Few-shot Named Entity Ｒecognition for Medical Text by QIN Jian, HOU Jian-xin, XIE Yi-ning, HE Yong-jun

“…Finally，an improved data enhancement method is used to process the training data，which can increase the recognition effect of the model on named entities while avoiding overfitting of the model. …”
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An Object Feature-Based Recognition and Localization Method for Wolfberry by Renwei Wang, Dingzhong Tan, Xuerui Ju, Jianing Wang

“…The results indicate that the algorithm proposed in this paper can effectively address illumination changes and occlusion issues in complex harvesting environments. …”
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CNN‐based off‐angle iris segmentation and recognition by Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl

“…In this work, the general effect of different gaze angles on ocular biometrics is discussed, and the findings are then related to the CNN‐based off‐angle iris segmentation results and the subsequent recognition performance. …”
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Ensemble semi-supervised learning in facial expression recognition by Purnawansyah Purnawansyah, Adam Adnan, Herdianti Darwis, Aji Prasetya Wibawa, Triyanna Widyaningtyas, Haviluddin Haviluddin

“…Facial Expression Recognition (FER) plays a crucial role in human-computer interaction, yet improving its accuracy remains a significant challenge. …”
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A Review on the Few-Shot SAR Target Recognition by Junjun Yin, Changxian Duan, Hongbo Wang, Jian Yang

“…This article provides a summary of recent advancements in few-shot SAR image target recognition. First, this article outlines the concept of few-shot learning and discusses the dataset specific to the SAR recognition field. …”
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Effective Tumor Annotation for Automated Diagnosis of Liver Cancer by Yi-Hsuan Chuang, Ja-Hwung Su, Tzu-Chieh Lin, Hue-Xin Cheng, Pin-Hao Shen, Jin-Ping Ou, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Yi Lu, Chih-Chi Wang

“…Based on the partitioned segments, the tumor is located accurately. For tumor recognition, an effective multi-labeling classifier is used to recognize the tumor characteristics by the visual tumor features. …”
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Influence of different relationships of bystanders to out-of-hospital cardiac arrest patients on the effectiveness of dispatcher-assisted CPR by Liang-Tien Chien, Chien-Hsiung Huang, Hsin-Tzu Yeh, Chip-Jin Ng, Ming-Fang Wang, Chen-Bin Chen, Shang-Li Tsai, Li-Heng Tsai, Kang-Wei Chang, Cheng-Yu Chien, Ching-Ter Chang

“…However, emotional stress among family members witnessing out-of-hospital cardiac arrest (OHCA) may hinder their ability to effectively perform CPR, leading to delayed and poorer quality CPR. …”
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Listening to Foreign Languages: Pump Up the Volume! by Boris New, Clément Guichet, Elsa Spinelli, Julien Barra

Subjects: “…spoken word recognition…”
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Linguistic-visual based multimodal Yi character recognition by Haipeng Sun, Xueyan Ding, Zimeng Li, Jian Sun, Hua Yu, Jianxin Zhang

“…It effectively adapts to variations in Yi character images, improving recognition accuracy, particularly for images with deformations and complex backgrounds. …”
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VBCNet: A Hybird Network for Human Activity Recognition by Fei Ge, Zhenyang Dai, Zhimin Yang, Fei Wu, Liansheng Tan

“…These results show that VBCNet exhibits extremely high effectiveness and robustness in human activity recognition tasks in complex scenarios.…”
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Temporal-Aware Transformer Approach for Violence Activity Recognition by Rajdeep Chatterjee, Ritabrata Roy Choudhury, Mahendra Kumar Gourisaria, Sreejata Banerjee, Soumik Dey, Manoj Sahni, Ernesto Leon-Castro

“…In the first approach, Convolutional Neural Networks (CNN) and bidirectional long-short-term memory (BiLSTM) networks are combined, where MobileNetV2 is used for spatial feature extraction and BiLSTM for temporal pattern recognition, achieving an accuracy of 95.6%. The second approach incorporates a spatial-temporal transformer (TransformerSeq) in place of BiLSTM, improving performance to 97.2% by capturing spatiotemporal relationships in video data more effectively through self-attention for temporal feature learning. …”
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Palmprint Recognition Using Bifurcation Line Direction Coding by Hongxia Wang, Xulei Cao

“…Traditional methods often rely on single line features, which may not effectively capture the local bifurcation information critical for accurate recognition. …”
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Vehicle in the Loop Testing of Traffic Sign Recognition Systems by Richárd Peszleg, Márton Jagicza, Dávid Józsa

“…While the lab environment does not replace final public road testing, it is a cost-effective solution for the development and testing of traffic sign recognition systems.…”
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Automated recognition and sorting of recycled textiles for sustainable fashion by Zlatin Zlatev, Julieta Ilieva

“…Spectrophotometric methods have effective application in this subject area. In the present work, an analysis of known methods and approaches applied so far using the techniques of spectral analysis. …”
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Human Activity Recognition and Location Based on Temporal Analysis by Hongjin Ding, Faming Gong, Wenjuan Gong, Xiangbing Yuan, Yuhui Ma

“…Current methods of human activity recognition face many challenges, such as the need for multiple sensors, poor implementation, unreliable real-time performance, and lack of temporal location. …”
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Apvit: ViT with adaptive patches for scene text recognition by Ning Zhang, Ce Li, Zongshun Wang, Jialin Ma, Zhiqiang Feng

“…Abstract Scene texts in nature exhibit varied colors, which serve as a significant distinguishing feature that effectively suppresses background interference. In this study, color clustering is utilized as a prior guide to group patches, enhancing their spatial relationships. …”
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Dynamic facial expression recognition integrating spatiotemporal features by LIU Baobao, TAO Lu, YANG Jingjing, WANG Heying

“…Experimental results demonstrate that the TDRAG model shows improvements of 4.27% in weighted average recall (WAR) and 4.16% in unweighted average recall (UAR) on the DFEW dataset, compared to the baseline model 3DResNet18, validating the effectiveness of TDRAG in extracting key facial features and enhancing the accuracy of dynamic facial expression recognition.…”
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Causal Inference for Modality Debiasing in Multimodal Emotion Recognition by Juyeon Kim, Juyoung Hong, Yukyung Choi

“…To address this, we propose Causal Inference in Multimodal Emotion Recognition (CausalMER), which leverages counterfactual reasoning and causal graphs to capture relationships between modalities and reduce direct modality effects contributing to bias. …”
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Manet: motion-aware network for video action recognition by Xiaoyang Li, Wenzhu Yang, Kanglin Wang, Tiebiao Wang, Chen Zhang

“…Abstract Video action recognition is a fundamental task in video understanding. …”
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Trajectory Prediction and Intention Recognition Based on CNN-GRU by Jinghao Du, Dongdong Lu, Fei Li, Ke Liu, Xiaolan Qiu

“…Accurate trajectory prediction and intention recognition are essential for effective decision-making, as different intents manifest in distinct trajectory patterns. …”
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