Table of Contents, vol 13, no 3&4, year 2020

pages: 45 - 59
Theoretical Models for Underwater RFID and the Impact of Water Salinity on the Design of Wireless Systems
Caroline Peres, Tyndall National Institute, Ireland
Melusine Pigeon, Tyndall National Institute, Ireland
Nadeem Rather, Tyndall National Institute, Ireland
Dinesh Gawade, Tyndall National Institute, Ireland
John Buckley, Tyndall National Institute, Ireland
Hamed Jafarzadeh, Tyndall National Institute, Ireland
Brendan O'Flynn, Tyndall National Institute, Ireland

pages: 60 - 69
Suppressing Interference Between Periodic and Non-Periodic Traffic in Wireless Coexistence Scenarios
Ryota Ikeuchi, Kansai University, Japan
Hiroyuki Yomo, Kansai University, Japan

pages: 70 - 81
Teaching Machines to Understand Urban Networks: A Graph Autoencoder Approach
Maria Coelho, University of Maryland, United States
Mark Austin, University of Maryland, United States
Shivam Mishra, University of Maryland, United States
Mark Blackburn, Stevens Institute of Technology, United States

pages: 82 - 93
Evaluation of Vehicle Position Estimation Method Combining Roadside Vehicle Detector and In-vehicle Sensors
Shunya Yamada, Institutes of Innovation for Future Society, Japan
Yousuke Watanabe, Institutes of Innovation for Future Society, Japan
Hiroaki Takada, Institutes of Innovation for Future Society, Japan

pages: 94 - 107
Near-Ground IEEE 802.11 b/g/n Coverage Design for Precision Agriculture
Marta Botella-Campos, Instituto de Investigación para la Gestión Integrada de zonas Costeras (IGIC), Spain
José Miguel Jiménez, Instituto de Investigación para la Gestión Integrada de zonas Costeras (IGIC), Spain
Sandra Sendra, Instituto de Investigación para la Gestión Integrada de zonas Costeras (IGIC), Spain
Jaime Lloret, Instituto de Investigación para la Gestión Integrada de zonas Costeras (IGIC), Spain

pages: 108 - 114
Performance Comparison of Wireless pH Sensor Modules for Application to Health Monitoring
Lan Zhang, National Institute of Advanced Industrial Science and Technology (AIST), Japan
Jian Lu, National Institute of Advanced Industrial Science and Technology (AIST), Japan
Ryutaro Maeda, National Institute of Advanced Industrial Science and Technology (AIST), Japan

pages: 115 - 124
Machine Learning-based Classification and Generation of Vibrotactile Information
Satoshi Saga, Kumamoto University, Japan
Shotaro Agatsuma, University of Tsukuba, Japan
Simona Vasilache, University of Tsukuba, Japan
Shin Takahashi, University of Tsukuba, Japan

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