Results 131 to 140 of about 8,338,200 (223)

Klasifikasi Suara Paru – Paru yang ditingkatkan menggunakan SpecAugmentasi dan Mel Spectrogram

Penyakit paru-paru merupakan kontributor utama morbiditas dan mortalitas di seluruh dunia. Suara napas pada individu dapat bervariasi dari keadaan normal hingga patologis. Studi ini bertujuan untuk meningkatkan klasifikasi menggunakan SpecAugment dan Mel
Jaenal Arifin, Moh Nur Shodiq, Dony Hutabarat   +2 more
core   +1 more source

Mel-frequency scaled filterbank.

, 2018
The figure shows the amplitude response of the 23 filters of a Mel-scaled filterbank ranging from 0 to 8000 Hz.
Doroteo T. Toledano (2175334), María Pilar Fernández-Gallego (5843816), Alicia Lozano-Diez (2175330)   +2 more
core   +1 more source

Snoring sound classification in patients with cerebrovascular stenosis based on an improved ConvNeXt model

Frontiers in Physiology
IntroductionSnoring is a common symptom of Obstructive Sleep Apnea (OSA) and has also been associated with an elevated risk of cerebrovascular disease. However, existing snoring detection studies predominantly focus on individuals with Obstructive Sleep ...
Caijian Hua, Zhihui Liu, Liuying Li, Xia Zhou, Caorong Xiang   +4 more
doaj   +1 more source

Nonperiodic Pathologic Voice Signals Classification Using Mel-Spectrogram and VGGish

In this work and the literature, voice signals can be classified as peri-odic (type 1) or either some periodicity (type 2) and chaos (type 3). This work aims to classify signs into types 1, 2 or 3 to be subsequently applied in a classifi-cation system for pathological/control signs. The original dataset is composed of 466 type 1 individuals, 900 type 2
Joana Filipa Teixeira Fernandes, João Viana Pinto, Carla Pinto Moura, Helena Vilarinho, Felipe Teixeira, Diamantino Freitas, João Paulo Teixeira   +6 more
openaire   +2 more sources

MEL-28 is essential for female meiosis.

, 2016
(A) GFP::MEL-28 (green in merged images) was expressed in oocytes and accumulated at kinetochores of meiotic chromosomes (visualized with mCherry::HisH2B; magenta in merge).
Georgina Gómez-Saldivar (3164445), Michael Mauro (3164451), Fabio Piano (45589), Allison Lai (3164463), Cristina Ayuso (3164448), Yasushi Hiraoka (52047), Tokuko Haraguchi (342841), Peter Askjaer (3164460), Anita Fernandez (3164457), Yasuhiro Hirano (3164454)   +9 more
core   +1 more source

Mel Duke

, 2007
"Mel. Duke U.S.S. Peary D.D. 226 Alstonville NSW".Mel. Duke. United States Ship Peary. Destroyers 226.
Duke, Mel
core  

Mel Schell

, 1990
"Mel Schell 808th Eng'r Avn Aust Feb 1942".Mel Schell 808th Engineers Aviation.
Schell, Mel
core  

Antiquarius sacer de usu antiquitatum Iudaicarum, Graecarum et Romanarum, in explicandis obscurioribus S. Scripturae dictis, ad antiquitates ecclesiasticas, politicas & oeconomicas veterum alludentibus

delineatus a Conrado Mel ..
Mel, Conrad
core   +1 more source

Explainable CNN–GRU learning on Mel-spectrogram acoustic signals for bearing fault diagnosis under small-sample experimental conditions

Reliable bearing fault diagnosis is essential for predictive maintenance of rotating machinery, particularly in applications where contact-based vibration sensors are difficult to install or maintain.
Yıldırım Özüpak, Emrah Aslan
core   +1 more source

A hybrid CNN and reinforcement learning framework for speaker identification using Mel-Spectrogram and continuous wavelet transform features. [PDF]

Sci Rep
Heir FM, Najafzadeh H, Erfani S.
europepmc   +1 more source