A neural network-based low-cost solar irradiance sensor

F Mancilla-David, F Riganti-Fulginei… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Measuring solar irradiance allows for direct maximization of the efficiency in photovoltaic
power plants. However, devices for solar irradiance sensing, such as pyranometers and …

Development of nano fiber MnO2 thin film electrode and cyclic voltammetry behavior modeling using artificial neural network for supercapacitor application

TD Dongale, PR Jadhav, GJ Navathe, JH Kim… - Materials Science in …, 2015 - Elsevier
This paper deals with the fabrication of MnO 2 supercapacitor and modeling of cyclic
voltammetery using Artificial Neural Network (ANN). Nano fiber MnO 2 (NF-MnO 2) films …

Boron-doped sucrose carbons for supercapacitor electrode: artificial neural network-based modelling approach

A Fallah, AA Oladipo, M Gazi - Journal of Materials Science: Materials in …, 2020 - Springer
Here, a simple yet efficient and economic strategy were demonstrated for the production of
multiporous boric acid-doped sucrose carbon (B x–pC) for supercapacitor application. The …

Experimental analysis of the current sensor fault detection mechanism based on neural networks in the PMSM drive system

K Jankowska, M Dybkowski - Electronics, 2023 - mdpi.com
In this paper, a current sensor fault detection mechanism based on multilayer perceptron
(MLP) in a permanent magnet synchronous motor (PMSM) drive system is presented. The …

Real-time neural networks implementation proposal for microcontrollers

CJBV Guimarães, MAC Fernandes - Electronics, 2020 - mdpi.com
The adoption of intelligent systems with Artificial Neural Networks (ANNs) embedded in
hardware for real-time applications currently faces a growing demand in fields such as the …

Embedded decision support system for ultrasound nondestructive evaluation based on extreme learning machines

LC Silva, EF Simas Filho, MCS Albuquerque… - Computers & Electrical …, 2021 - Elsevier
Decision support systems for nondestructive evaluation of defects are often trained on a
personal computer environment, which may slow the assessment task. This work …

Recipient size estimation for induction heating home appliances based on artificial neural networks

A Bono-Nuez, C Bernal-Ruíz, B Martín-del-Brío… - Neural Computing and …, 2017 - Springer
In induction home appliances, recipient size estimation is very important for the adjustment
of the power that the hob must supply to the cooking recipient. Conventional techniques first …

Yapay Sinir Ağları ile aydınlık kalitesi kontrolü

M Şahin, F Büyüktümtürk, Y Oğuz - Afyon Kocatepe Üniversitesi Fen …, 2013 - dergipark.org.tr
Bir aydınlatma sisteminde zaman içerisinde aydınlatma elemanlarının verimlerinin düşmesi,
yıpranma, kirlenme, tozlanma gibi etkenler, çalışma düzlemi üzerindeki aydınlık düzeyi …

An inexpensive embedded electronic continuous stirred tank reactor (CSTR) based on neural networks

LS Saoud, F Rahmoune, V Tourtchine… - 2011 International …, 2011 - ieeexplore.ieee.org
The high nonlinearity and the high cost of the Continuous Stirred Tank Reactor (CSTR)
system need to realize a low cost embedded system based on an inexpensive …

Optimization of MLP Neural Networks in 8-bit Microcontrollers using Program Memory

CJBV Guimarães, MF Torquato… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
This work proposes a memory optimization technique for embedded Multi-Layer Perceptron
(MLP) Artificial Neural Networks (ANNs) applications in a Microcontroller (µC) device as …