Demo : Synthetic Data for Data-Driven Wireless

The fundamental bottleneck in adapting data-driven wireless solutions to real world is the lack of tools for augmenting good quality data which is environment-specific. Indeed, much of the data required for popular data-driven wireless communication and sensing systems requires domain expertise beyond the reach of an average consumer. This demo presents a radical new vision for generating synthetic data in consumer-specific environments by leveraging the power of modern compute.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3701545
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Demo : Synthetic Data for Data-Driven Wireless

Akshay Gadre, Q Li, Sun Xh
Energy Efficient Wireless Sensor Networks
article

Demo : Synthetic Data for Data-Driven Wireless

Akshay Gadre, Q Li, Sun Xh
article en

Abstract

The fundamental bottleneck in adapting data-driven wireless solutions to real world is the lack of tools for augmenting good quality data which is environment-specific. Indeed, much of the data required for popular data-driven wireless communication and sensing systems requires domain expertise beyond the reach of an average consumer. This demo presents a radical new vision for generating synthetic data in consumer-specific environments by leveraging the power of modern compute.

University of Washington (US)
Openalex Percentile: Top 75%
Energy Efficient Wireless Sensor Networks
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Demo : Synthetic Data for Data-Driven Wireless — Akshay Gadre, Q Li, et al. · (2024) | TGRS Research Map | TGRS