Super-leading logarithms in pp → 2 jets by Thomas Becher, Patrick Hager, Giuliano Martinelli, Matthias Neubert, Dominik Schwienbacher, Michel Stillger

“…Abstract Jet observables at hadron colliders feature “super-leading” logarithms, double-logarithmic corrections resulting from a breakdown of color coherence due to complex phases in hard-scattering amplitudes. …”
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Analytical model for predictable contact in intermittently connected cognitive radio ad hoc networks by Long Zhang, Fan Zhuo, Chunhong Bai, Haitao Xu

“…In this article, an analytical model for predictable contact between two cognitive users in the intermittently connected cognitive radio ad hoc networks is proposed. The salient feature of the model is that it establishes a relationship between contact availability and the intermittently connected cognitive radio ad hoc network design parameters including cognitive user transmission range, velocity of cognitive user, direction of cognitive user, velocity of primary user, direction of primary user, and interference radius of primary user. …”
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Downhole Pressure Pulse Signal Recognition Based on SSA-CNN-LSTM by JIANG Panqin, LIU Xingbin, JIANG Zhicheng, LI Shanwen, HE Zhuang

“…The experimental results show that through the mechanisms of spatio-temporal feature fusion and parameter adaptive optimization, this model effectively suppresses the accuracy degradation of pressure pulse prediction caused by downhole unsteady-state interference, provides a highly robust signal processing solution for the wireless transmission scenarios of intelligent water injection systems, verifies the technical feasibility of analyzing industrial time-series data under complex working conditions, and provides theoretical support for the real-time monitoring and precise control of downhole intelligent equipment.…”
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A Focal Attention-Based Large Convolutional Kernel Network for Anomaly Detection of Coated Fuel Particles by Zhaochuan Hu, Jiang Yu, Hang Zhang, Jian Liu, Ning Chen, Rong Li

“…First, incomplete particles in edge regions introduce significant interference. Second, some anomalies exhibit weak morphological features, making them difficult to detect. …”
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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. To address these challenges, this paper proposes AC-YOLO, a novel lightweight SAR ship detection model based on YOLO11. …”
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Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…These modules aim to enhance the feature extraction robustness and to eliminate interference from irrelevant features. …”
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DMCCT: Dual-Branch Multi-Granularity Convolutional Cross-Substitution Transformer for Hyperspectral Image Classification by Laiying Fu, Xiaoyong Chen, Yanan Xu, Xiao Li

“…The proposed model adopts a dual-branch structure to separately extract spatial and spectral features, thereby mitigating mutual interference and information loss between spectral and spatial data during feature extraction. …”
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SAR-MINF: A Novel SAR Image Descriptor and Matching Method for Large-Scale Multidegree Overlapping Tie Point Automatic Extraction by Shuo Li, Xiongwen Yang, Xiaolei Lv, Jian Li

“…Additionally, to reduce layover interference in SAR images, we introduce a GMPC-Harris feature point extraction method with layover perception. …”
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Knowledge distillation-enhanced marine optical remote sensing object detection with transformer and dual-path architecture by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Jinlin Chen

“…The encoder integrates a Holistic Focal Feature Interwined (HFFI) module that employs parallel pathways to progressively refine local textures and global semantic representations, enabling adaptive feature fusion across spatial hierarchies. …”
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DMN-YOLO: A Robust YOLOv11 Model for Detecting Apple Leaf Diseases in Complex Field Conditions by Lijun Gao, Hongwu Cao, Hua Zou, Huanhuan Wu

“…Accurately identifying apple leaf diseases in complex field environments is a critical concern for intelligent agriculture, as early detection directly affects crop health and yield outcomes. However, accurate feature recognition remains a significant challenge due to the complexity of disease symptoms, background interference, and variations in lesion color and size. …”
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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…Firstly, the global background and edge information are adaptively extracted via the MSA-SPPF module in order to obtain a more comprehensive feature representation. Furthermore, the anti-interference ability of the model is enhanced through the deformability of attention and the large convolution kernel characteristics. …”
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Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

“…It fuses shallow and deep features through skip connections, realizes multi-scale feature extraction, and enhances attention to the target area through the triplet attention module. …”
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WDS-YOLO: A Marine Benthos Detection Model Fusing Wavelet Convolution and Deformable Attention by Jiahui Qian, Ming Chen

“…Secondly, we designed the DASPPF module by integrating deformable attention, which dynamically adjusts the attention domain to enhance feature relevance to targets, reducing irrelevant information interference and better adapting to marine benthos shape variations. …”
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A Relative Attitude Detection Method for Unmanned Aerial Vehicles Based on You Only Look Once Framework by Jingting Qiu, Feifan Yu, Fengrui Xu, Xinmin Chen, Jiqiang Wang

“…Within URA-YOLO, we propose an enhanced multiscale feature fusion (EMF) module that increases the network’s perceptual range and extracts feature information corresponding to various image sizes. …”
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Collaborative probability based multimodel target identification in wireless sensor networks by SUN Xin-yao, WANG Xue, WANG Sheng

“…A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.…”
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USING RADIO FREQUENCY CURRENT TRANSFORMERS INSTEAD OF THE ROGOWSKI COILS IN HIGH VOLTAGE ROTATING EQUIPMENT by T.K. Nurubeyli, Z.K. Nurubayli, I.M. Ismayilov, G.N. Mammadova, A.R. Muslumzade

“…The study demonstrates that RFCTs offer significant advantages, including from high sensitivity to low-amplitude signals, resilience to radio interference, and a wide frequency bandwidth. These features make RFCTs particularly effective for use in environments with intense external interference, such as radar signals at industrial sites. …”
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Underwater Visual Object Tracking Method Based on Scene Perception by Qianwei HU, Daiwei WANG, Renjie LI, Xiaofan YU, Bin KANG, Ruoyu SU

“…However, challenges such as uneven illumination, background interference, and target appearance variation in complex underwater environments severely affect the accuracy and stability of traditional visual tracking methods. …”
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Intelligent denoiser of plasma waves by SS-520-3 sounding rocket experiment toward future EMC challenges in miniaturized platform chassis by Mitsunori Ozaki, Ray Morita, Akihiro Hirano, Satoshi Yagitani, Yoshiya Kasahara, Takahiro Zushi, Satoshi Kurita, Hirotsugu Kojima

“…This sounding rocket experiment was aimed at improving our understanding of wave–particle interactions in the polar cusp. One key feature of the waveform clustering method is that it is based on an unsupervised machine learning technique, which relies solely on objective signal features and does not require subjective training data. …”
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Gearbox Fault Diagnosis Under Noise and Variable Operating Conditions Using Multiscale Depthwise Separable Convolution and Bidirectional Gated Recurrent Unit with a Squeeze-and-Exc... by Xiaoteng Ma, Kejia Zhai, Nana Luo, Yehui Zhao, Guangming Wang

“…However, the existing methods are constrained by shallow feature extraction and unidirectional temporal modeling. …”
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MDCFVit-YOLO: A model for nighttime infrared small target vehicle and pedestrian detection. by Huiying Zhang, Qinghua Zhang, Yifei Gong, Feifan Yao, Pan Xiao

“…An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …”
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