Results 181 to 190 of about 145,155 (289)

Artificial neural network based predictive modeling of viscosity of an oil based hybrid nanofluid. [PDF]

MethodsX
Furqan M, Raees F, Khalid M.
europepmc   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Robot steering-angle prediction lightweight network based non-local attention and lane guidance. [PDF]

PLoS One
Niu J, Zheng J, Shen C, Gao G, Song G, Liu S, Wang Y.   +6 more
europepmc   +1 more source

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

Advanced Intelligent Systems, EarlyView.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao, Jian Chen, Guangyuan Zang, Yang Li   +3 more
wiley   +1 more source

Artificial Intelligence (AI) in rheumatology: a comparative evaluation of the ChatGPT and DeepSeek application. [PDF]

BMC Rheumatol
Polyzou M, Baraliakos X.
europepmc   +1 more source

BLDC motor's speed and torque modelling through hybrid machine learning based approach of nonlinear autoregressive neural network with exogenous inputs (NARX-NN). [PDF]

PLoS One
Khan MA, Ali H, Baig DE, Albogamy FR.
europepmc   +1 more source

Comparison of the goodness of fit and shared torque–velocity parameters derived from each regression model. Coefficients of determination (R²) are reported as means and ranges, while mean square errors (MSE) are presented as means ± standard deviations.

Jessica Rial-Vázquez (19845958), Alejandra Camacho-Villa (21627470), Sonia Liliana Rivera-Mejía (21627473), Iván Nine (19845955), María Rúa-Alonso (19845961), Juan Fariñas (13978125), Borja Revuelta-Lera (21627476), Eliseo Iglesias-Soler (515814)   +7 more
openalex   +1 more source

MS-YieldStackNet: multi-source data fusion for wheat yield estimation using a stacked ensemble neural network. [PDF]

PeerJ Comput Sci
Ali W, Ramzan Z, Shahbaz M, Bhutta QUZ, Talha M, J AlGhamdi M.   +5 more
europepmc   +1 more source