Results 101 to 110 of about 2,629 (200)

Comprehensive benchmarking of machine learning models for blood glucose classification and prediction: new approach for improved hyperglycemia and hypoglycemia detection and prediction

Journal of Associated Medical Sciences
Background: Diabetes mellitus affects 463 million people worldwide and necessitates continuous blood glucose monitoring. Current glucose prediction systems often lack efficiency, and real-time prediction is essential for timely clinical intervention ...
Houda El Bouhissi, Tatiana Ermakova, Rabie A. Ramadan, Djamila Ouaret   +3 more
doaj   +1 more source

Klasifikasi Genre Musik Menggunakan Algoritma CRNN [PDF]

Musik adalah karya seni seseorang atau sekelompok orang yang mengekspresikan pikiran dan perasaannya ke dalam bentuk lagu atau komposisi musik. Musik yang dihasilkan seseorang tentu berbeda satu dengan yang lain karena musik merupakan suatu karya seni ...
Setiorini, Ela
core  

CRNN model for text detection and classification from natural scenes [PDF]

In the emerging field of computer vision, text recognition in natural settings remains a significant challenge due to variables like font, text size, and background complexity.
Bannur Mayigowda, Somashekhar, Prakash, Puneeth, Yeliyur Hanumanthaiah, Sharath Kumar   +2 more
core   +1 more source

Analisis Akurasi dan Waktu Proses Deteksi Sentimen Menggunakan Image Mel-Spectrogram

Techno.Com
Dalam upaya meningkatkan interaksi manusia-mesin, penelitian deteksi sentimen sudah banyak dilakukan peneliti untuk tujuan tersebut. Seiring dengan berkembangnya Mesin Pembelajaran, penelitian ini akan membandingkan kemampuan empat model klasifikasi ...
Jutono Gondohanindijo
doaj   +1 more source

MAIN MELODY EXTRACTION WITH SOURCE-FILTER NMF AND CRNN

, 2018
International audienceEstimating the main melody of a polyphonic audio recording remains a challenging task. We approach the task from a classification perspective and adopt a convolutional recurrent neural network (CRNN) architecture that relies on a ...
Basaran, Dogac, Essid, Slim, Peeters, Geoffroy   +2 more
core   +2 more sources

CRNN 구조를 활용한 뇌전도 신호 기반 수면 단계 분류

, 2019
본 연구는 CRNN(Convolutional Recurrent Neural Network; 콘볼루션-순환 신경망)구조를 활용하여 신호처리 및 전처리를 거치지 않은 단일 채널의 뇌전도 신호를 수면단계에 따라 분류하는 방법을 제안한다. 이를 통해 단대단 방법으로 손쉽게 신경망을 학습시키고, 기존의 방법보다 정확도를 0.8% 상향시켰다.
이규빈, 백승혁, 서호건, 이성주   +3 more
core  

Classification of Key and Time Signature in Western Musical Notation by using CRNN Algorithm with Bounding Box

This research seeks to employ the Convolutional Recurrent Neural Network (CRNN) algorithm to develop a method for classifying key and time signatures from sheet music images.
Sri Winarno, Ardytha Luthfiarta, Firda Ayu Dwi Aryanti, Dennis Adiwinata Irwan Soeroso   +3 more
core   +1 more source

Handwritten tax receipt recognition method based on improved DBNet and CRNN. [PDF]

PLoS One
Wei L, Sun J.
europepmc   +1 more source

Master Mix Localization Algorithm for Autonomous Systems in Indoor Environments. [PDF]

Entropy (Basel)
Ezzouine Z, Salbi A, Abouzahir M, Elmourabit I, Brouri A, Roy S.   +5 more
europepmc   +1 more source

Extraction of metadata from solar disk H-alpha observations at Sacramento Peak Observatory. [PDF]

Sci Data
Illarionov EA, Yukui W, Pevtsov AA.
europepmc   +1 more source