Zobrazeno 1 - 10
of 368
pro vyhledávání: '"Heng Qi"'
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 3, Pp 463-473 (2023)
Abstract Data augmentation is an important pre‐processing step for object detection in 2D image and 3D point clouds. However, studies on multimodal data augmentation are extremely limited compared to single‐modal work. Moreover, simultaneously en
Externí odkaz:
https://doaj.org/article/72dd0a6806674f86be2fdfed799dc012
Publikováno v:
SN Applied Sciences, Vol 4, Iss 12, Pp 1-12 (2022)
Abstract In order to improve the ability of intelligent vehicle to accurately recognize the semantics of the front vehicle, a new method of lamp signal recognition is proposed by combining deep learning with traditional computer vision. Firstly, the
Externí odkaz:
https://doaj.org/article/8d41a28cd5df4b52b55f1dcd740044cf
Publikováno v:
Technologies, Vol 11, Iss 2, p 47 (2023)
A lightweight network target detection algorithm was proposed, based on MobileNetv2_CA, focusing on the problem of high complexity, a large number of parameters, and the missed detection of small targets in the target detection network based on candi
Externí odkaz:
https://doaj.org/article/41a38c21fbff48e3b159f060f1708f63
Publikováno v:
Intelligent Computing, Vol 2022 (2022)
Colocating workloads are commonly used in datacenters to improve server utilization. However, the unpredictable application performance degradation caused by the contention for shared resources makes the problem difficult and limits the efficiency of
Externí odkaz:
https://doaj.org/article/e51400411cd24287846f3c7ab7ff74ea
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 1, Pp 125-132 (2020)
Latency to end-users and regulatory requirements push cloud providers to operate many datacenters all around the globe to host their cloud services. An emerging problem under such geo-distributed architecture is to assign each user request to an appr
Externí odkaz:
https://doaj.org/article/8989c52415754ccea0b04ac1fd87fc12
Publikováno v:
Sensors, Vol 22, Iss 12, p 4601 (2022)
Missing tag incidents are common in RFID-enabled supply-chain and warehousing scenarios due to cargo theft and employee error operations, which may lead to serious economic losses or potential safety hazards. On the premise of ensuring the accuracy o
Externí odkaz:
https://doaj.org/article/05a8ce94585041d6a2a36113318109ca
Publikováno v:
IEEE Access, Vol 7, Pp 175159-175165 (2019)
The citywide crowd flow prediction is crucial for a city to ensure productivity, safety and management of its citizen. However, the crowd flow may be affected by many factors, such as weather, working times, events, seasons, and so on. In this paper,
Externí odkaz:
https://doaj.org/article/6f11e9534c2947ce9b9169bc94f0c3b1
Publikováno v:
IEEE Access, Vol 6, Pp 2039-2054 (2018)
Nearest neighbor search is a fundamental problem in various domains, such as computer vision, data mining, and machine learning. With the explosive growth of data on the Internet, many new data structures using spatial partitions and recursive hyperp
Externí odkaz:
https://doaj.org/article/68345cabaf5a4fcebf82be196664ad87
Publikováno v:
IEEE Access, Vol 6, Pp 24488-24497 (2018)
For data analytics jobs running across geographically distributed datacenters, coflows have to go through the inter-datacenter network over relatively low bandwidth and high cost links. In this case, optimizing cost-performance tradeoffs for such cof
Externí odkaz:
https://doaj.org/article/e7a61d1750ab4370b0aabcd74bd971d1
Publikováno v:
IEEE Access, Vol 5, Pp 3139-3148 (2017)
Software Defined Networks (SDN) is an emerging network architecture. It is shown that SDN can be deployed in a variety of small size networks, such as personal area networks and local area networks. Nevertheless, the deployment of SDN in large scale
Externí odkaz:
https://doaj.org/article/858f8627636f4f28aa0bc83200c2c77b