The current development of structural health monitoring for bridges: a review

Z Deng, M Huang, N Wan, J Zhang - Buildings, 2023 - mdpi.com
The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …

Localization in wireless sensor networks: A survey on algorithms, measurement techniques, applications and challenges

AK Paul, T Sato - Journal of sensor and actuator networks, 2017 - mdpi.com
Localization is an important aspect in the field of wireless sensor networks (WSNs) that has
developed significant research interest among academia and research community. Wireless …

The use of unmanned aerial vehicles (UAVs) for engineering geology applications

D Giordan, MS Adams, I Aicardi, M Alicandro… - Bulletin of Engineering …, 2020 - Springer
This paper represents the result of the IAEG C35 Commission “Monitoring methods and
approaches in engineering geology applications” workgroup aimed to describe a general …

Modeling the internet of things adoption barriers in food retail supply chains

SS Kamble, A Gunasekaran, H Parekh… - Journal of Retailing and …, 2019 - Elsevier
Internet of things (IoT) is estimated to play a significant role in offering tangible and
commercial benefits to the supply chains making the operational processes more efficient …

A theoretical foundation of network localization and navigation

MZ Win, Y Shen, W Dai - Proceedings of the IEEE, 2018 - ieeexplore.ieee.org
Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …

Deep metric learning for person re-identification

D Yi, Z Lei, S Liao, SZ Li - 2014 22nd international conference …, 2014 - ieeexplore.ieee.org
Various hand-crafted features and metric learning methods prevail in the field of person re-
identification. Compared to these methods, this paper proposes a more general way that can …

Unmasking the abnormal events in video

R Tudor Ionescu, S Smeureanu… - Proceedings of the …, 2017 - openaccess.thecvf.com
We propose a novel framework for abnormal event detection in video that requires no
training sequences. Our framework is based on unmasking, a technique previously used for …

[引用][C] 无线传感器网络中的自身定位系统和算法

王福豹, 史龙, 任丰原 - 软件学报, 2005

[引用][C] 无线传感器网络综述

马祖长, 孙怡宁, 梅涛 - 通信学报, 2004

[引用][C] 无线传感器网络的研究进展

李建中, 高宏 - 计算机研究与发展, 2008