Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…This reduces the number of model parameters and enhances computational efficiency. The dual-stream module implements cascade and addition strategies to effectively merge shallow and deep features from both the original and polarization images. …”
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PERE: Prior-Enhanced and Resolution-Extended Object Detection for Industrial Laminated Panel Scenes by Haoyu Wang, Yiqiang Wu, Jinshuo Liang, Xie Xie

“…We therefore propose a prior-enhanced resolution-extended object detector framework (PERE) for industrial scenarios to solve these issues while enhancing detection accuracy and efficiency. …”
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Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

“…To address these issues, a lightweight and edge-deployable mining AI video edge computing system was designed. …”
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Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification by Bin Yang, Lei Ding, Jianqiang Li, Yong Li, Guangzhi Qu, Jingyi Wang, Qiang Wang, Bo Liu

“…TMIL incorporates a 2D positional encoding module, based on the Transformer, to model positional information and explore correlations between instances. …”
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Innovative landslide disaster monitoring: unmanned aerial vehicle-deployed GNSS technology by Qin Zhang, Zhengwei Bai, Guanwen Huang, Jiaxu Kong, Yuan Du, Duo Wang, Ce Jing, Wei Xie

“…A system was initially designed with five components: an adaptive sampling GNSS receiver, an intelligent cooperative network transmission module, UAV-dropped GNSS equipment, special delivery UAV, and an intelligent monitoring and early warning cloud platform. …”
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DiffTST: Diff Transformer for Multivariate Time Series Forecast by Song Yang, Wenyong Han, Yaping Wan, Tao Zhu, Zhiming Liu, Shuangjian Li

“…Subsequently, the Differential Transformer module is employed to process the sequence features of these patches, alleviating the tendency of Transformer-based models to allocate excessive attention to irrelevant sequence information. …”
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Mining privacy-preserving association rules using transaction hewer allocator and facile hash algorithm in multi-cloud environments by D. Dhinakaran, S. Gopalakrishnan, D. Selvaraj, M.S. Girija, G. Prabaharan

“…However, in outsourced data for tasks like frequent itemset mining, privacy is an important issue. The difficulty is to secure sensitive data while delivering the insights of the data. …”
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Marine motor fault diagnosis based on CEEMDAN and BRECAN under strong noise conditions by Renjie ZHU, Enzhe SONG, Chong YAO, Yun KE

“…ObjectiveThe background noise in the engine room during actual ship navigation leads to the poor accuracy in fault diagnosis methods. To address this issue, this paper proposes a ship motor fault diagnosis method based on complementary ensemble empirical mode decomposition (EEMD) with adaptive noise (CEEMDAN) and a Bayesian residual efficient channel attention network (BRECAN). …”
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Pansharpening Based on Adaptive Spatial Detail Fusion and Injection Weights Refinement by Huan Dai, Yong Yang, Shuying Huang, Hangyuan Lu, Weiguo Wan, Kang Wang

“…First, a multistage intensity enhancement module is constructed to enhance the intensity component I of an MS image for spatial-spectral preservation. …”
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Energy Efficiency Improvement of Hydraulic Indirect Elevator by Łukasz Stawiński, Andrzej Kosucki, Justyna Skowrońska, Piotr Malenta

“…This article addresses the current issue of energy consumption in the hydraulic drive systems of working machines, with particular emphasis on elevators. …”
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GPPK4PCM: pest classification model integrating growth period prior knowledge by Jianhua Zheng, Junde Lu, Yusha Fu, Ruolin Zhao, Jinfang Liu, Zhaoxi Luo, Zhijie Luo

“…In addition to its inherent visual characteristics, pest images contain implicit growth period information. To address this issue, we propose a Pest Classification Model Integrating Growth Period Prior Knowledge. …”
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Wind Turbine Fault Diagnosis with Imbalanced SCADA Data Using Generative Adversarial Networks by Hong Wang, Taikun Li, Mingyang Xie, Wenfang Tian, Wei Han

“…This article presents an innovative deep learning-based fault diagnosis method to solve the SCADA data imbalance issue. First, a data generation module centered on generative adversarial networks is designed to create a balanced dataset. …”
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Few-Shot Metric Learning with Time-Frequency Fusion for Specific Emitter Identification by Shiyuan Mu, Yong Zu, Shuai Chen, Shuyuan Yang, Zhixi Feng, Junyi Zhang

“…However, collecting and annotating substantial data for novel or unknown radiation sources is not only time-consuming but also cost-intensive. To address this issue, this paper proposes a few-shot (FS) metric learning-based time-frequency fusion network. …”
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Food insecurity amongst Canadian children with food allergy during the COVID-19 pandemic by Zoe Harbottle, Jakob Pettersson, Michael A. Golding, Marina Jonsson, Leslie E. Roos, Jennifer L. P. Protudjer

“…We call on researchers and policy makers to attend to this important issue.…”
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Fault Diagnosis Method of Permanent Magnet Synchronous Motor Demagnetization and Eccentricity Based on Branch Current by Zhiqiang Wang, Shangru Shi, Xin Gu, Zhezhun Xu, Huimin Wang, Zhen Zhang

“…However, in practical applications, the fault characteristics in current signals are relatively weak, leading to diagnostic performance that falls short of expected standards. To address this issue and improve diagnostic accuracy, this paper proposes a novel diagnostic method. …”
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SChanger: Change Detection From a Semantic Change and Spatial Consistency Perspective by Ziyu Zhou, Keyan Hu, Yutian Fang, Xiaoping Rui

“…To address the data scarcity issue, we develop a fine-tuning strategy called the semantic change network. …”
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Numerical study on PWR fuel rod cladding ballooning and burst behavior with the thermo-mechanical coupling finite element method by Xin Zhang, Gen Li, Runhua Gao, Xinhai Zhao, Peitao Yao

“…The ballooning behavior of fuel rod cladding is an important issue of nuclear reactor, which may initiate a severe nuclear reactor accident. …”
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Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Firstly, a novel pose-guided occlusion generation module is designed to enhance the model’s ability to extract discriminative features from non-occluded areas. …”
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OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts by Haoyu Wang, Lijun Yun, Chenggui Yang, Mingjie Wu, Yansong Wang, Zaiqing Chen

“…Walnut detection in mountainous and hilly regions often faces significant challenges due to obstructions, which adversely affect model performance. To address this issue, we collected a dataset comprising 2379 walnut images from these regions, with detailed annotations for both obstructed and non-obstructed walnuts. …”
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DE-Net: A Dual-Encoder Network for Local and Long-Distance Context Information Extraction in Semantic Segmentation of Large-Scale Scene Point Clouds by Zhipeng He, Jing Liu, Shuai Yang

“…In addition, a prediction jitter module was introduced during training to address the issue of class imbalance and improve the network's prediction results. …”
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