Inmaculada Gomez-Rios, Esteban Egea-Lopez, Antonio José Ortiz Ruiz
ORIENTATE: automated machine learning classifiers for oral health prediction and research
BMC oral health
study presents novel audio compression technique tailored environmental monitoring within multimodal data processing pipelines considering crucial role audio data play environmental evaluations particularly contexts extreme resource limitations strategy substantially decreases bit rates facilitate efficient data transfer storage accomplished without undermining accuracy necessary trustworthy air pollution analysis simultaneously minimizing processing expenses specifically approach fuses deeplearningbased model optimized edge devices along conventional coding schema audio compression transmitted cloud compressed data undergo decoding process leveraging vast cloud computing resources accurate reconstruction classification experimental results indicate approach leads relatively minor decrease accuracy even notably low bit rates demonstrates strong robustness identifying data labels included training dataset