A Novel Dynamic Context Branch Attention Network for Detecting Small Objects in Remote Sensing Images by Huazhong Jin, Yizhuo Song, Ting Bai, Kaimin Sun, Yepei Chen

“…Within each branch, a Context Adaptive Selection Module (CASM) dynamically weights information, allowing the model to focus on the most relevant context. …”
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HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network by Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao

“…The Scale Sequence Feature Fusion Module (SSFF) and Triple Feature Encoding Module (TFE) from the ASF-YOLO are introduced to improve the model’s capacity to extract features across various scales, and on this basis, to improve the model’s capacity to detect small targets, a P2 feature layer is included. …”
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Human Brain-Inspired Network Using Transformer and Feedback Processing for Cell Image Segmentation by Hinako Mitsuoka, Kazuhiro Hotta

“…We further propose Lite Feedback Module, a computationally efficient alternative to conventional feedback modules. …”
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CGLCS-Net: Addressing Multi-Temporal and Multi-Angle Challenges in Remote Sensing Change Detection by Ke Liu, Hang Xue, Caiyi Huang, Jiaqi Huo, Guoxuan Chen

“…We propose the Context-Aware Global-Local Subspace Attention Change Detection Network (CGLCS-Net) to resolve these issues and introduce the Global-Local Context-Aware Selector (GLCAS) and the Subspace-based Self-Attention Fusion (SSAF) module. …”
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A fish counting model based on pyramid vision transformer with multi-scale feature enhancement by Jiaming Xin, Yiying Wang, Dashe Li, Zhongliang Xiang

“…This mechanism facilitates information exchange between areas of low and high fish density, addressing the issue of nonuniform density distribution. Subsequently, a spatial domain multi-scale edge enhancement module is introduced to enhance the detection of fish edge features. …”
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Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism by Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang

“…The Channel Attention module is then applied to weight different feature channels, highlighting important information and reducing redundancy. …”
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Network and Dataset for Multiscale Remote Sensing Image Change Detection by Shenbo Liu, Dongxue Zhao, Yuheng Zhou, Ying Tan, Huang He, Zhao Zhang, Lijun Tang

“…A global multiscale feature fusion module is designed to achieve global multiscale feature fusion and obtain multiscale high-level semantic change features. …”
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Change Detection on Remote Sensing Images Using Multidimensional Attention Network by Yiming Zhang, Mingliang Xue, Yao Lu, Xuan Liang, Pengyuan Niu, Xueqian Wang, You He

“…Second, the multiscale feature enhancement module is employed, integrating multiscale convolution branches to capture a broader context, thus addressing the issue of missing small-scale changes. …”
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Oil Spill Detection in PolSAR Imagery Using Composite Scattering Power Entropy and Multiscale Hybrid Feature Fusion Network by Deliang Xiang, Yu Lu, Dongdong Guan, Guannan Li, Jianda Cheng, Bangjie Li

“…The issue of marine oil spills has been receiving increasing attention. …”
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Detection of Welding Defects Tracked by YOLOv4 Algorithm by Yunxia Chen, Yan Wu

“…The recall rate of the original YOLOv4 model for detecting internal defects in aluminum alloy welds is relatively low. To address this issue, this paper introduces an enhanced model, YOLOv4-cs1. …”
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ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction. by Yunyun Dong, Yuanrong Zhang, Yuhua Qian, Yiming Zhao, Ziting Yang, Xiufang Feng

“…Personalized cancer drug treatment is emerging as a frontier issue in modern medical research. Considering the genomic differences among cancer patients, determining the most effective drug treatment plan is a complex and crucial task. …”
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Flipped classrooms: Action research to improve practice within an HE nursing context by Matt Smith, Amanda Turner

“…This article explores the importance of careful design when using a flipped classroom to support the learning of an Anatomy and Physiology module for year one undergraduate nursing students. …”
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Small sample data pricing research based on Reptile algorithm by Junxin Shen, Yi Yang, Fanghao Xiao

“…The methods proposed in this research are universally applicable for addressing the small sample problem in data pricing, providing a reference for solving similar issues. …”
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An Algorithm of Factor Graph Optimization for 3D Map of Unmanned Exploration Vehicle in Tunnel Environment by Jian Xie, Rao Li, Jing Li, Aoshu Xu

“…The front-end point cloud registration module and the back-end construction algorithm based on filtering and graph optimization are designed. …”
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Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM. by Wei Liu, Sen Liu

“…To address the issue of low accuracy in existing remaining useful life (RUL) prediction algorithms for rolling bearings, this paper proposes a novel RUL prediction method based on the Beluga Whale Optimization (BWO) algorithm, Variational Mode Decomposition (VMD), an improved Convolutional Block Attention Module (CBAM*), and a Bidirectional Long Short-Term Memory (BiLSTM) network. …”
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ASSESSMENT OF THE EFFICIENCY OF THE USE OF ADDITIONAL HOLDING DEVICES TO IMPROVE THE STABILITY OF SHEET PILES MADE OF POLYVINYLCHLORIDE by K. Yu. Zhukov, A. A. Levchenk, K. N. Potsepnya

“…This article discusses options for additional restraints for support structures made from polymer dowels. The issue of increasing the stability of polymer sheet piles plays a key role in the design and construction of facilities using this type of material. …”
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A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier by Bowen Shi, Hongjian You, Huixian Wang

“…To address the issue of missing target information, the method incorporates a stereo-vision-based mechanism to complete the localization region. …”
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Analysis of vehicle-guideway coupling vibration response for a new medium-low speed maglev levitation bogie by ZUO Feifei, ZHANG Min, MA Weihua, LUO Shihui, WANG Aibin

“…Vehicle-guideway coupling vibration is an important issue in the operation of maglev trains. In this paper, based on a new medium-low speed maglev running mechanism, the vehicle-guideway coupling vibration response was analyzed to determine the rationality of its structure. …”
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SE-ResNet based disturbance identification algorithm for microthrust measurement system by Mingming Han

“…The Squeeze-and-Excitation (SE) module is incorporated to optimize the network, as it can adaptively enhance important features. …”
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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

“…Botnets pose a great threat to the Internet, and early detection is crucial for maintaining cybersecurity.However, in the early stages of botnet discovery, obtaining a small number of labeled samples restricts the training of current detection models based on deep learning, leading to poor detection results.To address this issue, a botnet detection method called BT-RN, based on metric learning, was proposed for small sample backgrounds.The task-based meta-learning training strategy was used to optimize the model.The verification set was introduced into the task and the similarity between the verification sample and the training sample feature representation was measured to quickly accumulate experience, thereby reducing the model’s dependence on the labeled sample space.The feature-level attention mechanism was introduced.By calculating the attention coefficients of each dimension in the feature, the feature representation was re-integrated and the importance attention was assigned to optimize the feature representation, thereby reducing the feature sparseness of the deep neural network in small samples.The residual network design pattern was introduced, and the skip link was used to avoid the risk of model degradation and gradient disappearance caused by the deeper network after increasing the feature-level attention mechanism module.…”
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