Zobrazeno 1 - 10
of 100
pro vyhledávání: '"LiZe Gu"'
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract Background As one of the fundamental problems in bioinformatics, the double digest problem (DDP) focuses on reordering genetic fragments in a proper sequence. Although many algorithms for dealing with the DDP problem were proposed during the
Externí odkaz:
https://doaj.org/article/6be7d9b5baac431b98316dcb08878131
Publikováno v:
IEEE Access, Vol 8, Pp 72910-72916 (2020)
The double digest problem (DDP) is a fundamental problem in bioinformatics, and it has been proven to be an NP-hard problem. As a type of promising combinational optimization method inspired by evolutionary theory, genetic algorithms have attracted m
Externí odkaz:
https://doaj.org/article/c161a956084c4ae6b567be8eb7c3dc15
Publikováno v:
IEEE Access, Vol 8, Pp 198118-198130 (2020)
Anonymous cryptocurrency is a branch of cryptocurrency designed to protect users' privacy. Ring Confidential Transaction (RingCT) protocol is widely used in anonymous cryptocurrencies (e.g. Monero) to hide transaction information. However, its expens
Externí odkaz:
https://doaj.org/article/0a6f0a71310843c68bae93a6039554da
Autor:
Lingshan Gou, Feng Suo, Yi Wang, Na Wang, Qin Wu, Shunan Hu, Peng Wang, Lize Gu, Man Zhang, Chuanxia Wang, Yan Zhang, Xin Yin, Peng Zhang, Jian Xu, Xingqi Wang, Maosheng Gu
Publikováno v:
Molecular Genetics & Genomic Medicine, Vol 9, Iss 6, Pp n/a-n/a (2021)
Abstract Objective This study was to report the experiences on the clinical value of noninvasive prenatal testing (NIPT) for the screening of fetal chromosomal deletions/duplications. Methods We performed a retrospective analysis of a cohort of 20,43
Externí odkaz:
https://doaj.org/article/df20d8a1a909468ab37e3dc7f4f615f9
Publikováno v:
IEEE Access, Vol 7, Pp 41309-41314 (2019)
In the Internet of Things (IoT), a cyber physical system (CPS) has achieved great success in a wide range of distributed integration environments. In the cyber physical system (CPS), interconnected sensing devices collect data in the surrounding envi
Externí odkaz:
https://doaj.org/article/38ffbfde6c744cd3b6960be39ac4e433
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-10 (2018)
Abstract Visual signal detection and data transmitting are key issues in the fields of security monitoring. In this work, aiming at recognizing the object in real time, cameras are employed for image detection. Based on WiFi transmission principle, t
Externí odkaz:
https://doaj.org/article/a101b7f4dbf842a98a4216294907dfd5
Publikováno v:
Sensors, Vol 22, Iss 1, p 25 (2021)
Preventing network intrusion is the essential requirement of network security. In recent years, people have conducted a lot of research on network intrusion detection systems. However, with the increasing number of advanced threat attacks, traditiona
Externí odkaz:
https://doaj.org/article/72650fd84388429f931811a852189bed
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11200 (2021)
With the frequent occurrence of network security events, the intrusion detection system will generate alarm and log records when monitoring the network environment in which a large number of log and alarm records are redundant, which brings great bur
Externí odkaz:
https://doaj.org/article/e46b9a12f9414db5b2022f4789324b8a
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4151 (2021)
Object detection is an essential task in computer vision. Many methods have made significant progress in ordinary object detection. Due to the particularity of remote sensing images, the detection target is tiny, the background is messy, dense, and h
Externí odkaz:
https://doaj.org/article/eedf2dba1ad14ff2a40c3e74ed8f9a80
Publikováno v:
Sensors, Vol 21, Iss 16, p 5608 (2021)
This paper presents a new model for multi-object tracking (MOT) with a transformer. MOT is a spatiotemporal correlation task among interest objects and one of the crucial technologies of multi-unmanned aerial vehicles (Multi-UAV). The transformer is
Externí odkaz:
https://doaj.org/article/33c84a68d9b448429f86cf18dc6ed28a