Results 51 to 60 of about 2,629 (200)
Tumor-suppressive function of CRNN in ESCC cell lines.
, 2013 (A) Expression of CRNN in CRNN-transfected ESCC cell lines KYSE30 (clones 2 and 3) and KYSE180 (clone 1) were confirmed by RT-PCR and western blot analysis, respectively.
Xiaojiao Ban (437093) +9 more
core +1 more source
Audio-to-score singing transcription based on a CRNN-HSMM hybrid model [PDF]
, 2021 This paper describes an automatic singing transcription (AST) method that estimates a human-readable musical score of a sung melody from an input music signal. Because of the considerable pitch and temporal variation of a singing voice, a naive cascading
Yoshii, Kazuyoshi +3 more
core +1 more source
Ekstraksi Partitur Balok Monofonik untuk Instrumen Flute dengan CRNN dan CRF [PDF]
, 2023 Notasi partitur balok bukanlah notasi yang mudah dibaca oleh pemula dalam dunia musik. Di sinilah Optical Music Recognition (OMR) dapat berperan. OMR merupakan sebuah pembelajaran mengenai komputer yang dapat mengenali objek dalam partitur balok.
Santoso, Joan +3 more
core +2 more sources
IEEE Access, 2018 The end-to-end learning approaches were proposed for an arithmetic expression recognition task in the Baidu Meizu Deep Learning Competition by a deep convolutional neural network (DCNN) with parallel dense layers and component-connection-based detection ...
Yuxiang Jiang +2 more
doaj +1 more source
High Voltage, EarlyView.ABSTRACT High voltage equipment, as a core component of power systems, plays an indispensable role in ensuring the reliability of power supply through its safe and stable operation. Traditional visual defect detection for high voltage equipment, however, often relies on manual inspection and experience‐based judgement, which struggles to meet the ...
Zhenbing Zhao +7 more
wiley +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
Journal of Forecasting, Volume 45, Issue 6, Page 2760-2784, September 2026.ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie
Complexity, 2018 Timely detection and efficient recognition of fault are challenging for the bogie of high-speed train (HST), owing to the fact that different types of fault signals have similar characteristics in the same frequency range.
Kaiwei Liang +3 more
doaj +1 more source
Salivary Extracellular Vesicles: Paradigm Shift in Liquid Biopsy Diagnostics
Journal of Extracellular Biology, Volume 5, Issue 7, July 2026.ABSTRACT Extracellular vesicles (EVs), lipid bilayer nanoparticles released by virtually all cells, serve as essential messengers for intercellular communication. Due to their involvement in several pathophysiological processes, EVs have recently gained considerable attention as potentially diagnostic and prognostic biomarkers for various illnesses ...
Kwanele Xulu +3 more
wiley +1 more source
Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN) [PDF]
, 2021 Hadis merupakan sumber hukum dan pedoman kedua bagi umat Islam setelah Al-Qur’an dan banyak sekali hadis yang telah diriwayatkan oleh para ahli hadis selama ini.
Abu Bakar, Muhammad Yuslan +3 more
core +1 more source
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units [PDF]
, 2018 Audio tagging aims to detect the types of sound events occurring in an audio recording. To tag the polyphonic audio recordings, we propose to use Connectionist Temporal Classification (CTC) loss function on the top of Convolutional Recurrent Neural ...
Hou, Yuanbo +3 more
core +1 more source