Eight years of AutoML: categorisation, review and trends

R Barbudo, S Ventura, JR Romero - Knowledge and Information Systems, 2023‏ - Springer
Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …

Transfer learning for bayesian optimization: A survey

T Bai, Y Li, Y Shen, X Zhang, W Zhang… - ar** countries, the contribution of agriculture to gross domestic product is
significant. Plant disease is one of the major factors that adversely affect crop yield …

Data-driven friction force prediction model for hydraulic actuators using deep neural networks

S Han, G Orzechowski, JG Kim, A Mikkola - Mechanism and Machine …, 2024‏ - Elsevier
Hydraulic actuators convert fluid pressure into mechanical motion. They are widely used in
many industrial and aerospace applications due to their reliability, high speed, high force …

Bayesian optimized GoogLeNet based respiratory signal prediction model from empirically decomposed gammatone visualization

S Jayalakshmy, B Lakshmipriya, GF Sudha - Biomedical Signal Processing …, 2023‏ - Elsevier
Discrimination of normal and adventitious respiratory sounds from stethoscope auscultation
by human ears is challenging owing to low frequency characteristics and varying frequency …