Real-Time Air Quality Predictions for Smart Cities using TinyML

Author:

Datta Arko1ORCID,Pal Aniruddha2ORCID,Marandi Ranbir3ORCID,Chattaraj Nilanjan3ORCID,Nandi Subrata1ORCID,Saha Sujoy1ORCID

Affiliation:

1. Computer Science and Engineering, NIT Durgapur, India

2. Computer Science and Engineering, Bengal College of Engineering and Technology, India

3. Electronics and Communication Engineering, NIT Durgapur, India

Publisher

ACM

Reference6 articles.

1. A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions

2. Ji Lin Wei-Ming Chen Yujun Lin John Cohn Chuang Gan and Song Han. 2020. MCUNet: Tiny Deep Learning on IoT Devices.

3. Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan and Song Han. 2022. On-Device Training Under 256KB Memory.

4. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

5. AQuaMoHo : Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI-Driven CHD Detection Using an Ultra-Low Power Embedded System;2024 35th Irish Signals and Systems Conference (ISSC);2024-06-13

2. TinyML enabled smart parking dynamic slots computing and license plate recognition;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

3. A Survey on Adaptive Smart Urban Systems;IEEE Access;2024

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