Rotation-Invariant Feature Enhancement with Dual-Aspect Loss for Arbitrary-Oriented Object Detection in Remote Sensing by Zhao Hu, Xiangfu Meng, Xinsong Liu, Zhuxiang Sun

“…Furthermore, a rotation feature fusion (RFF) module propagates these rotation-aware features across hierarchical levels through an attention-guided fusion strategy, resulting in richer, more discriminative representations at multiple scales. …”
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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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A Chinese Few-Shot Named-Entity Recognition Model Based on Multi-Label Prompts and Boundary Information by Cong Zhou, Baohua Huang, Yunjie Ling

“…To address these two issues, we propose a Chinese few-shot named-entity recognition model that integrates multi-label prompts and boundary information (MPBCNER). …”
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A Moving Object Detection Method Based on Conditional Information and Feature Deepening by Hongrui Zhang, Luxia Yang

“…Next, a multiscale feature refinement module is devised to further explore the rich semantic information in the deep feature, thereby enhancing the feature representation capability of the network. …”
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Feature separation and non-shadow information-guided shadow removal network by HUANG Ying, FANG Shaojie, CHENG Bin, JIANG Mao, QIAN Ying

“…To tackle the performance bottlenecks and color deviation issues stemming from current shadow removal methods, a feature separation and non-shadow information guided shadow removal network (FSNIG-ShadowNet) was constructed. …”
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Psychosynthesis using Empathic Love Therapy (ELT) to reduce Depression and Anxiety Case Report on a group of Emerging Adults by Leonardus Edwin Gandawijaya, Kwartarini Wahyu Yuniarti

“…Although various interventions exist to address these issues, group psychosynthesis offers efficient treatment in developing countries. …”
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La difficile articulation du présentiel et de la distance dans le cadre d'un cours hybride en master by Thierry Soubrié

“…In this article, I will try to answer these questions, through the analysis of an experimental hybrid module being offered on the first year of the Masters: "Information technology and communication for teaching/learning of French as a foreign language".…”
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Do we know the chemical bond? A case for the ethical teaching of undefined paradigms by Kozuch Sebastian

“…We propose that these definitions, including their theoretical, practical and even philosophical issues, should be taught to advanced undergraduate chemistry students as an essential introduction to the chemical bond module of quantum chemistry courses. …”
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Research on the Low-voltage Distribution and Data Acquisition System ofAutonomous-rail Rapid Tram by CHEN Chaolu, LUO Huang, DONG Qiai, XIE Bin

“…It is difficult to implement load status information monitoring and management issues for low-voltage power distribution system composed of traditional electrical components such as relays and circuit breakers. …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Subsequently, the CapAgingNet model is introduced, incorporating key technical modules to enhance performance: the Deep Stem module, which extracts larger receptive fields through multiple convolution layers and mitigates the impact of data sparsity in capacitor aging on feature extraction; the efficient channel attention (ECA) module, utilizing one-dimensional convolution for dynamic weighting to adjust the importance of each channel, thereby enhancing the ability of the model to process high-dimensional features in capacitor aging data; and the multiscale feature fusion (MSF) module, which integrates capacitor aging information across different scales by combining fine-grained and coarse-grained features, thus improving the capacity of the model to capture high-frequency variation characteristics. …”
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SARFA-Net: Shape-Aware Label Assignment and Refined Feature Alignment for Arbitrary-Oriented Object Detection in Remote Sensing Images by Yan Dong, Minghong Wei, Guangshuai Gao, Chunlei Li, Zhoufeng Liu

“…To alleviate the above issues, in this article, a novel SARFA-Net is proposed, incorporating a Shape-Aware Label Assignment (SALA) strategy and Refined Feature Alignment module (RFAM). …”
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A Full-Scale Shadow Detection Network Based on Multiple Attention Mechanisms for Remote-Sensing Images by Lei Zhang, Qing Zhang, Yu Wu, Yanfeng Zhang, Shan Xiang, Donghai Xie, Zeyu Wang

“…Finally, to address the issue of important information from the other two modules being lost due to continuous upsampling during the decoding phase, we proposed an auxiliary branch module to assist the main branch in decision-making, ensuring that the final output retained the key information from all stages. …”
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CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images by Sadia Din, Muhammad Shoaib, Erchin Serpedin

“…Despite progress, these issues highlight the need for improved approaches to overcome segmentation difficulties and enhance diagnostic reliability. …”
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Multiscale Task-Decoupled Oriented SAR Ship Detection Network Based on Size-Aware Balanced Strategy by Shun He, Ruirui Yuan, Zhiwei Yang, Jiaxue Liu

“…First, the multiscale target features are extracted using the multikernel heterogeneous perception module (MKHP). Meanwhile, the triple-attention module is introduced to establish the remote channel dependence to alleviate the issue of small target feature annihilation, which can effectively enhance the feature characterization ability of the model. …”
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CycleGuardian: a framework for automatic respiratory sound classification based on improved deep clustering and contrastive learning by Yun Chu, Qiuhao Wang, Enze Zhou, Ling Fu, Qian Liu, Gang Zheng

“…Then, CycleGuardian integrates a deep clustering module with a similarity-constrained clustering component to improve the ability to capture abnormal features and a contrastive learning module with group mixing for enhanced abnormal feature discernment. …”
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Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network by Wende Dong, Yanli Zhang, Luqi Hu, Songde Liu, Chao Tian

“…We further incorporate a gamma correction module to enhance the contrast of the network’s output. …”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…In response to practical issues such as the complex structure of offshore platform scenes and the overlap of associated oil spill targets, a deformable convolution DCNv2 module is introduced to improve the model’s recognition accuracy for multi-shaped targets. …”
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SE-TransUNet-Based Semantic Segmentation for Water Leakage Detection in Tunnel Secondary Linings Amid Complex Visual Backgrounds by Renjie Song, Yimin Wu, Li Wan, Shuai Shao, Haiping Wu

“…An intelligent leakage identification model adaptable to complex backgrounds is therefore needed. To address these issues, a Vision Transformer (ViT) was integrated into the UNet architecture, forming an SE-TransUNet model by incorporating SE-Block modules at skip connections between the encoder-decoder and the ViT output. …”
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An Optimization Method for PCB Surface Defect Detection Model Based on Measurement of Defect Characteristics and Backbone Network Feature Information by Huixiang Liu, Xin Zhao, Qiong Liu, Wenbai Chen

“…Additionally, SLFFM employs the bi-level routing attention (BRA) mechanism as a feature aggregation module, mitigating defect-background similarity issues. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Abstract Weld defect detection poses significant challenges including ambiguous boundaries, diverse defect shapes, and the requirement for precise localization. To address these issues, we propose DSF-YOLO, a novel framework specifically designed for pipeline weld defect detection. …”
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