Edge intelligence: Challenges and opportunities of near-sensor machine learning applications

G Plastiras, M Terzi, C Kyrkou… - 2018 ieee 29th …, 2018 - ieeexplore.ieee.org
The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …
被引用次数：121 相关文章

[引用][C] Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning Applications

G Plastiras, M Terzi, C Kyrkou… - 2018 IEEE 29th …, 2018 - cir.nii.ac.jp
Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning
Applications | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning Applications

G Plastiras, M Terzi, C Kyrkou… - 2018 IEEE 29th …, 2018 - computer.org
The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …

Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning Applications

G Plastiras, M Terzi, C Kyrkou… - 2018 IEEE 29th …, 2018 - store.computer.org
The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …

Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning Applications

G Plastiras, M Terzi, C Kyrkou, T Theocharides - openreview.net
The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …
[PDF] researchgate.net

[PDF][PDF] Edge Intelligence: Challenges and Opportunities of Near-Sensor Machine Learning Applications

G Plastiras, M Terzi, C Kyrkou, T Theocharides - researchgate.net
The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …