Enhancing Underwater Video from Consecutive Frames While Preserving Temporal Consistency by Kai Hu, Yuancheng Meng, Zichen Liao, Lei Tang, Xiaoling Ye

“…In addition, to address the limitations of traditional U-Net models in handling complex multiscale feature fusion, this study proposes a novel underwater feature fusion module. By applying both max pooling and average pooling, this module separately extracts local and global features. …”
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CDMRNet: multimodal meta-adaptive reasoning network with dynamic causal modeling and co-evolution of quantum states by Shengwei Wang, Keda Chen, Mengduo Yu, Pengjiao Zhao, Hui Duan

“…Ablation studies confirm the critical role of each module, particularly the quantum state fusion which contributes to a QED score of 73.0%, evidencing effective cross-modal entanglement. …”
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Multimodal Fusion Mamba Network for Joint Land Cover Classification Using Hyperspectral and LiDAR Data by Haizhu Pan, Ruixiang Zhao, Haimiao Ge, Moqi Liu, Quanxiu Zhang

“…Moreover, effectively integrating these heterogeneous features remains a significant difficulty. To address these issues, we propose the multimodal fusion Mamba network (M2FMNet), which consists of three key components: the spatial–spectral adaptive Mamba, the elevation-enhanced Mamba, and an enhanced fusion module. …”
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PATNet: Permute attention and transformer-enhanced network for segmentation of musculoskeletal ultrasound images by Yating Wu, Feng Bu, Jin Tian, Li Zhao, Guangfei Yang, Jianming Lu

“…To address the above issues, this paper proposes a deep learning model called PATNet (Permute Attention and Transformer-Enhanced Network for Segmentation of Musculoskeletal Ultrasound Images). …”
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CPD-KD: a cooperative perception network for discrepancy feature fusion through knowledge distillation by Caizhen He, Hai Wang, Tong Luo, Shunyao Zhang, Long Chen, Yingfeng Cai

“…To address these issues, we propose a Cooperative Perception network for Discrepancy feature fusion through Knowledge Distillation, named CPD-KD. …”
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DEFIF-Net: A lightweight dual-encoding feature interaction fusion network for medical image segmentation. by Zhanlin Ji, Shengnan Hao, Quanming Zhao, Zidong Yu, Hongjiu Liu, Lei Li, Ivan Ganchev

“…To address these issues, a lightweight Dual-Encoding Feature Interaction Fusion network (DEFIF-Net) is proposed in this paper for medical image segmentation. …”
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Multistage Convolutional Neural Network With Deformable Attention for Word-Level Offline Text-Independent Writer Identification by Manabu Okawa

“…We then improve the model’s ability to interpret and classify handwriting effectively by incorporating the insights of forensic document examiners through the use of a deformable attention module. The experimental validation on four public datasets, namely, IAM, CVL, Firemaker, and CERUG-EN, confirmed the effectiveness of the proposed method.…”
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Two-Dimensional Code Based Spatiotemporal Modeling and Its Application in Object Tracing by Yanghua Gao, Zhihua Zhang, Huanwen Wang, Hailiang Lu

“…Space-time consistency is of great importance for mapping things from physical world to cyber world, which could be one of the fundamental issues in constructing cyber-physical system (CPS). …”
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Study and Development of Photovoltaic Air Conditioning System by Chen Xuemei, Wang Ruzhu, Li Yong

“…On the other hand, the investments of PV air conditioning system have been decreased significantly due to the price drop of PV modules, the profit from the PV system and the reduction of total necessary PV module areas. …”
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TDQE：a quality evaluation method for text data in deep learning by LUO Chunxu, XIONG Haixu, YE Yazhen, DING Yan, ZONG Shize, XIONG Yun, ZHU Yangyong

“…Text data quality is an important factor affecting the performance of language models. and its evaluation methodology is considered decisive for model training effectiveness. To address the issues of high computational costs and incomplete evaluation metrics in existing text data quality assessment methods, a deep learning-oriented text data quality evaluation (TDQE) method was proposed. …”
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L’identité professionnelle de futurs enseignants de l’école primaire au prisme des langues-cultures by Séverine Behra, Agathe Chassard, Hélène Erikson, Églantine Guely Costa, Dominique Macaire, Kossi Seto Yibokou

“…The professional identity of teachers of (foreign) languages and cultures deserves to be considered in the light of diverse multilingual and societal contexts, as well as the issues linked to every student’s academic achievement, as suggested by recent international reports (OECD, 2022).Our study is based on the end-of-module assessment of language didactics students in the first year of a master’s degree in primary education (in France). …”
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Teaching Critical Thinking in Sport Sociology by Conor Heffernan

“…The assignment had two main objectives: to challenge students to engage meaningfully with academic research and apply it to real-world situations by simulating real-world conditions and to help students consider the limitations of ChatGPT when handling real-world scenarios. Despite some issues that arose during the module, student feedback and coursework indicated that this approach was engaging, fun, and creative for students. …”
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Integrated Urban Design Methodology of “Planning-Construction-Management” and Intelligent Management and Control Based on Teaching Reproduction Robot by Haipeng Wang

“…Among them, the management and control cover the design control, the quality supervision, the schedule control module, the safety control, the video monitoring, and the facility movement control. …”
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ICRL: independent causality representation learning for domain generalization by Liwen Xu, Yuxuan Shao

“…In this work, we design three independent feature modules using GAN variants (GAN, WGAN, and WGAN-GP) and select the best-performing WGAN module to integrate into the existing causal model framework, constructing an independent causal relationship learning (ICRL) model. …”
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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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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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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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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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MSDP-Net: A YOLOv5-Based Safflower Corolla Object Detection and Spatial Positioning Network by Hui Guo, Haiyang Chen, Tianlun Wu

“…This approach is designed to overcome issues related to the small size of safflower corollas and their tendency to be occluded in complex agricultural environments. …”
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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

“…Axle loads and speed, insufficient rail hardness, environmental factors, wear, and corrosion lead to corrugation, ballast issues, and other track surface faults that lead to accidents. …”
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