Multitask semantic change detection guided by spatiotemporal semantic interaction by Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang

“…To further enhance detection performance, a dynamic depthwise separable convolution is designed in the CTIM module, which can adaptively adjust convolution kernels to more precisely capture change features in different regions of the image. …”
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Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network by Huang Xiao, Hanqing Jian

“…However, the negative impact of covariate shifts among data channels on diagnostic accuracy is an issue that is often overlooked in data-driven algorithms based on multi-channel data. …”
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Video anomaly detection via cross-modal fusion and hyperbolic graph attention mechanism by JIANG Di, LAI Huicheng, WANG Liejun

“…Secondly, to address the issue of modal asynchrony in multimodal data, a modal consistency alignment module was proposed, which aligned modal semantics along the temporal frame sequence to ensure both temporal and semantic consistency in multimodal data. …”
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A lip reading method based on adaptive pooling attention Transformer by YAO Yun, HU Zhenxiao, DENG Tao, WANG Xiao

“…This module effectively suppressed irrelevant information and enhances the representation of key features. …”
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The lip reading method based on Adaptive Pooling Attention Transformer by YAO Yun, HU Zhenxiao, DENG Tao, WANG Xiao

“…This module helps suppress irrelevant information and enhances the representation of key features. …”
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A lightweight detection algorithm of PCB surface defects based on YOLO. by Shiwei Yu, Feng Pan, Xiaoqiang Zhang, Linhua Zhou, Liang Zhang, Jikui Wang

“…Afterwards, the Swin-Transformer is integrated with the C3 module in the Neck to build the C3STR module, which aims to address the issue of cluttered background in defective images and the confusion caused by simple defect types. …”
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CME Arrival Time Prediction via Fusion of Physical Parameters and Image Features by Yufeng Zhong, Dong Zhao, Xin Huang, Long Xu

“…First, we design a parameter feature extraction module that extracts features from CME physical parameters. …”
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Design of an Electronic Nose System with Automatic End-Tidal Breath Gas Collection for Enhanced Breath Detection Performance by Dongfu Xu, Pu Liu, Xiangming Meng, Yizhou Chen, Lei Du, Yan Zhang, Lixin Qiao, Wei Zhang, Jiale Kuang, Jingjing Liu

“…Therefore, accurate collection of end-tidal breath gases is crucial to enhance electronic noses’ performance in breath detection. Regarding this issue, this study proposes a novel electronic nose system and employs a threshold control method based on exhaled gas flow characteristics to design a gas collection module. …”
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Formation of buckling resistance in a transfemoral prosthesis by G. N. Burov, O. L. Belyanin, M. V. Chernikova, V. A. Bol'shakov, A. S. Drobakha

“…In more complex multi-axis module designs, there is a so-called geometric lock. …”
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CPCROK: A Communication-Efficient and Privacy-Preserving Scheme for Low-Density Vehicular Ad Hoc Networks by Junchao Wang, Honglin Li, Yan Sun, Chris Phillips, Alexios Mylonas, Dimitris Gritzalis

“…Specifically, the CPCROK consists of three main modules: firstly, a special Kalman filter module that provides real-time, coarse-grained vehicle trajectory estimates to reduce the need for real-time vehicle state information; secondly, a Recurrent Neural Network (RNN) module that enhances predictions within the mix zone by incorporating offline data engineering and considering online vehicle steering angles; and finally, a trajectory generation module that collaborates with the first two to generate highly convincing fake trajectories outside the mix zone. …”
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Synergistic Semantic Segmentation and Height Estimation for Monocular Remote Sensing Images via Cross-Task Interaction by Xuanang Peng, Shixin Wang, Futao Wang, Jinfeng Zhu, Suju Li, Longfei Liu, Zhenqing Wang

“…Finally, we propose a task feature interaction module to optimize features across tasks through mutual optimization, maximizing task-specific feature expression. …”
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Cascade DeepLab Net: A Method for Accurate Extraction of Fragmented Cultivated Land in Mountainous Areas Based on a Cascaded Network by Man Li, Renru Wang, Ana Dai, Weitao Yuan, Guangbin Yang, Lijun Xie, Weili Zhao, Linglin Zhao

“…This model enhances the accuracy of cultivated land extraction in complex terrains by incorporating the Style-based Recalibration Module (SRM), Spatial Attention Module (SAM), and Refinement Module (RM). …”
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Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

“…Secondly, based on the idea of using dilated convolutions to expand the receptive field of feature maps, a hybrid atrous spatial pyramid pooling module is designed. By utilizing a serial structure of dilated convolutions with small dilation rates, this module addresses the issue of feature information loss when expanding the receptive field through dilated spatial pyramid pooling. …”
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MFCEN: A lightweight multi-scale feature cooperative enhancement network for single-image super-resolution by Jiange Liu, Yu Chen, Xin Dai, Li Cao, Qingwu Li

“…The network introduced a novel comprehensive integrated multi-level feature module, leveraging the strong local perceptual capabilities of CNNs and the superior global information processing of transformers. …”
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Cotton Leaf Disease Detection Using LLM-Synthetic Data and DEMM-YOLO Model by Lijun Gao, Tiantian Ran, Hua Zou, Huanhuan Wu

“…To tackle the challenges of large-scale variations and irregular lesion distribution, we design a multi-scale feature aggregation module (MFAM). This module integrates multi-scale semantic information through a lightweight, multi-branch convolutional structure, enhancing the model’s ability to detect small-scale lesions. …”
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Assessing the effects of online educational intervention on pharmaceutical promotions: a pre–post study among medical and pharmacy students in Pakistan by Ali Hassan Gillani, Ali Hassan Gillani, Ali Hassan Gillani, Hafsa Arshad, Hafsa Arshad, Hafsa Arshad, Caijun Yang, Caijun Yang, Caijun Yang, Muhammad Arshed, Naveel Atif, Naveel Atif, Naveel Atif, Kamran Bashir, Hafiz Muhammad Abbas Malik, Yu Fang, Yu Fang, Yu Fang

“…The module was developed by information from the WHO/HAI module on pharmaceutical promotion. …”
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Analysis of Temperature Characteristics of Double-Row Spherical Roller Bearings Based on CFD by Chengguo Fu, Ting Chen, Hui Yang, Haibo Li, Yuhao Li, Yaqi Zhang, Weiwei He, Hongbin Cong

“…In practice, these bearings are lubricated manually, and the bearing chamber is filled with grease, which can lead to issues such as grease wastage and increased bearing temperatures. …”
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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…Secondly, by designing a new feature aggregation module, it can simultaneously fuse channel and spatial information as well as local and global information to improve the representation of the network. …”
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Re-Parameterization After Pruning: Lightweight Algorithm Based on UAV Remote Sensing Target Detection by Yang Yang, Pinde Song, Yongchao Wang, Lijia Cao

“…Consequently, this paper presents a refined iteration of the lightweight object detection algorithm to address the above issues. The MobileNetV3 based on the efficient channel attention (ECA) module is used as the backbone network of the model. …”
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A robust and effective framework for 3D scene reconstruction and high-quality rendering in nasal endoscopy surgery by Xueqin Ji, Xueqin Ji, Shuting Zhao, Shuting Zhao, Di Liu, Feng Wang, Xinrong Chen, Xinrong Chen

“…Additionally, a novel model named Mip-EndoGS is proposed, which integrates 3D Gaussian Splatting for reconstruction and rendering and a diffusion module to reduce image blurring in endoscopic data. …”
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