Results 41 to 50 of about 2,629 (200)

Identification of Down-Expressed CRNN Associated with Cancer Progression and Poor Prognosis in Laryngeal Squamous Cell Carcinoma

Frontiers in Bioscience-Landmark
Background: The prevalence of laryngeal squamous cell carcinoma (LSCC) is increasing, and it poses a significant threat to human health; therefore, identifying specific targets for LSCC remains crucial.
Feilong Hong, Xuemei Wan, Yundan Bai
doaj   +1 more source

Multimodal sentiment system and method based on CRNN-SVM

Neural Computing and Applications, 2023
AbstractTraditional sentiment analysis focuses on text-level sentiment mining, transforming sentiment mining into classification or regression problems, resulting in a sentiment analysis low accuracy rate. Sentiment analysis refers to the use of natural language processing, text analysis, and computational linguistics to systematically identify ...
Yuxia Zhao, Mahpirat Mamat, Alimjan Aysa, Kurban Ubul   +3 more
openaire   +2 more sources

Downregulation of CRNN in ESCC.

, 2013
(A) qRT-PCR was used to compare CRNN mRNA levels between tumor and corresponding non-tumor tissues in 56 ESCC cases ...
Xiaojiao Ban (437093), Xin-Yuan Guan (123632), Yinghui Zhu (437091), Li Fu (85791), Yan Li (23143), Jiangchao Li (290762), Yanru Qin (290764), Kai Chen (129938), Yongdong Dai (437090), Tingting Zeng (437092)   +9 more
core   +1 more source

Convolutional Recurrent Neural Network-Based Event Detection in Tunnels Using Multiple Microphones

Sensors, 2019
This paper proposes a sound event detection (SED) method in tunnels to prevent further uncontrollable accidents. Tunnel accidents are accompanied by crashes and tire skids, which usually produce abnormal sounds.
Nam Kyun Kim, Kwang Myung Jeon, Hong Kook Kim   +2 more
doaj   +1 more source

Attention mechanism combined with residual recurrent neural network for sound event detection and localization

EURASIP Journal on Audio, Speech, and Music Processing, 2022
In the task of sound event detection and localization (SEDL) in a complex environment, the acoustic signals of different events usually have nonlinear superposition, so the detection and localization effect is not good. Given this, this paper is based on
Chaofeng Lan, Lei Zhang, Yuanyuan Zhang, Lirong Fu, Chao Sun, Yulan Han, Meng Zhang   +6 more
doaj   +1 more source

Improved Multi-Model Classification Technique for Sound Event Detection in Urban Environments

Applied Sciences, 2022
Sound event detection (SED) plays an important role in understanding the sounds in different environments. Recent studies on standardized datasets have shown the growing interest of the scientific community in the SED problem, however, these did not pay ...
Muhammad Salman Khan, Mohsin Shah, Asfandyar Khan, Amjad Aldweesh, Mushtaq Ali, Elsayed Tag Eldin, Waqar Ishaq, Lal Hussain   +7 more
doaj   +1 more source

CRNN inhibits tumor formation in nude mice.

, 2013
(A) Representatives of tumors formed in nude mice induced by vector-transfected KYSE30 cells (left) and CRNN-transfected cells (right), respectively. Representatives of tumors derived from tested animals were shown in the upper panel.
Xiaojiao Ban (437093), Xin-Yuan Guan (123632), Yinghui Zhu (437091), Li Fu (85791), Yan Li (23143), Jiangchao Li (290762), Yanru Qin (290764), Kai Chen (129938), Yongdong Dai (437090), Tingting Zeng (437092)   +9 more
core   +1 more source

An advanced deep learning model for predicting water quality index

Ecological Indicators
Predicting a water quality index (WQI) is important because it serves as an important metric for assessing the overall health and safety of water bodies. Our paper develops a new hybrid model for predicting the WQI.
Mohammad Ehteram, Ali Najah Ahmed, Mohsen Sherif, Ahmed El-Shafie   +3 more
doaj   +1 more source

Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser

Digital Chemical Engineering, 2022
The problem of gas-liquid (two-phase) flow regime identification in an S-shaped riser using an ultrasonic sensor and convolutional recurrent neural networks (CRNN) is addressed.
Boyu Kuang, Somtochukwu Godfrey Nnabuife, Shuang Sun, James F. Whidborne, Zeeshan A. Rana   +4 more
doaj   +1 more source

Existence and Learning of Teaching Network for CRNN

International Journal of Computer Applications, 2011
Existence and Learning of Teaching Network for Complex Recurrent Neural Network (CRNN) has been discussed in this piece of research. Issues related to the quaternionic neural network have been taken into consideration. In this paper by considering the special class of CRNN for which existence of attractive periodic solution in teaching network has been
Avanish Kumar, Neeraj Sahu
openaire   +1 more source