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Tiny Machine Learning (TinyML): Research trends and future application opportunities
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-66770-2_20openalex-snapshot
ML Training on a Tiny Microcontroller for a Self-adaptive Neural Network-Based DC Motor Speed Controller
inferredcites →https://doi.org/10.1007/978-3-031-26066-7_23openalex-snapshot
A 0.8 mW TinyML-Based PDM-to-PCM Conversion for In-Sensor KWS Applications
inferredcites →https://doi.org/10.1007/s11042-023-16740-9openalex-snapshot
TinyML: Tools, applications, challenges, and future research directions
inferredcites →https://doi.org/10.1007/s11192-015-1645-zopenalex-snapshot
The bibliometric analysis of scholarly production: How great is the impact?
inferredcites →https://doi.org/10.1016/j.adhoc.2023.103348openalex-snapshot
A review of on-device machine learning for IoT: An energy perspective
inferredcites →https://doi.org/10.1016/j.cose.2022.103058openalex-snapshot
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
inferredcites →https://doi.org/10.1108/jeim-09-2020-0361openalex-snapshot
Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research
inferredcites →https://doi.org/10.1108/jeim-12-2019-0381openalex-snapshot
Sustainable supply chain management under big data: a bibliometric analysis
inferredcites →https://doi.org/10.1109/3ict56508.2022.9990661openalex-snapshot
How TinyML Can be Leveraged to Solve Environmental Problems: A Survey
inferredcites →https://doi.org/10.1109/aicas57966.2023.10168657openalex-snapshot
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers
inferredcites →https://doi.org/10.1109/gcwkshps52748.2021.9682101openalex-snapshot
Evaluating the practical limitations of TinyML: an experimental approach
inferredcites →https://doi.org/10.1109/icaiic54071.2022.9722636openalex-snapshot
TinyML: A Systematic Review and Synthesis of Existing Research
inferredcites →https://doi.org/10.1109/iceca55336.2022.10009197openalex-snapshot
A TinyML based Residual Binarized Neural Network for real-time Image Classification
inferredcites →https://doi.org/10.1109/ichi54592.2022.00047openalex-snapshot
tinyCare: A tinyML-based Low-Cost Continuous Blood Pressure Estimation on the Extreme Edge
inferredcites →https://doi.org/10.1109/icufn55119.2022.9829675openalex-snapshot
TinyML Smart Sensor for Energy Saving in Internet of Things Precision Agriculture platform
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9533927openalex-snapshot
TinyOL: TinyML with Online-Learning on Microcontrollers
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892925openalex-snapshot
TinyML for UWB-radar based presence detection
inferredcites →https://doi.org/10.1109/jsen.2022.3210773openalex-snapshot
Machine Learning for Microcontroller-Class Hardware: A Review
inferredcites →https://doi.org/10.1109/mcas.2020.3005467openalex-snapshot
TinyML-Enabled Frugal Smart Objects: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/percomworkshops53856.2022.9767250openalex-snapshot
TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices
inferredcites →https://doi.org/10.1109/smartcomp50058.2020.00076openalex-snapshot
Tiny Neural Networks for Environmental Predictions: An Integrated Approach with Miosix
inferredcites →https://doi.org/10.1109/smartiot52359.2021.00051openalex-snapshot
TrafficNNode: Low Power Vehicle Sensing Platform for Smart Cities
inferredcites →https://doi.org/10.1109/tbcas.2022.3196059openalex-snapshot
A 746 nW ECG Processor ASIC Based on Ternary Neural Network
inferredcites →https://doi.org/10.1109/tce.2024.3482353openalex-snapshot
TinyML for Empowering Low-Power IoT Edge Consumer Devices
inferredcites →https://doi.org/10.1145/3503823.3503836openalex-snapshot
A Review of Machine Learning and TinyML in Healthcare
inferredcites →https://doi.org/10.1145/3528227.3528569openalex-snapshot
Software engineering approaches for TinyML based IoT embedded vision
inferredcites →https://doi.org/10.1145/3575879.3575994openalex-snapshot
A TinyML-based System For Smart Agriculture
inferredcites →https://doi.org/10.1145/3583683openalex-snapshot
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
inferredcites →https://doi.org/10.1145/3603173openalex-snapshot
XimSwap: Many-to-Many Face Swapping for TinyML
inferredcites →https://doi.org/10.1145/3661820openalex-snapshot
A Review on the emerging technology of TinyML
inferredcites →https://doi.org/10.11591/ijece.v13i5.pp5727-5736openalex-snapshot
A multi-microcontroller-based hardware for deploying Tiny machine learning model
inferredcites →https://doi.org/10.3390/fi14120363openalex-snapshot
TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review
inferredcites →https://doi.org/10.3390/fi16110391openalex-snapshot
Empowering Healthcare: TinyML for Precise Lung Disease Classification
inferredcites →https://doi.org/10.3390/s21124153openalex-snapshot
An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity
inferredcites →https://doi.org/10.3390/s21134412openalex-snapshot
An Overview of Machine Learning within Embedded and Mobile Devices–Optimizations and Applications
inferredcites →https://doi.org/10.3390/s21155218openalex-snapshot
LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices
inferredcites →https://doi.org/10.3390/s22103838openalex-snapshot
A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions
inferredcites →https://doi.org/10.3390/s23042344openalex-snapshot
An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments
inferredcites →https://doi.org/10.61801/ouaess.2022.1.113openalex-snapshot
Scientific Contextualization of the Public Policy and Entrepreneurship Nexus
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70826openalex-snapshot
Design and Evaluation of Energy‐Efficient Whisper Dot‐Product Kernel Offloading on a CGLA Architecture
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.118039openalex-snapshot
Data-driven control of split heat-pump system based on thermal preference prediction
inferred← citeshttps://doi.org/10.1016/j.nxmate.2026.103313openalex-snapshot
Advanced materials processing and non-destructive evaluation for next-generation hydrogen storage systems: A review of protective coatings, membranes, and composite structures
inferred← citeshttps://doi.org/10.1109/icscai68849.2026.11648998openalex-snapshot
The Technical Road Map for the Implementation of Smart Home using ML Algorithms
inferred← citeshttps://doi.org/10.1109/infoteh68759.2026.11477755openalex-snapshot
Beyond the Tip of the Iceberg: Submerged Mathematical and Engineering Challenges in Applied Artificial Intelligence Systems
inferred← citeshttps://doi.org/10.3390/chips5030019openalex-snapshot
Edge-Intelligent IoT Framework for Real-Time Adaptive Monitoring and Trust-Aware Secure Decision Validation Using Resource-Aware AI/ML on Embedded Chips
inferred← citeshttps://doi.org/10.3390/digital6030073openalex-snapshot
Edge AI Gas-Sensing Project in Vocational Education: A Mixed-Methods Study of Problem-Solving Attitudes
inferred← citeshttps://doi.org/10.3390/electronics15040852openalex-snapshot
Resource-Efficient Telemetry-Based Condition Monitoring with Digitally Configurable DC/DC Converters and Embedded AI
inferred← citeshttps://doi.org/10.3390/s26154916openalex-snapshot
An Energy-Efficient Hybrid LoRa–Wi-Fi Architecture for Real- Time Water Quality Monitoring and Machine Learning-Based Trend Forecasting
inferred← citeshttps://doi.org/10.48084/etasr.19973openalex-snapshot
Knowledge Distillation and Quantization-Aware Compression for Remaining Useful Life Prediction on Resource-Constrained IoT Devices
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