A deep bidirectional long short-term memory based multi-scale approach for music dynamic emotion prediction

X Li, H **anyu, J Tian, W Chen, F Meng… - … on Acoustics, Speech …, 2016 - ieeexplore.ieee.org
Music Dynamic Emotion Prediction is a challenging and significant task. In this paper, We
adopt the dimensional valence-arousal (VA) emotion model to represent the dynamic …

Combination of context-dependent bidirectional long short-term memory classifiers for robust offline handwriting recognition

Y Chherawala, PP Roy, M Cheriet - Pattern Recognition Letters, 2017 - Elsevier
The BLSTM classifier has been recently introduced for sequence labeling tasks and
provides state-of-the-art performance for handwriting recognition. Its recurrent connections …

[PDF][PDF] A survey of contextual handwritten recognition systems based HMMs for cursive arabic and latin script

M Rabi, M Amrouch, Z Mahani - International Journal of Computer …, 2017 - academia.edu
Offline handwriting recognition has become lately a very popular research area and the
number of its possible application is very large. Most recognition system are based on …

Research on Sleep Staging Method Based on DeepStageNet

J Su, P Liu, Z Bao - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
In order to solve the problem of inaccurate results in the prediction of sleep stages by
traditional networks, a DeepStageNet network was proposed. The network firstly express …

Restoration of ancient Arabic manuscripts: a deep learning approach

K Miloud, ML Abdelmounaim… - Studies in …, 2024 - ojs.studiespublicacoes.com.br
This paper explores the application of modern deep learning methodologies to the
restoration of highly valuable ancient Arabic manuscripts, a task of immense cultural and …

[PDF][PDF] Year of Publication: 2017

MR Kabir, AR Onik, T Samad - 2017 - academia.edu
Increasing internet usage and connectivity demands a network intrusion detection system
combating cynical network attacks. Data mining therefore is a popular technique used by …