Label-Guided Data Augmentation for Chinese Named Entity Recognition by Miao Jiang, Honghui Chen

“…Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. …”
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Emotion Recognition from Speech in a Subject-Independent Approach by Andrzej Majkowski, Marcin Kołodziej

“…The research findings indicated that the effective recognition of a broad spectrum of emotions in a subject-independent approach is limited. …”
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Construction of a Geological Fault Corpus and Named Entity Recognition by Huainuo Wang, Ruiqing Niu, Yongyao Han, Qinglu Deng

“…The experimental results demonstrate that (1) the F1 value of entity recognition based on the faulty corpus exceeds 80%, which validates the efficacy of the faulty corpus; (2) the BERT model can effectively utilize available information. …”
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Emotion recognition with multiple physiological parameters based on ensemble learning by Yilong Liao, Yuan Gao, Fang Wang, Li Zhang, Zhenrong Xu, Yifan Wu

“…This study explores the application and effectiveness of ensemble learning methods for emotion recognition based on multiple physiological parameters. …”
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Fault Recognition Method and Application Based on Generative Adversarial Network by Shuiliang Luo, Yongmei Huang, Yun Su, Shengkui Wang, Qianqian Liu, Yingqiang Qi, Fuhao Chang

“…This approach demonstrates effective fault recognition in practical seismic data. …”
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Attention modules in convolutional neural networks for small object recognition by D.I. Krasnov

“…The results are presented in the form of tables with test metrics and figures with precision-recall curves, ROC curves and heatmaps showing an effectiveness of background suppression. The results obtained allow one to implement the described attention modules in the convolutional neural networks of any complexity and increase the recognition accuracy of objects of 10-40 pixels in size on a complex background.…”
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Research progress on the molecular basis of plant-Ralstonia solanacearum recognition by XIAO Zhiliang, YANG Aiguo, ZHANG Meixiang

“…This pathogen exhibits high genetic diversity and evolves rapidly, and there is a lack of effective disease-resistant varieties in production, which brings great challenges for effective disease control. …”
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Small Face Recognition Algorithm Based on Super-resolution Reconstruction by LI Jing-yu, CHENG Wei-yue, LI Zi-xiang, LIN Ke-zheng

“…Aiming at the problem of low recognition rate caused by the lack of effective identity information in small-scale face images with low resolution, this small face recognition algorithm based on super-resolution reconstruction is proposed. …”
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Action Recognition with 3D Residual Attention and Cross Entropy by Yuhao Ouyang, Xiangqian Li

“…Subsequent experimental results have demonstrated that 3DRFNet achieved SOTA performance in human action recognition. 3DRFNet achieved accuracies of 91.7% and 98.7% on the HMDB-51 and UCF-101 datasets, respectively, which highlighted 3DRFNet’s advantages in recognition accuracy and robustness, particularly in effectively capturing key behavioral features in videos using both attention mechanisms.…”
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Recognition of building group patterns using GCN and knowledge graph by Tao Liu, Ziqiang Zhang, Ping Du, Wenning Wang, Haowen Yan, Bo Qiang, Shenglu Xu

“…Effective identification of building patterns can improve the quality of automated map generalization. …”
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Application of lossless signal transmission technology in piano timbre recognition by Li Lin

“…Next the analog signal is converted into a digital signal through an A/D converter for subsequent digital signal processing and recognition. Accurate detection of DTMF signals is a crucial step in the application of technology in signal processing, which directly affects the effectiveness of timbre recognition. …”
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Action recognition using part and attention enhanced feature fusion by Danfeng Zhuang, Min Jiang, Lei Wang, Mohamed Sanim Akremi, Hedi Tabia

“…Experiments conducted on the NTU RGB+D and Kinetics-Skeleton datasets demonstrate the effectiveness of PAFFNet in improving skeleton-based action recognition.…”
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Mutual Recognition Procedure for the Registration of Medicines: New Challenges or Opportunities by A. V. Foteeva, O. S. Barshadskaya, N. B. Rostova

“…The review of the process of harmonization of the registration practice of medicinal products in the EAEU speaks of the prospects of using the mutual recognition procedure for developing the potential of domestic manufacturers and facilitating access to effective and safe drugs.…”
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Tea Disease Recognition Based on Image Segmentation and Data Augmentation by Ji Li, Chenyi Liao

“…However, the complex environment of tea plantations—affected by weather variations and uneven lighting—poses significant challenges for building effective disease recognition models using raw field-captured images. …”
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Target Recognition and Localization of Mobile Robot with Monocular PTZ Camera by Hongxing Wang, Ruifeng Li, Yunfeng Gao, Chuqing Cao, Lianzheng Ge, Xiong Xie

“…The target recognition and location based on the vision sensor is a kind of more intuitive and effective method. …”
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Unsupervised Temporal Adaptation in Skeleton-Based Human Action Recognition by Haitao Tian, Pierre Payeur

“…Experiments are conducted on multiple large-scale human action recognition datasets such as NTU RGB+D, PKU MMD, and Northwestern–UCLA to comprehensively evaluate the effectiveness of the proposed method.…”
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Multi-Modality Sheep Face Recognition Based on Deep Learning by Sheng Liao, Yan Shu, Fang Tian, Yong Zhou, Guoliang Li, Cheng Zhang, Chao Yao, Zike Wang, Longjie Che

“…This model effectively learns geometric features from depth data and texture features from RGB data, thereby enhancing recognition accuracy. …”
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A novel traffic sign recognition approach for open scenarios by CAO Weipeng, WU Yuhao, LI Dachuan, MING Zhong, CHEN Zhenru, YE Xuan

“…The study verifies the feasibility and effectiveness of the proposed scheme.…”
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A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…Brain–computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. …”
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Deep convolutional neural network architecture for facial emotion recognition by Dayananda Pruthviraja, Ujjwal Mohan Kumar, Sunil Parameswaran, Vemulapalli Guna Chowdary, Varun Bharadwaj

“…Additionally, we explore transfer learning techniques, showing that pre-trained DCNNs can effectively handle specific emotion recognition tasks even with limited labeled data.Our research focuses on improving the accuracy of emotion detection, demonstrating the model’s capability to capture emotion-related facial cues through detailed feature extraction. …”
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