| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| D Sujatha, M Subramaniam, Chinnanadar Ramachandran Rene Robi. A new design of multimedia big data retrieval enabled by deep feature learning and Adaptive Semantic Similarity Function. Multimedia systems. 2022-02-14. PMID:35153387. |
here, the deep semantic feature extraction is performed by the convolutional neural network (cnn), which is again subjected to the semantic feature selection process by the new hybrid algorithm termed spider monkey-deer hunting optimization algorithm (sm-dhoa). |
2022-02-14 |
2023-08-13 |
spider |
| Ping Chen, JianYi Zhong, YueChao Zh. Intelligent Question Answering System by Deep Convolutional Neural Network in Finance and Economics Teaching. Computational intelligence and neuroscience. vol 2022. 2022-01-31. PMID:35096043. |
after being combined with the cnn algorithm, the language features of the sentence can be extracted more deeply, the semantic feature information can be captured more accurately from the sentence, and better performance can be maintained when processing more complex sentences. |
2022-01-31 |
2023-08-13 |
Not clear |
| Danny Chen, Wenzhong Yang, Liejun Wang, Sixiang Tan, Jiangzhaung Lin, Wenxiu B. PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation. PloS one. vol 17. issue 1. 2022-01-24. PMID:35073371. |
however, although cnn has achieved excellent performance, it cannot learn global and long-distance semantic information interaction well due to the local computing characteristics of convolution operation, which limits the development of medical image segmentation tasks. |
2022-01-24 |
2023-08-13 |
Not clear |
| Pan Liu, Yan Song, Mengyu Chai, Zelin Han, Yu Zhan. Swin-UNet++: A Nested Swin Transformer Architecture for Location Identification and Morphology Segmentation of Dimples on 2.25Cr1Mo0.25V Fractured Surface. Materials (Basel, Switzerland). vol 14. issue 24. 2021-12-24. PMID:34947098. |
however, with the development of the transformer in image recognition, the transformer-based neural network performs better on the learning of global and long-range semantic information than cnn and achieves higher prediction accuracy. |
2021-12-24 |
2023-08-13 |
Not clear |
| Ahmed Bahaa Farid, Enas Mohamed Fathy, Ahmed Sharaf Eldin, Laila A Abd-Elmegi. Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM). PeerJ. Computer science. vol 7. 2021-12-13. PMID:34901421. |
then, convolutional neural network (cnn) extracts the semantics of ast tokens. |
2021-12-13 |
2023-08-13 |
Not clear |
| Ziyang Wang, Irina Voiculesc. Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2021. 2021-12-11. PMID:34891865. |
quadruple augmented pyramid network (qap-net) not only enable cnn capture features from variation size of ct images, but also act as spatial inter-connections and down-sampling to transfer sufficient feature information for semantic segmentation. |
2021-12-11 |
2023-08-13 |
Not clear |
| Dimitrios Bellos, Mark Basham, Tony Pridmore, Andrew P Frenc. Temporal refinement of 3D CNN semantic segmentations on 4D time-series of undersampled tomograms using hidden Markov models. Scientific reports. vol 11. issue 1. 2021-12-07. PMID:34857791. |
temporal refinement of 3d cnn semantic segmentations on 4d time-series of undersampled tomograms using hidden markov models. |
2021-12-07 |
2023-08-13 |
Not clear |
| Kevin C Choy, Guorong Li, W Daniel Stamer, Sina Farsi. Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images. Experimental eye research. 2021-11-18. PMID:34793828. |
a novel convolutional neural network (cnn) for semantic segmentation grounded in a u-net architecture was developed by incorporating a late fusion scheme, multi-scale input image pyramid, dilated residual convolution blocks, and attention-gating. |
2021-11-18 |
2023-08-13 |
mouse |
| Yang Li, Chengbo Yi. Application of Dual-Channel Convolutional Neural Network Algorithm in Semantic Feature Analysis of English Text Big Data. Computational intelligence and neuroscience. vol 2021. 2021-11-17. PMID:34782834. |
under the comparative analysis of gru nn + dual-channel cnn model and lstm nn + dual-channel cnn model, gru nn + dual-channel cnn model ensures the high accuracy of semantic feature analysis and improves the analysis speed of the model. |
2021-11-17 |
2023-08-13 |
Not clear |
| Yang Li, Chengbo Yi. Application of Dual-Channel Convolutional Neural Network Algorithm in Semantic Feature Analysis of English Text Big Data. Computational intelligence and neuroscience. vol 2021. 2021-11-17. PMID:34782834. |
