Results 141 to 150 of about 3,612,587 (208)

Measurement Method for Mold Slag Thickness in Continuous Casting Mold Using Millimeter-Wave Radar and Eddy Current Sensors. [PDF]

Sensors (Basel)
An Y, Wang Z, Xiao J.
europepmc   +1 more source

Early Detection of Glottic Cancer Through Machine Learning and Acoustic Voice Analysis: A Systematic Review. [PDF]

Med Sci (Basel)
Verma H, Mishra R, Nagamani B, Patro SK, Ramavat AS, Bakshi J, Khandnor P, Rani S, Chand T.   +8 more
europepmc   +1 more source

Predicting competitive outcomes in professional e-sports from 60-second pre-match voice acoustics using machine learning. [PDF]

Front Psychol
Kadri G, Santos RIM, Aguiar FO, Otani VHO, Uchida RR, Marques LM.   +5 more
europepmc   +1 more source

Overcoming Data Scarcity: Few-Shot Pig Vocalization Recognition via Domain Expansion, Knowledge Transfer, and Feature Alignment. [PDF]

Animals (Basel)
Li G, Liu W.
europepmc   +1 more source

A lightweight hybrid attention network with multi-scale feature integration for intelligent recognition of underwater acoustic targets. [PDF]

Sci Rep
Mahmud NA, Zhang T, Iqbal Y, Sumona FB, Iqbal A, Geng Y, Khan W, Zneid BA, Zaitsev I.   +8 more
europepmc   +1 more source

Acoustic Features of Pain-Induced Vocalisations Are Associated with Subsequent Growth and Temperament Following Thermal Disbudding in Goat Kids: A Preliminary Study. [PDF]

Animals (Basel)
Fu Z, Gong Y, Hou W, Li L, Zhang H.
europepmc   +1 more source

Respiratory sound analysis in a rabbit tracheomalacia model. [PDF]

Sci Rep
Ismael AC, Omiya Y, Higuchi M, Nakamura M, Komura H, Tokuno S, Komura M.   +6 more
europepmc   +1 more source

A pilot study on the acoustic effects of a pseudo-palatal plate on speech: Implications for articulatory rehabilitation devices. [PDF]

PLoS One
Woo ST, Na S.
europepmc   +1 more source

Automated Classification of Humpback Whale Calls Using Deep Learning: A Comparative Study of Neural Architectures and Acoustic Feature Representations. [PDF]

Sensors (Basel)
Johnson JC, Rong Y.
europepmc   +1 more source

A Smartphone-Based Acoustic Machine Learning Pipeline for Detecting Suicidal Ideation: Case-Control Model Development and Validation Study. [PDF]

JMIR Form Res
Lyu M, Tan L, Xiao J, Huang H, Liu F, Qi J, Huang T, Lei J, Zhao Z, Jiang T, Liu Z, Wang X, Zhong J, Feng Z.   +13 more
europepmc   +1 more source