AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…However, under real-world conditions such as poor image quality, environmental interference, and complex crack patterns, existing models still face challenges in detecting fine cracks and often rely on large training parameters, limiting their practicality in complex environments. To address these issues, this paper proposes a crack detection model based on adaptive feature quantization, which primarily consists of a maximum soft pooling module, an adaptive crack feature quantization module, and a trainable crack post-processing module. …”
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A Dual-Branches Multiscale Dynamic Partial Convolutional Attention Network for Remote Sensing Change Detection by Wenbin Tang, Shuli Cheng, Anyu Du

“…We introduce dynamic multiscale convolution attention module, which consists of multiscale context aggregation (MCA) module and dynamic partial convolution attention (DPCATT) module. …”
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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. by Kang Xu, Bin Pan, MingXin Zhang, Xuan Zhang, XiaoYu Hou, JingXian Yu, ZhiZhu Lu, Xiao Zeng, QingQing Jia

“…The method incorporates a multi-scale temporal attention module and a multi-scale temporal convolution module to extract multi-scale information. …”
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Detection method for dangerous behaviors of underground coal mine personnel by ZHANG Xuhui, YU Henghan, DU Yuyang, YANG Wenjuan, ZHAO Yihui, WAN Jicheng, WANG Yanqun, ZHAO Dian, TANG Duwei

“…The standard convolution was replaced with a hybrid DCNv4-PConv module, which combines the DCNv4 network and the deformable capability of the PConv module. …”
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MPVF: Multi-Modal 3D Object Detection Algorithm with Pointwise and Voxelwise Fusion by Peicheng Shi, Wenchao Wu, Aixi Yang

“…The IR module uses a group convolution strategy to inject high-level semantic features into the PWF and VWF modules, improving extraction efficiency. …”
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Left ventricular segmentation method based on optimized UNet and improved CBAM: ESV and EDV tracking study. by Kerang Cao, Miao Zhao, Minghui Geng, Shuai Zheng, Hoekyung Jung

“…By integrating the CBAM (Attention module) attention mechanism and a lightweight SimAM (Simple Attention Module) module, we enhance feature selectivity and minimize redundancy. …”
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Forest Fire Detection Algorithm Based on Improved YOLOv11n by Kangqian Zhou, Shuihai Jiang

“…First, the C3k2 module was redesigned using the FasterBlock module, replacing C3k2 with C3k2-Faster in both the Backbone network and Neck section to achieve a lightweight model design. …”
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Adaptive robust position control scheme for an electromagnetic levitation system with experimental verification. by Ziwei Wu, Kuangang Fan, Ping Yi

“…Firstly, a nonlinear model of the electromagnetic levitation ball system was established; Secondly, robust sliding mode control is combined with linear active disturbance rejection control, and an adaptive parameter tuning strategy is introduced for the PD module in LADRC; Meanwhile, an improved whale optimization algorithm was proposed to address the issue of excessive adjustable parameters in the controller; In addition, the stability and convergence of the control algorithm were proven using the Lyapunov equation; Finally, in order to verify the effectiveness of the control method, PID, LADRC, CS-LADRC, and I-LADRC were introduced for simulation analysis and experimental verification. …”
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RS-FeatFuseNet: An Integrated Remote Sensing Object Detection Model with Enhanced Feature Extraction by Yijuan Qiu, Jiefeng Xue, Gang Zhang, Xuying Hao, Tao Lei, Ping Jiang

“…Additionally, we optimized the C2f module of YOLOv8, which enhances the model’s representational capacity by introducing a parallel multi-branch structure to learn features at different levels, resolving feature scarcity issues. …”
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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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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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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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Interdisciplinary Teaching About Refugee and Migrant Policy and Experiences Using Simulation and Story by Emily Wierszewski, Roni Kay O'Dell

“…They then examined the issue from an individual level via refugee narratives, including participation in Narrative 4 story exchanges. …”
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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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Fisheye omnidirectional stereo depth estimation assisted with edge-awareness by Junren Sun, Hao Xue, Shibo Guo, Xunqi Zheng

“…We design an Edge-Aware Module (EAM) that dynamically weights features extracted by a Residual Convolutional Neural Network (Residual CNN) using the extracted edge information. …”
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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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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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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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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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A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions by Chengyao Liu, Fei Dong

“…Then, a new feature refinement module is designed to refine domain adaptation features from high-dimensional feature set by evaluating the fault distinguishability and working-condition invariance of feature data. …”
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