TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review
Authors
Keywords
-
Journal
Future Internet
Volume 14, Issue 12, Pages 363
Publisher
MDPI AG
Online
2022-12-06
DOI
10.3390/fi14120363
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions
- (2022) Pedro Andrade et al. SENSORS
- New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
- (2022) M. M. Kamruzzaman et al. Journal of Healthcare Engineering
- TinyML: Enabling of Inference Deep Learning Models on Ultra-Low-Power IoT Edge Devices for AI Applications
- (2022) Norah N. Alajlan et al. Micromachines
- Enhancing Food Supply Chain Security through the Use of Blockchain and TinyML
- (2022) Vasileios Tsoukas et al. Information (Switzerland)
- Tiny Machine Learning (Tiny-ML) for Efficient Channel Estimation and Signal Detection
- (2022) Hongfu Liu et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Hardware Deployable Edge-AI Solution for Prescreening of Oral Tongue Lesions Using TinyML on Embedded Devices
- (2022) Mohammed Zubair M. Shamim IEEE Embedded Systems Letters
- Edge computing: current trends, research challenges and future directions
- (2021) Gonçalo Carvalho et al. COMPUTING
- Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles
- (2021) Miguel de Prado et al. SENSORS
- Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices
- (2021) Gianluca Cornetta et al. Electronics
- Collaborative Edge Computing for Smart Villages [Energy and Security]
- (2021) Deepak Puthal et al. IEEE Consumer Electronics Magazine
- An Overview of Machine Learning within Embedded and Mobile Devices–Optimizations and Applications
- (2021) Taiwo Samuel Ajani et al. SENSORS
- LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices
- (2021) Ramon Sanchez-Iborra SENSORS
- An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity
- (2021) Gabriel Signoretti et al. SENSORS
- Comparison of LPWAN Technologies: Cost Structure and Scalability
- (2021) Mohammad Istiak Hossain et al. WIRELESS PERSONAL COMMUNICATIONS
- Hardware/Software Co-Design for TinyML Voice-Recognition Application on Resource Frugal Edge Devices
- (2021) Jisu Kwon et al. Applied Sciences-Basel
- SmallSats: a new technological frontier in ecology and conservation?
- (2021) David J. Curnick et al. Remote Sensing in Ecology and Conservation
- Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning
- (2021) Wei Yang Bryan Lim et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- A Federated Learning Framework for Detecting False Data Injection Attacks in Solar Farms
- (2021) Liang Zhao et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Information fusion for edge intelligence: A survey
- (2021) Yin Zhang et al. Information Fusion
- Machine Learning on Mainstream Microcontrollers
- (2020) Fouad Sakr et al. SENSORS
- Edge Machine Learning for AI-Enabled IoT Devices: A Review
- (2020) Massimo Merenda et al. SENSORS
- FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
- (2020) Xiaying Wang et al. IEEE Internet of Things Journal
- Edge computing for Internet of Things: A survey, e-healthcare case study and future direction
- (2019) Partha Pratim Ray et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Software Defined IoT Systems: Properties, State of the Art, and Future Research
- (2019) Pritish Mishra et al. IEEE WIRELESS COMMUNICATIONS
- A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems
- (2019) Lalit Chettri et al. IEEE Internet of Things Journal
- Image and Video Compression With Neural Networks: A Review
- (2019) Siwei Ma et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
- (2018) Qian Mao et al. IEEE Communications Surveys and Tutorials
- The Internet of Moving Things [Industry View]
- (2018) Rui Costa IEEE TECHNOLOGY AND SOCIETY MAGAZINE
- From data to big data in production research: the past and future trends
- (2018) Yong-Hong Kuo et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0
- (2017) Martin Wollschlaeger et al. IEEE Industrial Electronics Magazine
- Seamless IPv6 connectivity for two-wheelers
- (2017) José Santa et al. Pervasive and Mobile Computing
- A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications
- (2017) Jie Lin et al. IEEE Internet of Things Journal
- Massive machine-type communications in 5g: physical and MAC-layer solutions
- (2016) Carsten Bockelmann et al. IEEE COMMUNICATIONS MAGAZINE
- Next Generation 5G Wireless Networks: A Comprehensive Survey
- (2016) Mamta Agiwal et al. IEEE Communications Surveys and Tutorials
- Internet of Things in the 5G Era: Enablers, Architecture, and Business Models
- (2016) Maria Rita Palattella et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now