CSCP-YOLO: A Lightweight and Efficient Algorithm for Real-Time Steel Surface Defect Detection by Chenglong Wang, Heng Wang, Yimin Jiang, Lei Yu, Xueting Wang

“…To accelerate defect detection, the SPPF-DW module efficiently fuses multi-scale defect features through optimized computational pathways. …”
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An efficient fire detection algorithm based on Mamba space state linear attention by Yuming Li, Yongjie Wang, Xiaorui Shao, Anbo Zheng

“…Instead, it performs dimensionality reduction on input features through adaptive average pooling and utilizes the state update mechanism of the SSM module to significantly enhance feature representation and optimize information flow. …”
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Crack Identification and Flaw Detection Eva-luation of Bolster Hanger Based on Machine Vision by YANG Fan, ZHAO Mengjiao, CHEN Ying, JIANG Xue

“…［Method］ To address the limitations of the YOLOv5 algorithm backbone network in capturing crack information, it is proposed to integrate the SimAM (similarity-aware attention module) mechanism into the backbone network to enhance the model′s sensitivity to crack information and its resistance to background noise interference synchronously. In addition, to overcome the potential information loss during the feature fusion stage of the Neck network, an enhanced BiFPN (bidirectional feature pyramid network) structure is introduced for efficient fusion of multi-scale feature maps. …”
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Cache Assignment for a Flexible Mobile User in Wireless Heterogeneous Networks by Mohammad Hossein Amerimehr, Parisa Eslami, Nahid Amani, sara Efazati

“…Moreover, in the system model, the interference and the mobility of users are considered. …”
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DC-WUnet: An Underwater Ranging Signal Enhancement Network Optimized with Depthwise Separable Convolution and Conformer by Xiaosen Liu, Juan Li, Jingyao Zhang, Yajie Bai, Zhaowei Cui

“…However, the assumption of Gaussian noise underlying most time–frequency domain algorithms limits their effectiveness in mitigating non-Gaussian interference. To address this issue, we propose a Deep-separable Conformer Wave-Unet (DC-WUnet)-based underwater acoustic signal enhancement network designed to reconstruct signals from interference and noise. …”
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SiamRhic: Improved Cross-Correlation and Ranking Head-Based Siamese Network for Object Tracking in Remote Sensing Videos by Afeng Yang, Zhuolin Yang, Wenqing Feng

“…We also introduce a ranking loss to reduce the classification confidence of interference objects, addressing the mismatch between classification and regression. …”
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Joint power control and user grouping for uplink power domain non-orthogonal multiple access by Bilal Ur Rehman, Mohammad Inayatullah Babar, Arbab Waheed Ahmad, Hesham Alhumyani, Gamil Abdel Azim, Rashid A. Saeed, Sayed Abdel Khalek

“…Orthogonal multiple access schemes based on assignment of communication resource blocks among multiple contenders, although widely available, still necessitate an upper limit on the number of concurrent users for minimization of multiple-user interference. The feature thwarts efforts to cater for pressing connectivity demands posed by modern-day cellular communication networks. …”
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Early Bearing Fault Diagnosis in PMSMs Based on HO-VMD and Weighted Evidence Fusion of Current–Vibration Signals by Xianwu He, Xuhui Liu, Cheng Lin, Minjie Fu, Jiajin Wang, Jian Zhang

“…These IMFs are then selected and reconstructed based on their kurtosis to suppress noise and harmonic interference. Subsequently, the reconstructed signals are demodulated using the Teager–Kaiser Energy Operator (TKEO), and both time-domain and energy spectrum features are extracted. …”
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YOLO-GML: An object edge enhancement detection model for UAV aerial images in complex environments. by Zhihao Zheng, Jianguang Zhao, Jingjing Fan

“…In order to reduce the interference of these situations in real detection scenes and improve the accuracy of UAV detection, a Global Edge Information Enhance (GEIE)module is proposed in this paper, which enables edge information to be fused into features extracted at various scales. …”
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Recent Progress in Ocean Intelligent Perception and Image Processing and the Impacts of Nonlinear Noise by Huayu Liu, Ying Li, Tao Qian, Ye Tang

“…It also reviewed adaptive image processing processes and their critical support for ocean image recognition and detection, such as image annotation, feature enhancement, and image segmentation. Research and practical applications show that nonlinear noise significantly affects underwater image processing. …”
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ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images by Jing Zhang, Hao Zhou, Kunyu Liu, Yuguang Xu

“…Firstly, we introduced the EMAGE (Efficient Multi-Scale Attention with Grouping and Expansion) module, which integrates the global distribution features and local texture details of diseased leaves in drone imagery through a multi-scale grouped attention mechanism, effectively mitigating the interference of complex background noise on feature extraction. …”
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FM-Net: Frequency-Aware Masked-Attention Network for Infrared Small Target Detection by Yongxian Liu, Zaiping Lin, Boyang Li, Ting Liu, Wei An

“…The challenges in IRSTD primarily come from extremely sparse target features and strong background clutter interference. …”
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Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

“…In the process of multi-scale feature fusion, the less efficient feature transmission nodes are deleted. …”
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A novel approach to palm vein image segmentation combining multi-scale convolution and swin-transformer networks by Wenshun Sheng, Ziling Zheng, Hanzhi Zhu

“…A feature fusion module suppresses background interference by integrating cross-layer information. …”
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Noise Immunity Radio Link Model in Dynamic Intentional Exposure by S. V. Dvornikov, A. V. Pshenichnikov

“…To ensure the required interference immunity of a radio link is a crucial task nowadays. …”
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Adaptive Control of Short-Wave Data Transmission System Parameters by V. V. Egorov

“…The distinguishing feature of the objective functions is the fact that they do not depend on threshold values established subjectively. …”
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Dynamic separate resource pool algorithm for vehicle-to-infrastructure communication by Jicheng Yin, Shengmin Zhao, Seung-Hoon Hwang

“…Moreover, NR-V2X sidelink feature allows users to randomly select a resource and maintain it for several periods, resulting in interference. …”
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Tea disease identification based on ECA attention mechanism ResNet50 network by Lanting Li, Yingding Zhao

“…By optimizing the ResNet50 architecture, adopting a multi-layer small convolution kernel strategy to enhance feature extraction capabilities, and introducing the ECA attention mechanism to focus on key features, the model achieves a 93.06% accuracy rate in tea disease identification, representing a 3.18% improvement over the original model, demonstrating industry-leading performance advantages. …”
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GSINet: Gradual Semantic Interaction Network for Remote Sensing Object Detection Based on Dual Attention Mechanism by Yuntao Xu, Qi Qi, Wei He, Guoyun Zhang, Siyuan Chen, Bing Tu

“…Second, we propose a novel dual attention mechanism that integrates our proposed adaptive context feature fusion module (ACFFM) with bilevel routing attention (BRA) to optimize feature representation, ACFFM enhances context-aware feature fusion by capturing both local and global information, whereas BRA routes attention across different scales, together, they enhance tiny object detection in remote sensing images by reducing background interference and improving feature discrimination. …”
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The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…Moreover, background noise interference is reduced by using object detection techniques. …”
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