Contrastive Learning-Based Personalized Tag Recommendation by Aoran Zhang, Yonghong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao

“…In addition, we integrate the contrastive learning module into a graph neural network-based personalized tag recommendation model, which enables the model to extract self-supervised signals from user–tag and item–tag interaction graphs. …”
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Enhancing medical students’ understanding of end-of-life care ethics and law through video-triggered expert-led debriefing: a two-stage study by Yuan-Ping Chao, Yu-Lun Tsai, Daphne Yih Ng, Jen-Jiuan Liaw, Chung-Pei Fu, Chih‑Chia Wang

“…Conclusions The video-triggered expert-led debrief module can effectively teach the application of medical ethics and laws in end of life care. …”
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HPRT-DETR: A High-Precision Real-Time Object Detection Algorithm for Intelligent Driving Vehicles by Xiaona Song, Bin Fan, Haichao Liu, Lijun Wang, Jinxing Niu

“…We thus propose a Deformable Attention-based Intra-scale Feature Interaction (DAIFI) module by combining the Deformable Attention mechanism with the Intra-Scale Feature Interaction module. …”
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Swin-FSNet: A Frequency-Aware and Spatially Enhanced Network for Unpaved Road Extraction from UAV Remote Sensing Imagery by Jiwu Guan, Qingzhan Zhao, Wenzhong Tian, Xinxin Yao, Jingyang Li, Wei Li

“…The architecture consists of two core modules: the Wavelet-Based Feature Decomposer (WBFD) module and the Hybrid Dynamic Snake Block (HyDS-B) module. …”
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Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

“…Additionally, a spatial–spectral cooperative attention module (SSCA) and a differentiated multi-scale feature fusion module (DMF) are introduced. …”
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Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms by Ye Liu, Shixin Li, Liming Zhou, Haichen Liu, Zhiyu Li

“…First, an adaptive image enhancement module is introduced to restore image information and enrich feature details. …”
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EBBA-detector: An effective detector for defect detection in solar panel EL images with unbalanced data. by Yixing Zhang, Ziyan Mo, Zhuan Xin, Xianyu Chen, Yuqin Deng, Xuan Dong

“…Solar panel defect detection, a crucial quality control task in the manufacturing process, often faces challenges such as varying defect sizes, severe image background interference, and imbalanced data sample distribution. To address these issues, this paper proposes the EBBA-Detector. The core of the model lies in an enhanced balanced attention framework, which includes an Enhanced Bidirectional Feature Pyramid Network (EBFPN) and a Balanced-Attention Module (B-A Module). …”
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Design for manufacture and assembly (DfMA) for modular buildings: an analytical framework by Vikrom Laovisutthichai, Wilson Lu

“…Several design patterns are also identified, i.e. typical space requirements, common module sizes, dimension-coordinated spaces, and the repetitive use of standardized spaces and modules to form units. …”
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Meta-GCANet: Meta-Graph Coupled Aware Network for Cross-Modality Person Re-Identification by Jiale Zhang, Baohua Zhang, Dongyang Wu

“…The network consists of two modules: the Multi-Scale Awareness (MSA) module and the Meta-Graph Coupling (M-GC) module. …”
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A Lightweight Semantic- and Graph-Guided Network for Advanced Optical Remote Sensing Image Salient Object Detection by Jie Liu, Jinpeng He, Huaixin Chen, Ruoyu Yang, Ying Huang

“…However, most methods still face challenges such as performance limitations and imbalances between accuracy and computational cost. To address these issues, we propose SggNet, a novel semantic- and graph-guided lightweight network for ORSI-SOD. …”
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ACM-YOLOv10: Research on Classroom Learning Behavior Recognition Algorithm Based on Improved YOLOv10 by Beichen Qin, Haoyan Hu, Shaowen Du

“…The model is designed with an Asymmetric Depthwise Separable Convolution (ADSConv) module to replace the traditional convolutional layers. …”
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Potato Plant Variety Identification Study Based on Improved Swin Transformer by Xue Xing, Chengzhong Liu, Junying Han, Quan Feng, Enfang Qi, Yaying Qu, Baixiong Ma

“…The model employs a multi-scale feature fusion module in place of patch partitioning and linear embedding. …”
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A real-time predictive postural control system with temperature feedback by Yaoyu Duan, Huimin Jiao, Dangxiao Wang, Xingwei Guo

“…The designed system employs inertial sensors to measure body tilt angles and a wearable temperature control module for biofeedback. Moreover, we proposed a mathematical method to improve the real-time biofeedback with thermal tactile feedback, specifically targeting the issue of poor real-time temperature regulation. …”
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Research on LiDAR Clear Air Turbulence Recognition Based on Improved SE-ResNet50 by Zibo ZHUANG, Jun CHEN, Peilin HE, Hongying ZHANG, Guohua JIN, Xiong LUO

“…To address the issue of LiDAR’s low turbulence recognition rate at airports in low-altitude areas, a clear air turbulence recognition method based on an improved Squeeze-and-Excitation Residual Network with 50 layers (SE-ResNet50) is proposed. …”
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Hippopotamus based optimization for reliable and cost-effective designing of stand-alone hybrid renewable system for a remote area by Sanjeev Gupta, Sanjeev Gupta, Yashwant Sawle, Kishor Thakre, M. Thirunavukkarasu, M. Thirunavukkarasu

“…When contrasting the effectiveness of optimization methods, the HOA is the optimal solution for resolving the sizing issue since it offers the most effective compromise among robustness, accuracy, and convergence rate.…”
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Adaptive backstepping control for electro-hydraulic servo system in extension sleeve press-fitting process of bearing pressing machine by Chen Hongsheng

“…Existing researches on this issue remains to be enriched and the performance of related algorithms still needs further improvement. …”
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A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion by Qi Wang, Guanghu Xu, Donglin Jing

“…Specifically, we first refine scale modeling through the Multi-kernel Context Interaction (MCI) module and Hierarchical Expansion Attention (HEA) mechanism, achieving sufficient extraction of local features and global information for targets of different scales. …”
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A Resolution and Localization Algorithm for Closely-Spaced Objects Based on Improved YOLOv5 Joint Fuzzy C-Means Clustering by Yao Li, Xin Chen, Peng Rao, Shenghao Zhang, Guangsen Liu

“…The presence of numerous space objects poses significant challenges to spacecraft launch, operation, and space security. To address this issue, a novel algorithm based on improved YOLOv5 joint Fuzzy C-Means (FCM) has been proposed for discerning and localizing closely-spaced objects (CSOs) in space. …”
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Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model by Miaoxuan Shan, Chunlin Ye, Peng Chen, Shufan Peng

“…While many effective spatiotemporal crime prediction methods have been proposed, most overlook this issue, reducing their ability to generalize. In this paper, we introduce a novel deep learning-based model, adaptive-GCNLSTM (Ada-GCNLSTM). …”
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Improving Age Estimation in Occluded Facial Images with Knowledge Distillation and Layer-Wise Feature Reconstruction by Shuangfei Yu, Qilu Zhao

“…Although prior research has explored de-occlusion methods for occluded facial images, there remains a lack of studies focusing on the implicit facial feature information present in fixed occlusion patterns. To address this issue, this study proposes a novel method for reconstructing occluded facial features to enhance age estimation accuracy under occlusion conditions. …”
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