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Wanqing Wu
Researcher at Sun Yat-sen University
Publications - 85
Citations - 3009
Wanqing Wu is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Wireless sensor network & The Internet. The author has an hindex of 24, co-authored 84 publications receiving 2011 citations. Previous affiliations of Wanqing Wu include University Town of Shenzhen & Shenzhen University.
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Multi-grade brain tumor classification using deep CNN with extensive data augmentation
TL;DR: A novel convolutional neural network (CNN) based multi-grade brain tumor classification system that is experimentally evaluated on both augmented and original data and results show its convincing performance compared to existing methods.
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A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network.
Sandeep Pirbhulal,Sandeep Pirbhulal,Heye Zhang,Eshrat E. Alahi,Eshrat E. Alahi,Hemant Ghayvat,Subhas Chandra Mukhopadhyay,Subhas Chandra Mukhopadhyay,Yuan-Ting Zhang,Wanqing Wu +9 more
TL;DR: The proposed TBSA in integration of the low power Wi-Fi were included in WSNs with the Internet to develop a novel IoT-based smart home which could provide secure data transmission among several associated sensor nodes in the network over a long converge range.
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Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks
TL;DR: The developed technique necessitates less processing time in real-time health monitoring scenarios to construct 128-bit RBSs in comparisons with current methods, and can potentially be used as keys for encryption or entity identifiers to secure WBSNs.
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A joint resource-aware and medical data security framework for wearable healthcare systems
TL;DR: A biometric-based security framework for resource-constrained wearable health monitoring systems by extracting heartbeats from ECG signals is developed and it can be concluded that the proposed framework has got both social and economic significance for real-time healthcare applications.
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Optimization of signal quality over comfortability of textile electrodes for ECG monitoring in fog computing based medical applications
TL;DR: Developed textile electrode with knitted structure and conductive material comprising cotton /nylon fiber coated silver is investigated and can be useful for future research to offer the balance for SQC ratio for ECG measurement in fog computing based healthcare systems.