Results 151 to 160 of about 876,297 (223)

Comparison of Deep Neural Networks for the Classification of Adventitious Lung Sounds. [PDF]

J Clin Med
Polanco-Martagón S, Hernández-Mier Y, Nuño-Maganda MA, Barrón-Zambrano JH, Magadán-Salazar A, Medellín-Vergara CA.   +5 more
europepmc   +1 more source

Peer Review #1 of "Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images (v0.2)"

, 2019
Hirotaka Takahashi
openalex   +1 more source

The impact of physical exercise on adolescent psychological resilience: an empirical analysis based on deep neural networks. [PDF]

Front Psychol
Chen Y, Song J, Zhao G, Fu J.
europepmc   +1 more source

Deep neural networks explain spiking activity in auditory cortex. [PDF]

PLoS Comput Biol
Ahmed B, Downer JD, Malone BJ, Makin JG.
europepmc   +1 more source

Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.

Maria Sokolova, Manuel Cordova, Henk Nap, Edwin van Helmond, Michiel Mans, Arjan Vroegop, Angelo Mencarelli, Gert Kootstra   +7 more
openalex   +1 more source

Simulating a Specialist's Treatment Experience for Hypertension Using Deep Neural Networks. [PDF]

J Clin Hypertens (Greenwich)
Ri JC, Jo KR, Mun TO.
europepmc   +1 more source

Poliomyelitis dynamics with fractional order derivatives and deep neural networks. [PDF]

Sci Rep
Al-Quran A, Shafqat R, Alsaadi A, Djaouti AM.   +3 more
europepmc   +1 more source

Application of deep neural networks in automatized ventriculometry and segmentation of the aqueduct in pediatric hydrocephalus patients. [PDF]

Neuroradiology
Kühne F, Rüther K, Güttler C, Stöckel JC, Thomale UW, Tietze A, Dell'Orco A.   +6 more
europepmc   +1 more source

Deep neural networks trained for estimating reflectance and illumination achieve lightness constancy differently than human observers. [PDF]

J Vis
Flachot A, Patel J, Wallis TSA, Brubaker MA, Brainard DH, Murray RF.   +5 more
europepmc   +1 more source

High-Accuracy Detection of Odor Presence from Olfactory Bulb Local Field Potentials via Deep Neural Networks. [PDF]

Sensors (Basel)
Hassanloo M, Zareh A, Özdemir MK.
europepmc   +1 more source