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Bioengineering, 2023 Purpose: To develop a novel convolutional recurrent neural network (CRNN-DWI) and apply it to reconstruct a highly undersampled (up to six-fold) multi-b-value, multi-direction diffusion-weighted imaging (DWI) dataset.
Kaibao Sun +2 more
exaly +4 more sources
Implementation of CRNN Method for Lung Cancer Detection based on Microarray Data [PDF]
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
doaj +2 more sources
Respiratory Disease Classification Using NMF-Enhanced Log-Mel Spectrograms and Convolutional Recurrent Neural Networks [PDF]
SensorsRespiratory disease classification using lung sound recordings remains challenging due to signal interference, heterogeneous acquisition conditions, and substantial overlap among clinically related acoustic patterns.
Bowen Han +3 more
doaj +2 more sources
Raw Waveform-Based Custom Scalogram CRNN in Cardiac Abnormality Diagnosis
IEEE AccessCardiovascular disease is a significant cause of death worldwide, emphasizing the crucial need for timely detection and diagnosis of heart abnormalities.
Kodali Radha
exaly +3 more sources
Enhancing Hindi OCR robustness with CRNN-ResNet50: a data augmentation approach on the devanagari dataset [PDF]
Scientific ReportsOptical character recognition is a technology that turns texts and scanned documents into digital formats. The practical applications of OCR systems face a lot of challenges because of heterogeneity in scripts, font styles, and different quality images ...
Sujeet Kumar +3 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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +3 more sources