9 citations · 26 across the 16 of their papers we have counts for
6 papers · 1 filter
Link-Aware Energy-Frugal Continual Learning for Fault Detection in IoT Networks
Henrik C. M. Frederiksen, Junya Shiraishi, Cedomir Stefanovic +2
The use of lightweight machine learning (ML) models in internet of things (IoT) networks enables resource constrained IoT devices to perform on-device inference for several critica…
Wireless Memory Approximation for Energy-efficient Task-specific IoT Data Retrieval
Junya Shiraishi, Shashi Raj Pandey, Israel Leyva-Mayorga +1
The use of Dynamic Random Access Memory (DRAM) for storing Machine Learning (ML) models plays a critical role in accelerating ML inference tasks in the next generation of communica…
Online Reliable Anomaly Detection via Neuromorphic Sensing and Communications
Junya Shiraishi, Jiechen Chen, Osvaldo Simeone +1
This paper proposes a low-power online anomaly detection framework based on neuromorphic wireless sensor networks, encompassing possible use cases such as brain-machine interfaces…
Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint
Takaho Shimokasa, Hiroyuki Yomo, Federico Chiariotti +2
This paper investigates how to achieve both low-power operations of sensor nodes and accurate state estimation using Kalman filter for internet of things (IoT) monitoring employing…
Dual-Mode Wireless Devices for Adaptive Pull and Push-Based Communication
Sara Cavallero, Fabio Saggese, Junya Shiraishi +4
This paper introduces a dual-mode communication framework for wireless devices that integrates query-driven (pull) and event-driven (push) transmissions within a unified time-frame…
Medium Access for Push-Pull Data Transmission in 6G Wireless Systems
Shashi Raj Pandey, Fabio Saggese, Junya Shiraishi +2
Medium access in 5G systems was tailored to accommodate diverse traffic classes through network resource slicing. 6G wireless systems are expected to be significantly reliant on Ar…