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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A novel generative adversarial network framework for super-resolution reconstruction of remote sensing by Ruilin Li, Linzhi Wen, Songtao Shao, Ming Yu, Linda Mohaisen

“…The introduction of the diffusion module and attention mechanism effectively reduces noise and enhances image clarity, addressing common issues of texture distortion and artifacts in remote sensing image super-resolution reconstruction.…”
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A Self-Supervised Monocular Depth Estimation Framework Based on Detail Recovery and Feature Fusion by Shun Li, Chongzheng Huang, Xiangzhe Li, Zhengyou Liang

“…Based on the encoder-decoder architecture, EDFNet introduces three key modules: the Adaptive Selective Attention Module (ASAM), the Multi-Dimensional Attention Fusion Module (MDAFM), and the Hybrid Parallel Convolution Block (HPCB). …”
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PDSDC: Progressive Spatiotemporal Difference Capture Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…In the field of remote sensing change detection, the dynamic representation of temporal information and the fusion of multisource features have long been key scientific challenges. To address these issues, this article proposes a progressive spatiotemporal difference capture network. …”
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Photoplethysmogram (PPG)-Based Biometric Identification Using 2D Signal Transformation and Multi-Scale Feature Fusion by Yuanyuan Xu, Zhi Wang, Xiaochang Liu

“…During the feature extraction process, the SENet module is first introduced to enhance the ability to extract distinctive features. …”
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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

“…Furthermore, we integrate the AFPN module to enhance the model’s detection capability for targets of varying scales. …”
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A dense multi-pooling convolutional network for driving fatigue detection by Qing Han, Shimiao Cui, Weidong Min, Cong Yan, Li Liu, Feng Ning, Longfei Li

“…., when wearing glasses or in the presence of non-driver individuals). To address these issues, this paper proposes a driving fatigue detection method based on a novel network and the analysis of driver facial actions. …”
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ES-Net Empowers Forest Disturbance Monitoring: Edge–Semantic Collaborative Network for Canopy Gap Mapping by Yutong Wang, Zhang Zhang, Jisheng Xia, Fei Zhao, Pinliang Dong

“…Meanwhile, an edge detection module (EDM) was built to strengthen geometric constraints. …”
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A construction of heterogeneous transfer learning model based on associative fusion of image feature data by Wen-Fei Tian, Ming Chen, Zhong Shu, Xue-jun Tian

“…When heterogeneous transfer learning is applied some difficulties and further issues appear. For example, noise in image recognition appears and is required to be reduced. …”
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CDMRNet: multimodal meta-adaptive reasoning network with dynamic causal modeling and co-evolution of quantum states by Shengwei Wang, Keda Chen, Mengduo Yu, Pengjiao Zhao, Hui Duan

“…Ablation studies confirm the critical role of each module, particularly the quantum state fusion which contributes to a QED score of 73.0%, evidencing effective cross-modal entanglement. …”
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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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Wearable Fall Detection System with Real-Time Localization and Notification Capabilities by Chin-Kun Tseng, Shi-Jia Huang, Lih-Jen Kau

“…To address the aforementioned issues, we developed a portable, wearable device that integrates a microcontroller (MCU), an inertial sensor, and a chip module featuring Global Positioning System (GPS) and Narrowband Internet of Things (NB-IoT) technologies. …”
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A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…After achieving precise region segmentation through image processing, the geometric analysis module performs elliptical fitting on the flower head contour to obtain the main axis direction, performs curve fitting on the stem contour, and selects the tangent direction at the intersection point of the flower head. …”
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SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

“…Taking into account the unique characteristics of smoke and fire, the network incorporates a non-rigid object feature extraction module and a spatial awareness module, achieving improved performance. …”
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DSGRec: dual-path selection graph for multimodal recommendation by Zihao Liu, Wen Qu

“…Our model learns dual-path selection signals via a primary module and introduces two auxiliary modules to adjust these signals. …”
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YOLOv10-CBRC: A high-precision document image layout analysis model by Zhenjie Wu, Weilan Wang, Hongrui Li

“…However, two significant issues persist: (1) the inadequacy of Tibetan document datasets;(2) insufficient utilization of layout information by existing models. …”
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MSFNet3D: Monocular 3D Object Detection via Dual-Branch Depth-Consistent Fusion and Semantic-Guided Point Cloud Refinement by Rong Yang, Zhijie You, Renhui Luo

“…However, existing pseudo-lidar methods encounter challenges such as coarse quality and insufficient semantic information when generating 3D point clouds from monocular images. To address these issues, this paper introduces MSFNet3D, which aims to overcome the quality limitations of pseudo-lidar point cloud. …”
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Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments by Yi Wang, Xiang Li

“…First, we introduce the high-low frequency (HiLo) attention into the intra-scale feature interaction module to enhance the extraction of both high- and low-frequency features, reduce computational complexity, and improve detection performance. …”
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IMPROVING STUDENTS’ AUTONOMOUS WORK AT THE DEPARTMENT OF NERVOUS DISEASES WITH NEUROSURGERY AND MEDICAL GENETICS BY USAGE OF INNOVATIVE TECHNOLOGIES by N.V. Lytvynenko, H.Ya. Sylenko, V.A. Pinchuk, T.Yo. Purdenko, V.M. Hladka, Yu.I. Sylenko

“…Another option in the process of students’ autonomous work at the Department of Nervous Diseases with Neurosurgery and Medical Genetics, is the educational module aimed on independent supervision of patients followed by the writing of academic case histories. …”
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