Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm

Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial intelligence (AI) models. In this work, we have achieved high performance in a gas sensor system using Convolutional Neural Network (CNN) with a sm...

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Bibliographic Details
Main Authors:	Almalki, F.A (Author), Alsamhi, S.H (Author), Chaudhri, S.N (Author), Rajput, N.S (Author), Shvetsov, A.V (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	6g-IoT 6G-IoT Acetone artificial intelligence Benchmarking Constrained optimization Convolution Convolutional neural network convolutional neural networks Data handling electronic nose Electronic nose Gas detectors gas sensor array Gas sensor arrays Gases Gas-sensors Internet of things Learning algorithms machine learning Machine learning Mean square error pattern recognition Pattern recognition Performance Sensor elements sixth-generation wireless communication technology (6G) Sixth-generation wireless communication technology (6g) spatial augmentation Spatial augmentation Wireless communication technology Zero padding zero-padding
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by Almalki, F.A, Alsamhi, S.H, Chaudhri, S.N, Rajput, N.S, Shvetsov, A.V
Published 2022

View Fulltext in Publisher

Article

Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm

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