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江灏 (Jiang Hao)
江灏 (Jiang Hao)
Fuzhou University, Nanyang Technological University
在 fzu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fusion of WiFi, smartphone sensors and landmarks using the Kalman filter for indoor localization
Z Chen, H Zou, H Jiang, Q Zhu, YC Soh, L Xie
Sensors 15 (1), 715-732, 2015
4822015
A realistic evaluation and comparison of indoor location technologies: Experiences and lessons learned
D Lymberopoulos, J Liu, X Yang, RR Choudhury, V Handziski, S Sen
Proceedings of the 14th international conference on information processing …, 2015
4342015
WinIPS: WiFi-based non-intrusive indoor positioning system with online radio map construction and adaptation
H Zou, M Jin, H Jiang, L Xie, CJ Spanos
IEEE Transactions on Wireless Communications 16 (12), 8118-8130, 2017
2042017
Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes
J Yang, H Zou, H Jiang, L Xie
IEEE Internet of Things Journal 5 (5), 3991-4002, 2018
1992018
A robust indoor positioning system based on the procrustes analysis and weighted extreme learning machine
H Zou, B Huang, X Lu, H Jiang, L Xie
IEEE Transactions on Wireless Communications 15 (2), 1252-1266, 2015
1962015
WinLight: A WiFi-based occupancy-driven lighting control system for smart building
H Zou, Y Zhou, H Jiang, SC Chien, L Xie, CJ Spanos
Energy and Buildings 158, 924-938, 2018
1952018
Insulator detection in aerial images for transmission line inspection using single shot multibox detector
X Miao, X Liu, J Chen, S Zhuang, J Fan, H Jiang
Ieee Access 7, 9945-9956, 2019
1822019
Accurate indoor localization and tracking using mobile phone inertial sensors, WiFi and iBeacon
H Zou, Z Chen, H Jiang, L Xie, C Spanos
2017 IEEE international symposium on inertial sensors and systems (INERTIAL …, 2017
1742017
WiFi fingerprinting indoor localization using local feature-based deep LSTM
Z Chen, H Zou, JF Yang, H Jiang, L Xie
IEEE Systems Journal 14 (2), 3001-3010, 2019
1692019
A fast and precise indoor localization algorithm based on an online sequential extreme learning machine
H Zou, X Lu, H Jiang, L Xie
Sensors 15 (1), 1804-1824, 2015
1522015
Bluedetect: An ibeacon-enabled scheme for accurate and energy-efficient indoor-outdoor detection and seamless location-based service
H Zou, H Jiang, Y Luo, J Zhu, X Lu, L Xie
Sensors 16 (2), 268, 2016
1282016
Non-intrusive occupancy sensing in commercial buildings
H Zou, H Jiang, J Yang, L Xie, C Spanos
Energy and Buildings 154, 633-643, 2017
1242017
Deepsense: Device-free human activity recognition via autoencoder long-term recurrent convolutional network
H Zou, Y Zhou, J Yang, H Jiang, L Xie, CJ Spanos
2018 IEEE International Conference on Communications (ICC), 1-6, 2018
1172018
Insulator fault detection in aerial images based on ensemble learning with multi-level perception
H Jiang, X Qiu, J Chen, X Liu, X Miao, S Zhuang
IEEE Access 7, 61797-61810, 2019
952019
An online sequential extreme learning machine approach to WiFi based indoor positioning
H Zou, H Jiang, X Lu, L Xie
2014 IEEE World Forum on Internet of Things (WF-IoT), 111-116, 2014
952014
Adaptive localization in dynamic indoor environments by transfer kernel learning
H Zou, Y Zhou, H Jiang, B Huang, L Xie, C Spanos
2017 IEEE wireless communications and networking conference (WCNC), 1-6, 2017
782017
Indoor localization using smartphone sensors and iBeacons
Z Chen, Q Zhu, H Jiang, YC Soh
2015 IEEE 10th conference on industrial electronics and applications (ICIEA …, 2015
712015
Box-point detector: A diagnosis method for insulator faults in power lines using aerial images and convolutional neural networks
X Liu, X Miao, H Jiang, J Chen
IEEE Transactions on Power Delivery 36 (6), 3765-3773, 2021
602021
CareFi: Sedentary behavior monitoring system via commodity WiFi infrastructures
J Yang, H Zou, H Jiang, L Xie
IEEE Transactions on Vehicular Technology 67 (8), 7620-7629, 2018
572018
Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis
X Liu, X Miao, H Jiang, J Chen
Annual Reviews in Control 50, 253-277, 2020
552020
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