Structural Optimization and Thermal Management with PCM-Honeycomb Combination for Photovoltaic-Battery Integrated System by Xinxi Li, Jiangyun Zhang, Dequan Zhou, Guoqing Zhang, Hongwei Wu, Rensheng Liu

“…Traditional photovoltaic (PV) battery systems are exhibiting many issues such as being bulky and expensive, high working temperature, and short service span. …”
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GCN and GAT-based interpretable knowledge tracing model by Yujia Huo, Menghong He, Xue Tan, Kesha Chen

“…GCAKT generates personalized problem representations by modeling students’ historical learning information at a fine-grained level, and learns these representations jointly through a problem-skill embedding module and a personalized problem mastery module. …”
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Exploring the Self-Efficacy of Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Assessment Focusing on a Low-Income, Less-Educated Community of Quetta City, Pakistan by Saleem F, Haider S, Iqbal Q, Raziq A, Farooqui M, Bashaar M

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6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

“…Additionally, the neck component is enhanced by replacing the BiFPN (Bi-directional Feature Pyramid Network) with the AFPN (Asymptotic Feature Pyramid Network), and the EMA module is integrated into the three C2F modules to boost multi-scale feature fusion and model stability. …”
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YOLOv8n-SSDW: A Lightweight and Accurate Model for Barnyard Grass Detection in Fields by Yan Sun, Hanrui Guo, Xiaoan Chen, Mengqi Li, Bing Fang, Yingli Cao

“…Additionally, the lightweight and efficient Dysample upsampling module was incorporated to enhance feature map resolution. …”
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Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images by Yan Guo, Xiaoxiang Huang, Wei Chen, Ichiro Nakamoto, Weiqing Zhuang, Hua Chen, Jie Feng, Jianfeng Wu

“…The greatest challenges today are the repetitive and time-consuming process of interpreting these complex MR images and the problem of unequal diagnostic results from physicians with different levels of experience. To address these issues, in this study, an improved YOLOv8 model (GE-YOLOv8) that combines a gradient search module and efficient channel attention was developed. …”
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A Transformer-Based Multiscale Difference Enhancement Network for Change Detection by Mengyang Pan, Hang Yang, Chengkang Yu, Mingqing Li, Anping Deng

“…This is further complemented by a cross-hierarchical linear fusion module for multiscale feature integration. Additionally, a difference enhancement module isolates and emphasizes change-related features. …”
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A Focal Attention-Based Large Convolutional Kernel Network for Anomaly Detection of Coated Fuel Particles by Zhaochuan Hu, Jiang Yu, Hang Zhang, Jian Liu, Ning Chen, Rong Li

“…Second, some anomalies exhibit weak morphological features, making them difficult to detect. To address these issues, this study proposes an innovative focal attention-based large convolutional kernel network detection framework comprising three core modules. …”
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IECI: A Pipeline Framework for Iterative Event Causal Identification with Dynamic Inference Chains by Hefei Chen, Yuanyuan Cai, Zexi Song, Yiyao Zhang, Hongbo Zhang

“…However, information about events described in documents is often distributed across sentences, which makes it difficult for existing studies to capture long-distance causal relations between events. To address these issues, this paper proposes Iterative Event Causal Identification (IECI), a pipelined framework for event causality identification that integrates two modules. …”
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Segmentation detection method in tree-shaded environment for road cracks collected by inspection vehicle on WFU-Unet by Qiong Zhang, Shilin Huang, Haomiao Wang, Zhonghang Ji, Shuang Zheng, Yunqing Liu

“…Finally, the Up module substitutes conventional upsampling techniques to minimize spatial information loss of cracks. …”
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Semantic Co-Occurrence and Relationship Modeling for Remote Sensing Image Segmentation by Yinxing Zhang, Haochen Song, Qingwang Wang, Pengcheng Jin, Tao Shen

“…However, RS semantic segmentation is hindered by issues like class imbalance, occlusion, blurring, and small target sizes. …”
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DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

“…Secondly, a dual-stream spectral collaborative attention (DSCA) module is proposed. The DSCA module adopts a dual-modal fusion approach combining global feature capture and local feature enhancement, deepening the characterization capability of spectral features. …”
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Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation by Lina Ni, Yang Liu, Zekun Zhang, Yongtao Li, Jinquan Zhang

“…Additionally, we design an onion pooling (OP) module that combines eroding mask operations with masked average pooling to generate multiple prototypes, preserving contextual information and mitigating prototype bias. …”
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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

“…Abstract The railway track extraction using unmanned aerial vehicle (UAV) aerial images suffers from issues such as low extraction accuracy and high time consumption. …”
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MCFA: Multi-Scale Cascade and Feature Adaptive Alignment Network for Cross-View Geo-Localization by Kaiji Hou, Qiang Tong, Na Yan, Xiulei Liu, Shoulu Hou

“…However, they exhibit limitations in modeling the interactions among local features and fall short in aligning cross-view representations accurately. To address these issues, we propose a Multi-Scale Cascade and Feature Adaptive Alignment (MCFA) network, which consists of a Multi-Scale Cascade Module (MSCM) and a Feature Adaptive Alignment Module (FAAM). …”
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RLDD-YOLOv11n: Research on Rice Leaf Disease Detection Based on YOLOv11 by Kui Fang, Rui Zhou, Nan Deng, Cheng Li, Xinghui Zhu

“…Second, recognizing the limitations of the native upsampling module in YOLOv11n in reconstructing rice-disease-related features, the CARAFE upsampling module is incorporated. …”
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Novel Cricket World Cup Mass Gatherings Surveillance for Event-Based Surveillance in the Caribbean Region by Keston Daniel, Mohamed Elsherbiny, Sastee Kissoondan, Lisa Indar

“…Designs/Methods This framework, using multiple data sources, including the MG Surveillance module, provided daily intelligence and threat analysis to host nations. …”
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Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…Subsequently, the VoVGSCSP module is introduced to replace the C3K2 module, effectively leveraging contextual information to improve global detection performance. …”
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CMSAF-Net: integrative network design with enhanced decoder for precision segmentation of pear leaf diseases by Jie Ding, Wenwen Xu, Xin Shu, Wenyu Wang, Shuxia Chen, Yunzhi Wu

“…CMSAF-Net integrates a Multi-scale Convolutional Attention Module (MBCA), a Self-adaptive Attention-augmented Upsampling Module (SAUP), and a Cross-layer Feature Alignment Module (CGAG) to enhance feature extraction, preserve edge information in complex disease regions, and optimize cross-layer information fusion. …”
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An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…Firstly, in the backbone and neck networks, a lightweight CSP-SCConv module is employed to replace the original CSP-Darknet53 module, thereby reducing the parameter count and enhancing the feature extraction capabilities. …”
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