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Nianfeng Shi"'
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 408-423 (2024)
In the current technological landscape, Multi-Robot Systems (MRS) have become crucial for complex tasks, with applications in industrial automation, search and rescue, and intelligent transportation. However, existing techniques face challenges in pa
Externí odkaz:
https://doaj.org/article/3ba828df78924b2288bb5008ae238c91
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 7, Pp 6608-6630 (2024)
Feature representations with rich topic information can greatly improve the performance of story segmentation tasks. VAEGAN offers distinct advantages in feature learning by combining variational autoencoder (VAE) and generative adversarial network (
Externí odkaz:
https://doaj.org/article/33e620b48815430991f415ce1142f7c0
Publikováno v:
IEEE Access, Vol 12, Pp 59113-59121 (2024)
Automatic modulation recognition (AMR) is an essential topic of cognitive radio, which is of great significance for the analysis of wireless signals and is one of the current research hotspots. Traditional AMR approaches predominantly utilize raw in-
Externí odkaz:
https://doaj.org/article/1a2e86fbacf94d26ad91bbb807548fac
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
In light of advancing socio-economic development and urban infrastructure, urban traffic congestion and accidents have become pressing issues. High-resolution remote sensing images are crucial for supporting urban geographic information systems (GIS)
Externí odkaz:
https://doaj.org/article/f9668eb12abf45eeb55cf109b44a0a0d
Publikováno v:
IEEE Access, Vol 11, Pp 134794-134803 (2023)
The research of the mutli-UAV assisted NOMA networks has received a lot of attention because of its superior ability to improve spectrum efficiency and high maneuverability simultaneously. In this research, we take into account downlink NOMA networks
Externí odkaz:
https://doaj.org/article/bcbe9b51f1c8495d9243623792d2bbb2
Publikováno v:
Biology, Vol 12, Iss 12, p 1510 (2023)
Geloina erosa is an important benthic animal in the mangrove, serving as an indicator organism for coastal environmental pollution. This study aimed to investigate the tissue-specific expression of miRNAs and their regulatory roles in predicted targe
Externí odkaz:
https://doaj.org/article/678c2a6c74d04dbc95a0fd774812d505
Publikováno v:
PLoS ONE, Vol 18, Iss 9 (2023)
Externí odkaz:
https://doaj.org/article/98c85a24a826480b9882e757079f161f
Autor:
Tiekun Jia, Chenxi Sun, Nianfeng Shi, Dongsheng Yu, Fei Long, Ji Hu, Jilin Wang, Binbin Dong, Jili Li, Fang Fu, Shujing Hu, Joong Hee Lee
Publikováno v:
Nanomaterials, Vol 12, Iss 19, p 3342 (2022)
Regardless of its good electron-transfer ability and chemical stability, pure Zn2SnO4 (ZSO) still has intrinsic deficiencies of a narrow spectral response region, poor absorption ability, and high photo-activated carrier recombination rate. Aiming to
Externí odkaz:
https://doaj.org/article/3c518c47b62c4147a9722a5b6877536f
Autor:
Nianfeng Shi
Publikováno v:
Information, Vol 12, Iss 10, p 424 (2021)
A role-based teaching approach was proposed in order to decrease the cognitive load placed by the case-based teaching method in the undergraduate novice programmer comprehension. The results are evaluated by using the SOLO (Structure of Observed Lear
Externí odkaz:
https://doaj.org/article/a946a6db4fdb4312aab0ad947d345b34
Publikováno v:
Future Internet, Vol 12, Iss 12, p 230 (2020)
Immunoglobulin A nephropathy (IgAN) is the most common primary glomerular disease all over the world and it is a major cause of renal failure. IgAN prediction in children with machine learning algorithms has been rarely studied. We retrospectively an
Externí odkaz:
https://doaj.org/article/d60f9ec54f5846bda542ba86e2020e8f