Learning spatio-temporal context for basketball action pose estimation with a multi-stream network by Zhihao Zhang, Wenyue Liu, Yuan Zheng, Linkang Du, Lezhong Sun

“…Finally, we introduced a stage-wise streaming training module that progressively enhances the model’s accuracy and generalization ability through three stages. …”
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Bilinear Learning with Dual-Chain Feature Attention for Multimodal Rumor Detection by Zheheng Guo, Haonan Liu, Lijiao Zuo, Junhao Wen

“…This paper proposes a dual-chain multimodal feature learning framework for rumor detection to address these issues. The framework comprehensively extracts rumor content features through the following two parallel processes: a basic semantic feature extraction module that captures fundamental textual and visual semantics, and a logical connection feature learning module that models both the internal logical relationships within text and the cross-modal semantic alignment between text and images. …”
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Fall Detection Algorithm Using Enhanced HRNet Combined with YOLO by Huan Shi, Xiaopeng Wang, Jia Shi

“…The accuracy of the key point detection module on the COCO and OCHuman datasets reaches 73.49% and 70.11%, respectively. …”
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A multi-modal multi-branch framework for retinal vessel segmentation using ultra-widefield fundus photographs by Qihang Xie, Qihang Xie, Xuefei Li, Yuanyuan Li, Yuanyuan Li, Jiayi Lu, Jiayi Lu, Shaodong Ma, Yitian Zhao, Yitian Zhao, Jiong Zhang, Jiong Zhang

“…To further address the challenges of high-resolution UWF fundus images, we introduce a Local Perception Fusion Module (LPFM) to mitigate context loss during the segmentation cut-patch process. …”
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A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering by Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei, Reza Ghanbarzadeh

“…This paper applied the horse herd optimization algorithm, a distinctive population-based and discrete metaheuristic technique, in clustering software modules. The proposed method’s effectiveness in addressing the module clustering problem was examined by ten real-world standard software test benchmarks. …”
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Semantic enhancement and cross-modal interaction fusion for sentiment analysis in social media. by Guangyu Mu, Ying Chen, Xiurong Li, Li Dai, Jiaxiu Dai

“…Thus, this paper presents a Semantic Enhancement and Cross-Modal Interaction Fusion (SECIF) model for sentiment analysis to address these issues. Firstly, BERT and ResNet extract feature representations from text and images. …”
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RL-QPSO net: deep reinforcement learning-enhanced QPSO for efficient mobile robot path planning by Yang Jing, Li Weiya

“…The RL-QPSO Net combines quantum-inspired particle swarm optimization (QPSO) and deep reinforcement learning (DRL) modules through a dual control mechanism to achieve path optimization and environmental adaptation. …”
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RSTD-YOLOv7: a steel surface defect detection based on improved YOLOv7 by Hongru Song

“…Second, the STRVGG module, constructed using the Swin Transformer, is incorporated into the neck network. …”
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YOLO-APDM: Improved YOLOv8 for Road Target Detection in Infrared Images by Song Ling, Xianggong Hong, Yongchao Liu

“…A new algorithm called YOLO-APDM is proposed to address low quality and multi-scale target detection issues in infrared road scenes. The method reconstructs the neck section of the algorithm using the multi-scale attentional feature fusion idea. …”
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SECURITY ASSESSMENT OF MOODLE-BASED DISTANCE LEARNING SYSTEM COMPONENTS USING STATIC ANALYSIS TOOLS by Vladislav K. Kuchmin, Grigory O. Krylov

“…The analysis revealed 589 issues, distributed as follows: 72 reliability-related problems, 532 maintainability issues, and 2 critical points marked as security hotspots requiring manual review. …”
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Prosthesis repair of oral implants based on artificial intelligenc`e finite element analysis by Yi Sun

“…Dentists often suggest dental implants to replace missing teeth; nevertheless, mechanical issues can develop with these implants, which could lead to prosthesis replacement or repairs. …”
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Segmentation and particle size analysis of coal particles based on ISUNet by Deqiang CHENG, Rui ZHANG, Tongxi XIE, Jingjing LIU, Lijuan ZHENG, Qiqi KOU, He JIANG

“…The ISUNet model introduces a compressed excitation atrous spatial pyramid pooling module and a Transformer-based multi-path iterative encoder. …”
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DTCformer: A Temporal Convolution-Enhanced Autoformer with DILATE Loss for Photovoltaic Power Forecasting by Quanhui Qiu, Dejun Ning, Qiang Guo, Jiang Wei, Huichang Chen, Lihui Sui, Yi Liu, Zibing Du, Shipeng Liu

“…The proposed model integrates a Temporal Convolution Feedforward Network module and a Variable Selection Embedding module, effectively capturing inter-variable dependencies and temporal periodicity. …”
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Interprofessional training in medical education: competency, collaboration, and multi-level analysis across seven governorates, Egypt by Ehab Kamal, Yousra El-Maradny, Lobna A. Elgamal, Mennatallah Ahmed Alnagdy, Marwa Rashad Salem, Rasha Ashmawy

“…Overall satisfaction was high across modules, increasing from 79.8% in Module 1 to 90.5% in Module 3. …”
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Detection of Citrus Huanglongbing in Natural Field Conditions Using an Enhanced YOLO11 Framework by Liang Cao, Wei Xiao, Zeng Hu, Xiangli Li, Zhongzhen Wu

“…To improve detection performance, the DCH-YOLO11 framework incorporates three novel modules: the C3k2 Dynamic Feature Fusion (C3k2_DFF) module, which enhances early and subtle lesion detection through dynamic feature fusion; the C2PSA Context Anchor Attention (C2PSA_CAA) module, which leverages context anchor attention to strengthen feature extraction in complex vein regions; and the High-efficiency Dynamic Feature Pyramid Network (HDFPN) module, which optimizes multi-scale feature interaction to boost detection accuracy across different object sizes. …”
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SDMA-Net: Swin Transformer-Based Dynamic Memory-Attention Network for Endoscopic Navigation by Runnan Zhang, Qi Tian, Jinghui Chu, Wei Lu

“…Additionally, a Dynamic Memory Augmentation Module (DMAM) adaptively updates and retrieves motion patterns to enhance robustness against noise and occlusions. …”
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A Temporal Network Based on Characterizing and Extracting Time Series in Copper Smelting for Predicting Matte Grade by Junjia Zhang, Zhuorui Li, Enzhi Wang, Bin Yu, Jiangping Li, Jun Ma

“…Finally, we implemented the TCN-TMHA module and used specific weighting mechanisms to assign weights to the input features and prioritize relevant key time step features. …”
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Attention-Guided Multi-Task Learning for Prostate Cancer Pelvic Lymph Node Metastasis Prediction by ZHANG Zhiyuan, HU Jisu, ZHANG Yueyue, QIAN Xusheng, ZHOU Zhiyong, DAI Yakang

“…To address the aforementioned issues, an attention-guided multi-task learning network with tumor segmentation as an auxiliary task is proposed for PLNM prediction. …”
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S3FCD: a single-temporal self-supervised learning framework for remote sensing image change detection by Wenqian Lv, Nian Shi, Keming Chen, Guangyao Zhou, Chunlei Huo

“…To improve the quality of the generated image pairs, a deep feature-based generator (DFG) module is designed based on the pre-trained model. …”
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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

“…Firstly, the standard Spatial Pyramid Pooling Fast module is replaced with a Multi-Channel Spatial Pyramid Pooling module. …”
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