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Real-time Neural Networks Implementation Proposal for Microcontrollers

https://doi.org/10.3390/electronics9101597

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/eng2.12231openalex-snapshot

Embedded genetic algorithm for low‐power, low‐cost, and low‐size‐memory devices

inferredcites →https://doi.org/10.1007/978-981-15-1420-3_35openalex-snapshot

Microcontroller Based ANN for Pick and Place Robot Coordinate Monitoring System

inferredcites →https://doi.org/10.1007/s00521-010-0377-5openalex-snapshot

A neural network based on an inexpensive eight-bit microcontroller

inferredcites →https://doi.org/10.1016/j.compchemeng.2020.106736openalex-snapshot

Benchmark temperature microcontroller for process dynamics and control

inferredcites →https://doi.org/10.1016/j.micpro.2019.06.007openalex-snapshot

A parallel implementation of sequential minimal optimization on FPGA

inferredcites →https://doi.org/10.1016/j.micpro.2020.103090openalex-snapshot

A microcontroller based machine vision approach for tomato grading and sorting using SVM classifier

inferredcites →https://doi.org/10.1016/j.neucom.2010.03.021openalex-snapshot

Artificial neural networks in hardware: A survey of two decades of progress

inferredcites →https://doi.org/10.1016/j.sysarc.2007.06.005openalex-snapshot

Applying neural networks to performance estimation of embedded software

inferredcites →https://doi.org/10.1088/1742-6596/1464/1/012034openalex-snapshot

Traffic Light Regulatory System Based on Fuzzy Algorithm Using Microcontroller

inferredcites →https://doi.org/10.1109/access.2018.2885950openalex-snapshot

Parallel Implementation of Reinforcement Learning Q-Learning Technique for FPGA

inferredcites →https://doi.org/10.1109/iccae.2010.5451340openalex-snapshot

A low cost microcontroller implementation of neural network based hurdle avoidance controller for a car-like robot

inferredcites →https://doi.org/10.1109/icece.2010.873openalex-snapshot

Design of Embedded Control System Based on ARM9 Microcontroller

inferredcites →https://doi.org/10.1109/icl.2012.6402096openalex-snapshot

Microcontroller technologies in low power applications

inferredcites →https://doi.org/10.1109/ines.2008.4481278openalex-snapshot

A Neural Network Implementation on an Inexpensive Eight Bit Microcontroller

inferredcites →https://doi.org/10.1109/jsen.2019.2896251openalex-snapshot

A Combination of Astable Multivibrator and Microcontroller for Thermistor-Based Temperature Measurement Over Internet

inferredcites →https://doi.org/10.1109/tie.2010.2098377openalex-snapshot

Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers

inferredcites →https://doi.org/10.1109/tim.2013.2282005openalex-snapshot

A Neural Network-Based Low-Cost Solar Irradiance Sensor

inferredcites →https://doi.org/10.1109/tnnls.2015.2460991openalex-snapshot

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers

inferredcites →https://doi.org/10.1166/asl.2018.11631openalex-snapshot

Development of Arduino Microcontroller Based Non-Intrusive Appliances Monitoring System Using Artificial Neural Network

inferredcites →https://doi.org/10.1177/0954408919885678openalex-snapshot

Design of microcontroller-based decentralized controller board to drive chiller systems using PID and fuzzy logic algorithms

inferredcites →https://doi.org/10.3390/s141018223openalex-snapshot

Parallel Fixed Point Implementation of a Radial Basis Function Network in an FPGA

inferredcites →https://doi.org/10.3390/s141019176openalex-snapshot

Platform for Real-Time Simulation of Dynamic Systems and Hardware-in-the-Loop for Control Algorithms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Reliability and Performance Study of Neural Networks on Resource-Constrained Platforms

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Lightweight explainable energy-aware deep learning-based task scheduling for microcontroller embedded systems

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FPGA-based implementation of deep neural network using stochastic computing

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inferred← citeshttps://doi.org/10.1109/ibitec66306.2025.11473216openalex-snapshot

Compact Multi-Layer Perceptron Model for Arrhythmia Classification on ARM Microcontrollers

inferred← citeshttps://doi.org/10.1109/icc45041.2023.10278766openalex-snapshot

Survey and Enhancements on Deploying LSTM Recurrent Neural Networks on Embedded Systems

inferred← citeshttps://doi.org/10.1109/iccep65222.2025.11143649openalex-snapshot

State of Charge Estimation Using a Neural Network for a Battery-Powered DC-DC Converter System

inferred← citeshttps://doi.org/10.3390/electronics10222878openalex-snapshot

Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice

inferred← citeshttps://doi.org/10.3390/electronics12051170openalex-snapshot

Experimental Analysis of the Current Sensor Fault Detection Mechanism Based on Neural Networks in the PMSM Drive System

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Towards a Machine Learning Smart Toy Design for Early Childhood Geometry Education: Usability and Performance

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A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations

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Smart Cognitive IoT Devices Using Multi-Layer Perception Neural Network on Limited Microcontroller

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Sustainable Hydroponic Strawberry Growth by Minimizing Waste Through Nutrient Solution Approximation Using an Artificial Neural Network

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