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Analysis and optimization of student learning paths based on CRNN and sequential data. [PDF]
PLoS ONEThe analysis and optimization of student learning paths have become increasingly critical in modern education, as they enable personalized learning experiences and improved academic outcomes.
Miao Deng, Lina Lu, Shaoyan Wen
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Implementation of CRNN Method for Lung Cancer Detection based on Microarray Data
JOIV: International Journal on Informatics Visualization, 2023 Lung Cancer is one of the cancer types with the most significant mortality rate, mainly because of the disease's slow detection. Therefore, the early identification of this disease is crucial.
Azka Khoirunnisa +2 more
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Reducing torque ripple for switched reluctance motors by current reshaping neural network [PDF]
Scientific ReportsThe high torque ripple poses a limitation on the application of switched reluctance motors (SRMs). In this paper, a current reshaping neural network (CRNN) is proposed to mitigate the torque ripple.
Benqin Jing +3 more
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Scene Text Recognition Based on Improved CRNN
Information, 2023 Text recognition is an important research topic in computer vision. Scene text, which refers to the text in real scenes, sometimes needs to meet the requirement of attracting attention, and there is the situation such as deformation.
Wenhua Yu +2 more
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4 open, 2022 Here we have reported a new protocol for drug delivery from hollow sphere manganese ferrite nanoparticles (HMF NPs). The crystalline structure of HMF NPs is obtained from XRD measurement and the morphological and elemental analysis are obtained from ...
Mandal Goswami Madhuri, De Debarati
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Detection and Localization of Audio Event for Home Surveillance Using CRNN [PDF]
International Journal of Electronics and Telecommunications, 2021 Safety and security have been a prime priority in people’s lives, and having a surveillance system at home keeps people and their property more secured.
V. S. Suruthhi +3 more
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Pill Box Text Identification Using DBNet-CRNN
International Journal of Environmental Research and Public Health, 2023 The recognition process of natural scenes is complicated at present, and images themselves may be complex owing to the special features of natural scenes. In this study, we use the detection and recognition of pill box text as an application scenario and design a deep-learning-based text detection algorithm for such natural scenes. We propose an end-to-
Liuqing Xiang, Hanyun Wen, Ming Zhao
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Deep learning-based DOA estimation using CRNN for underwater acoustic arrays
Frontiers in Marine Science, 2022 In the marine environment, estimating the direction of arrival (DOA) is challenging because of the multipath signals and low signal-to-noise ratio (SNR).
Xiaoqiang Li +6 more
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Efficiency Design of Traction Inverters Based on Deep Learning and TRIZ
Kongzhi Yu Xinxi Jishu, 2022 In the design of traction inverter system, there are complex and multiple technical contradictions among various subsystems. Traditional innovative method relies on manual table look-up, which is difficult to effectively deal with multiple technical ...
LIAGN Kaiwei +5 more
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Scientific Reports, 2021 Sequence recognition of natural scene images has always been an important research topic in the field of computer vision. CRNN has been proven to be a popular end-to-end character sequence recognition network.
Pengfei Meng, Shuangcheng Jia, Qian Li
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