LLMatic: neural architecture search via large language models and quality diversity optimization

MU Nasir, S Earle, J Togelius, S James… - proceedings of the …, 2024 - dl.acm.org
Large language models (LLMs) have emerged as powerful tools capable of accomplishing a
broad spectrum of tasks. Their abilities span numerous areas, and one area where they …

Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries

EDR Lopes, MM Soudre, CH Llanos… - Journal of Energy …, 2023 - Elsevier
An important component of electric vehicles is the Battery Management System (BMS),
whose main objective is to monitor the state of charge (SoC) of the battery, which can …

[HTML][HTML] Sensor fusion to estimate the depth and width of the weld bead in real time in GMAW processes

GA Bestard, RC Sampaio, JAR Vargas, SCA Alfaro - Sensors, 2018 - mdpi.com
The arc welding process is widely used in industry but its automatic control is limited by the
difficulty in measuring the weld bead geometry and closing the control loop on the arc, which …

[HTML][HTML] Hardware-based activation function-core for neural network implementations

G González-Díaz_Conti, J Vázquez-Castillo… - Electronics, 2021 - mdpi.com
Today, embedded systems (ES) tend towards miniaturization and the carrying out of
complex tasks in applications such as the Internet of Things, medical systems …

Data-driven real-time magnetic tracking applied to myokinetic interfaces

SP Mendez, M Gherardini… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
A new concept of human-machine interface to control hand prostheses based on
displacements of multiple magnets implanted in the limb residual muscles, the myokinetic …

Improved stress estimation with machine learning and ultrasonic guided waves

CD Villares Holguin, HV Hultmann Ayala… - Experimental …, 2022 - Springer
Background Due to the acoustoelastic effect, ultrasonic guided waves have been used to
estimate mechanical stress in a cheap and nondestructive fashion. Machine learning has …

Dynamic Reconfiguration for Multi-Magnet Tracking in Myokinetic Prosthetic Interfaces

SA Pertuz, DA Mendes, M Gherardini… - … on Medical Robotics …, 2024 - ieeexplore.ieee.org
Recently myokinetic interfaces have been proposed to exploit magnet tracking for controlling
bionic prostheses. This interface derives information about muscle contractions from …

A novel GPU-based approach for embedded NARMAX/FROLS system identification

MM Soudré, HVH Ayala, AC Melo, CH Llanos - Mechanical Systems and …, 2024 - Elsevier
Identifying system dynamics is an essential task for several research areas that deal with
real systems intended for purposes such as control, monitoring, or fault detection. However …

[PDF][PDF] Implementation and Design of 32 Bit Floating-Point ALU on a Hybrid FPGA-ARM Platform

B Özkılbaç, T Karacalı - Journal of Brilliant Engineering, 2021 - acapublishing.com
FPGAs have capabilities such as low power consumption, multiple I/O pins, and parallel
processing. Because of these capabilities, FPGAs are commonly used in numerous areas …

Implementation of multi-precision floating point divider for high speed signal processing applications

CRS Hanuman, J Kamala, AR Aruna - The Journal of Supercomputing, 2019 - Springer
The introduction of fused multiplier and add technique enhances design metrics of floating
point (FP) arithmetic operations. Particularly Newton–Raphson (NR) based division …