further, after the attention mechanism is added to the gru nn + dual-channel cnn model, the accuracy of semantic feature analysis of the model is improved by nearly 1.3%. |
2021-11-17 |
2023-08-13 |
Not clear |
| Lucas O Teixeira, Rodolfo M Pereira, Diego Bertolini, Luiz S Oliveira, Loris Nanni, George D C Cavalcanti, Yandre M G Cost. Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. Sensors (Basel, Switzerland). vol 21. issue 21. 2021-11-16. PMID:34770423. |
semantic segmentation was performed using a u-net cnn architecture, and the classification using three cnn architectures (vgg, resnet, and inception). |
2021-11-16 |
2023-08-13 |
Not clear |
| Jing Li, Dongliang Chen, Ning Yu, Ziping Zhao, Zhihan L. Emotion Recognition of Chinese Paintings at the Thirteenth National Exhibition of Fines Arts in China Based on Advanced Affective Computing. Frontiers in psychology. vol 12. 2021-11-10. PMID:34744913. |
aiming at the problem of "semantic gap" in the emotion recognition task of images such as traditional chinese painting, the study selects the alexnet algorithm based on convolutional neural network (cnn), and further improves the alexnet algorithm. |
2021-11-10 |
2023-08-13 |
Not clear |
| Jamie Roche, Varuna De-Silva, Ahmet Kondo. A Multimodal Perception-Driven Self Evolving Autonomous Ground Vehicle. IEEE transactions on cybernetics. vol PP. 2021-10-11. PMID:34623290. |
deeplabv3+ [1] is a state-of-the-art semantic segmentation model composed of a cnn and an autodecoder. |
2021-10-11 |
2023-08-13 |
human |
| Huijuan Wu, Chaoqun Wang, Xinyu Liu, DengKe Gan, Yimeng Liu, Yunjiang Rao, Abdulafeez Olawale Olaribigb. Intelligent target recognition for distributed acoustic sensors by using both manual and deep features. Applied optics. vol 60. issue 23. 2021-10-07. PMID:34613169. |
the manual features are first extracted in the time domain, frequency domain, semantic domain, and from dynamic models, which are fused with the deep features extracted by a four-layer 1d convolutional neural network (cnn) through feature engineering. |
2021-10-07 |
2023-08-13 |
Not clear |
| Rui Fan, Hengli Wang, Yuan Wang, Ming Liu, Ioannis Pita. Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-09-29. PMID:34559648. |
additionally, inspired by graph neural network (gnn), we propose a novel cnn layer, referred to as graph attention layer (gal), which can be easily deployed in any existing cnn to optimize image feature representations for semantic segmentation. |
2021-09-29 |
2023-08-13 |
Not clear |
| Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wan. Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE journal of biomedical and health informatics. vol 24. issue 11. 2021-09-24. PMID:32790636. |
multi-receptive-field cnn for semantic segmentation of medical images. |
2021-09-24 |
2023-08-13 |
Not clear |
| Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wan. Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE journal of biomedical and health informatics. vol 24. issue 11. 2021-09-24. PMID:32790636. |
the context-based convolutional neural network (cnn) is one of the most well-known cnns to improve the performance of semantic segmentation. |
2021-09-24 |
2023-08-13 |
Not clear |
| G Anthony Reina, Ravi Panchumarthy, Siddhesh Pravin Thakur, Alexei Bastidas, Spyridon Baka. Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation. Frontiers in neuroscience. vol 14. 2021-09-15. PMID:32116512. |
finally, we compare 2d and 3d semantic segmentation models to show that providing cnn models with a wider context of the image in all three dimensions leads to more accurate and consistent predictions. |
2021-09-15 |
2023-08-13 |
Not clear |
| Jincheng Zhang, Prashant Ganesh, Kyle Volle, Andrew Willis, Kevin Brin. Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM. Sensors (Basel, Switzerland). vol 21. issue 16. 2021-08-31. PMID:34450841. |
this contribution is coupled with a convolutional neural network (cnn) that extracts semantic information. |
2021-08-31 |
2023-08-13 |
Not clear |
| Jincheng Zhang, Prashant Ganesh, Kyle Volle, Andrew Willis, Kevin Brin. Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM. Sensors (Basel, Switzerland). vol 21. issue 16. 2021-08-31. PMID:34450841. |
additionally, we extend maps with semantic information predicted from sparse geometries (planes) by a cnn. |
2021-08-31 |
2023-08-13 |
Not clear |