The effect of rehabilitation on quality of life in female breast cancer survivors in Iran by Poorkiani M, Abbaszadeh A, Hazrati M, Jafari P, Sadeghi M, Mohammadianpanah M

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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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A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses by Zixuan Zhou, Lihua Li, Hao Xue, Yuchen Jia, Yao Yu, Zongkui Xie, Yuhan Gu

“…The YOLOv10-BCE panting behavior detection model was developed by embedding the BiFormer module into the backbone network to enhance multi-dimensional feature extraction, compressing neck structure parameters using the C3Ghost module, and integrating Efficient Intersection over Union (EIOU) loss to improve detection accuracy and convergence speed. …”
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Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR by Ao Xu, Yanwei Li, Hongbo Xie, Rui Yang, Jianjie Li, Jiaying Wang

“…In response to the issue of poor detection performance on wafer surface defect spots and elongated scratches, an improved RT-DETR method for wafer surface defect detection is proposed. …”
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Causes of the Outer Spiral Rainbands in Typhoon Yagi （ 2018） in Shandong Province of China by Chunyan SHENG, Sudan FAN, Qiaona QU, Shijun LIU, Wengang ZHU

“…What are the differences between outer spiral rainbands？ These issues deserve further studies.…”
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DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring by Xiao Chen, Xinting Yang, Huan Hu, Tianjun Li, Zijie Zhou, Wenyong Li

“…The DMC module improves multi-scale feature extraction to enable the effective capture and merging of features across different detection scales while reducing network parameters. …”
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Stealthy Vehicle Adversarial Camouflage Texture Generation Based on Neural Style Transfer by Wei Cai, Xingyu Di, Xin Wang, Weijie Gao, Haoran Jia

“…However, most of the existing adversarial camouflage textures that attack object detection models only consider the effectiveness of the attack, ignoring the stealthiness of adversarial attacks, resulting in the generated adversarial camouflage textures appearing abrupt to human observers. To address this issue, we propose a style transfer module added to an adversarial texture generation framework. …”
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A flare removal network for night vision perception: Resistant to the interference of complex light by Yan Liu, Guan Huang, Wenting Qi, Yujie Li

“…Abstract The high‐precision visual perception results are easily affected by the lens flare issue when the image sensor is facing to strong light. …”
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Deadbeat Predictive Current Control Strategy for Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Adaptive Sliding Mode Observer by Bo Gao, Guoqiang Zhang, Gaolin Wang, Dianguo Xu

“…The adaptive control parameter module suppresses the chattering phenomenon in sliding mode control and enhances the observer’s adaptability under varying load conditions. …”
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AC-MLP: Axial Convolution-MLP Mixer for nuclei segmentation in histopathological images by Nguyen Thanh Thu, Dinh Binh Duong, Tran Thi Thao, Pham Van Truong

“…We also proposed a Long-range Attention module that uses dilated convolution to extend the convolutional kernel size, thereby addressing the issue of long-range dependencies. …”
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Radar Compound Jamming Recognition Based on Image Segmentation and Fused Attention Residual Network by Peishan Li, Jian Yang, Jiaao Lin

“…Compound jamming is difficult to recognize due to a wide array of diverse compound patterns. To address this issue, this study proposes a method for the segmentation and recognition of compound jamming signals. …”
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STMSF: Swin Transformer with Multi-Scale Fusion for Remote Sensing Scene Classification by Yingtao Duan, Chao Song, Yifan Zhang, Puyu Cheng, Shaohui Mei

“…Therefore, in this paper, a Swin transformer with multi-scale fusion (STMSF) is proposed to alleviate such an issue. Specifically, a multi-scale feature fusion module is proposed, so that features of ground objects at different scales in the RS scene can be well considered by merging multi-scale features. …”
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Adaptive feature interaction enhancement network for text classification by Rui Su, Shangbing Gao, Kefan Zhao, Junqiang Zhang

“…Abstract Text classification aims to establish text distinctions, which face difficulty in capturing global text semantics and local details. To address this issue, we propose an Adaptive Feature Interactive Enhancement Network (AFIENet). …”
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Weamba: Weather-Degraded Remote Sensing Image Restoration with Multi-Router State Space Model by Shuang Wu, Xin He, Xiang Chen

“…Specifically, we develop a local-enhanced state space module to better aggregate rich local and global information, both of which are complementary and beneficial for high-quality image reconstruction. …”
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VFQB: A Novel Deep Learning Model for Rolling Bearing Fault Diagnosis by Zhiru Xiao, Yanfang Xu, Junjie Cui

“…Next, a Bidirectional Gated Recurrent Unit (BiGRU) module is introduced to capture the temporal characteristics of the feature signals. …”
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An Enhanced and Unsupervised Siamese Network With Superpixel-Guided Learning for Change Detection in Heterogeneous Remote Sensing Images by Zhiyuan Ji, Xueqian Wang, Zhihao Wang, Gang Li

“…In this article, we consider the issue of change detection (CD) for heterogeneous remote sensing images. …”
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SemABC: Semantic-Guided Adaptive Bias Calibration for Generative Zero-Shot Point Cloud Segmentation by Yuyun Wei, Meng Qi

“…Furthermore, we introduce an adaptive bias calibration module that dynamically integrates the predictions from both the main and auxiliary branches to achieve unbiased segmentation results. …”
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MobileDepth: Monocular Depth Estimation Based on Lightweight Vision Transformer by Yundong Li, Xiaokun Wei

“…To address the aforementioned difficulties, in this study, we propose a Dilated Self Attention Block (DSAB) as well as a Local and Global Feature Extraction (LGFE) module. The former resolves the inference speed issue of standard ViT models, and we accomplish this by limiting the number of self-attention computations among tokens. …”
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Car Hacking: Accessing and Exploiting the CAN Bus Protocol by Bryson R. Payne

“…This article describes the integration of a module on car hacking into a semester-long ethical hacking cybersecurity course, including full installation and setup of all the open-source tools necessary to implement the hands-on labs in similar courses. …”
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Semantic Segmentation-Driven Knowledge Distillation-Based Infrared Visible Image Fusion Framework by Xingshuo Wang

“…Additionally, the introduction of two discriminators further optimizes the overall quality of the fused images, while the integration of a semantic segmentation module ensures that the fused images provide valuable support for advanced vision tasks. …”
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