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ThinkMind // International Journal On Advances in Networks and Services, volume 13, numbers 3 and 4, 2020

Type: journal

Notes: A free access journal featuring works submitted on an invitation basis only.

Event editions: - there are 26 editions.

ISSN: 1942-2644

Articles: there are 7 articles

Theoretical Models for Underwater RFID and the Impact of Water Salinity on the Design of Wireless Systems
Caroline Peres, Melusine Pigeon, Nadeem Rather, Dinesh Gawade, John Buckley, Hamed Jafarzadeh, and Brendan O'Flynn
keywords: RFID; underwater wireless communications; underwater RFID; near-field communication; magnetic induction; salinity.

Suppressing Interference Between Periodic and Non-Periodic Traffic in Wireless Coexistence Scenarios
Ryota Ikeuchi and Hiroyuki Yomo
keywords: Wireless Coexistence; Factory Automation; IEEE 802.11; IEEE 802.15.4; Internet of Things; Experimental Studies

Teaching Machines to Understand Urban Networks: A Graph Autoencoder Approach
Maria Coelho, Mark Austin, Shivam Mishra, and Mark Blackburn
keywords: Systems Engineering; Machine Learning; Graph Embeddings; Graph Autoencoders; Digital Twins; Water Distribution Systems.

Evaluation of Vehicle Position Estimation Method Combining Roadside Vehicle Detector and In-vehicle Sensors
Shunya Yamada, Yousuke Watanabe, and Hiroaki Takada
keywords: Sensor fusion; Position estimation; Communication delays; Intelligent transportation system.

Near-Ground IEEE 802.11 b/g/n Coverage Design for Precision Agriculture
Marta Botella-Campos, José Miguel Jiménez, Sandra Sendra, and Jaime Lloret
keywords: Wireless Coverage; IEEE 802.11; Precision agriculture; Propagation Losses; Propagation Model

Performance Comparison of Wireless pH Sensor Modules for Application to Health Monitoring
Lan Zhang, Jian Lu, and Ryutaro Maeda
keywords: pH; field effect transistor; health condition; calibration; radio frequency; Bluetooth

Machine Learning-based Classification and Generation of Vibrotactile Information
Satoshi Saga, Shotaro Agatsuma, Simona Vasilache, and Shin Takahashi
keywords: Tactile Information; Machine Learning; Convolutional Neural Network; Generative Adversarial Network

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