Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Zhidong Deng"'
Autor:
Zhidong Deng, Jianjun Niu
Publikováno v:
Sensors, Vol 9, Iss 10, Pp 8007-8030 (2009)
Energy constraints restrict the lifetime of wireless sensor networks (WSNs) with battery-powered nodes, which poses great challenges for their large scale application. In this paper, we propose a family of collaborative distributed scheduling approac
Externí odkaz:
https://doaj.org/article/87608d30926449fb81296edbc35a6893
Publikováno v:
Sensors, Vol 9, Iss 4, Pp 2836-2850 (2009)
Severe natural conditions and complex terrain make it difficult to apply precise localization in underground mines. In this paper, an anchor-free localization method for mobile targets is proposed based on non-metric multi-dimensional scaling (Multi-
Externí odkaz:
https://doaj.org/article/fcf1cd1d7bb74434ae687ea20d06f901
Publikováno v:
Sensors, Vol 16, Iss 3, p 280 (2016)
A high-performance differential global positioning system (GPS) receiver with real time kinematics provides absolute localization for driverless cars. However, it is not only susceptible to multipath effect but also unable to effectively fulfill prec
Externí odkaz:
https://doaj.org/article/a2eedb4ddba74f83b88007e2f5a9adc9
Autor:
Xiaoliang Cheng, Zhidong Deng
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 5, Iss 1, Pp 76-76 (2009)
Externí odkaz:
https://doaj.org/article/980dc731602a4a95b7379c44ef14e0fe
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Molecular Biotechnology.
Gastric cancer (GC) has been a common tumor type with high mortality. Distal metastasis is one of the main causes of death in GC patients, which is also related to poor prognosis. The mRNA profiles and clinical information of GC patients were downloa
Autor:
Chao Wei, Zhidong Deng
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
International Conference on Algorithms, Microchips and Network Applications.
Existing permutation-invariant methods can be divided into two categories according to the aggregation scope, i.e. global aggregation and local one. Although the global aggregation methods, e. g., PointNet and Deep Sets, get involved in simpler struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0659a489818868a29a42be4b01f2cd51
Publikováno v:
2021 International Conference on 3D Vision (3DV).