Zobrazeno 1 - 10
of 401
pro vyhledávání: '"Baoqing, Li"'
Autor:
Degao ZHANG, Xiaotao XU, Jie SUN, Fuqiang ZHANG, Baoqing LI, Li ZHANG, Xinguo ZHUANG, Xiaoyun YAN
Publikováno v:
Meitan xuebao, Vol 49, Iss 9, Pp 3884-3895 (2024)
Lithium element enrichment is widely observed in the coal-bearing series of the Late Permian Heshan Formation in Shanglin, Guangxi, which has potential economic value and research significance. In this study, a multi-proxy study was conducted for eva
Externí odkaz:
https://doaj.org/article/f0a18780084f421498b080213e1179ef
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 9, Pp 1430-1440 (2023)
Abstract In radar target detection and tracking tasks, the detection algorithm and data association algorithm are the primary technologies. The accuracy of detection, stability of tracking and processing speed are the key points to accomplishing effe
Externí odkaz:
https://doaj.org/article/01ab2b853eee48b9a4aa33e760012294
This letter aims to maximize the average throughput via the joint design of the transmit power and trajectory for unmanned aerial vehicle (UAV)-enabled network. The conventional way to tackle this problem is based on the alternating optimization (AO)
Externí odkaz:
http://arxiv.org/abs/2003.04494
Publikováno v:
Alexandria Engineering Journal, Vol 71, Iss , Pp 451-462 (2023)
In intrusion detection wireless sensor network (WSN), ensuring detection performance and prolonging network lifetime are two equally important but contradictory pursuits. In this paper, we propose a node scheduling scheme jointly considering the dete
Externí odkaz:
https://doaj.org/article/56d04250694747a5b3e3ea857f59929b
Publikováno v:
Practical Laboratory Medicine, Vol 38, Iss , Pp e00351- (2024)
Objective: The 24-h urine protein remains the gold standard to diagnose proteinuria in suspected preeclamptic patients. However, this test is time consuming and sometimes inaccurate. In this study, we aimed to analyse the correlation between the rand
Externí odkaz:
https://doaj.org/article/d5c97c90a4c84cbb827231c76d87e2d8
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 13001-13010 (2022)
Target tracking is a critical application in wireless sensor networks (WSNs). Existing target tracking algorithms basically perform node scheduling based on trajectory prediction. Once the target is lost due to prediction errors, the target recovery
Externí odkaz:
https://doaj.org/article/ccc6b9cf0e654086bbb418f2319ec490
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1928 (2024)
The accurate identification of dynamic load is important for the optimal design and fault diagnosis of aeronautical structures. Aiming at the identification of dynamic loads on complex or unknown aeronautical structures, a deep convolution neural net
Externí odkaz:
https://doaj.org/article/63ae481eb85445d9a33b5ac09ffe9e46
Publikováno v:
IET Image Processing, Vol 16, Iss 11, Pp 3097-3111 (2022)
Abstract Recently, 3D Convolutional Neural Networks (3D CNNs) have attracted extensive attention in extracting spatial and temporal features in videos for their efficient feature extraction ability. However, it also brings enormous model parameters b
Externí odkaz:
https://doaj.org/article/b51732dddbef4a7cbb5a347e6ba32cca
Publikováno v:
Precision Radiation Oncology, Vol 6, Iss 2, Pp 157-163 (2022)
Abstract Objective To evaluate how the addition of concurrent chemotherapy to radiation therapy (RT) affects outcomes for Asian American patients with nasopharyngeal carcinoma. Methods Using the California Cancer Registry – a population‐based, st
Externí odkaz:
https://doaj.org/article/7070e22c1dc640ebb19f719f400cffe5
Autor:
Yang Lei, Bo Jiang, Guofeng Su, Yong Zou, Falin Qi, Baoqing Li, Feiyu Jia, Tian Tian, Qiming Qu
Publikováno v:
Sensors, Vol 23, Iss 9, p 4343 (2023)
As the number and length of high-speed railway tunnels increase in China, implicit defects such as insufficient lining thicknesses, voids, and poor compaction have become increasingly common, posing a serious threat to train operation safety. It is,
Externí odkaz:
https://doaj.org/article/5f42cd1a73d34832b35b0fe257a3ebd3