Contrastive Learning-Based Personalized Tag Recommendation by Aoran Zhang, Yonghong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao

“…In addition, we integrate the contrastive learning module into a graph neural network-based personalized tag recommendation model, which enables the model to extract self-supervised signals from user–tag and item–tag interaction graphs. …”
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A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid by Yuqi Li, Zijian Wang, Han Zhang, Xinpeng Yao, Zhou Zhou, Xin Cheng

“…The deep learning‐based algorithm proposed in this paper aims to address the issue of low detection accuracy caused by the small size and high density of traffic signs in real‐world traffic scenarios. …”
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Learning-based cooperative content caching and sharing for multi-layer vehicular networks by Jun Shi, Yuanzhi Ni, Lin Cai, Zhuocheng Du

“…However, how to satisfy the content demands in a timely manner with limited storage is an open issue owing to the high mobility of vehicles and the unpredictable distribution of dynamic requests. …”
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An Advanced Local Current-Only Protection for Microgrids: Deep-Learning-Based Approach by Amin Yazdaninejadi, Hossein Ebrahimi, Sajjad Golshannavaz

“…Notably, the operation of on-load tap-changers (OLTCs) can lead to the maloperation of overcurrent relays during both internal and external faults due to the altered fault current levels. This issue, combined with diverse operational conditions and other N-1 contingencies, further broadens the scope of undesirable operations. …”
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Vision-inertial collaborative localization of multi-agents with remote interaction by Chang Liu, Jin Zhao, Nianyi Sun

“…Additionally, we tackle the issue of scale ambiguity in visual-inertial collaborative localization. …”
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SPT-AD: Self-Supervised Pyramidal Transformer Network-Based Anomaly Detection of Time Series Vibration Data by Seokhyun Gong, Taeyong Kim, Jongpil Jeong

“…Our proposed model tackles the data imbalance issue by generating four types of synthetic anomalies from normal vibration data and incorporates a pyramid-structured attention module to reduce computational costs and enhance the handling of long-term dependencies. …”
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A Simulation Platform for Combined Rail/Road Transport in Multiyards Intermodal Terminals by Xuchao Chen, Shiwei He, Tingting Li, Yubin Li

“…With the rapid development of multiyards railway intermodal terminal (MYRIT) construction in China, performance evaluation has become an important issue for terminal design and management departments. …”
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A Novel Architecture for Addressing the Throughput Bottleneck in Spaceborne Solid-State Recorder for Electromagnetic Spectrum Sensors by Xufeng Li, Li Zhou, Yan Zhu

“…Interleaved storage, multi-plane, and cache operation FLASH control module are also employed to resolve these bottlenecks. …”
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Compressed sensing transformer unfolding network for high resolution image denoising by Jie Zhang, Wenxiao Huang, Miaoxin Lu, Linwei Li, Yongpeng Shen, Yanfeng Wang, Jinsong Du

“…Specifically, we first design a Degradation Prior Gradient Descent (DPGD) module to learn noise degradation and guide adaptive gradient descent. …”
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Exploiting high-order behaviour patterns for cross-domain sequential recommendation by Bingyuan Wang, Baisong Liu, Hao Ren, Xueyuan Zhang, Jiangcheng Qin, Qian Dong, Jiangbo Qian

“…Moreover, to simultaneously improve the recommendation performance in the two domains, a Cross-domain Feature Bidirectional Transfer module (CFBT) is proposed, transferring user's common sharing features in both domains and retaining user's domain-specific features in a specific domain. …”
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Preference-based expensive multi-objective optimization without using an ideal point by Peipei Zhao, Liping Wang, Qicang Qiu

“…This paper proposes a preference-based surrogate-assisted algorithm, PMEGO, to overcome this issue. In the preference management module, a set of new reference points derived from the user reference point is used to construct a series of subproblems, with the key merit of not using the ideal point. …”
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Reconstructing Domain-Specific Features for Unsupervised Domain-Adaptive Object Detection by Shuai Dong, Kang Deng, Kun Zou

“…In this work, we propose a novel domain-specific student–teacher framework to address this issue. The innovations of the proposed framework can be summarized in two aspects. …”
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Text-in-Image Enhanced Self-Supervised Alignment Model for Aspect-Based Multimodal Sentiment Analysis on Social Media by Xuefeng Zhao, Yuxiang Wang, Zhaoman Zhong

“…Such text influences sentiment judgment. To address this issue, we propose a text-in-image enhanced self-supervised alignment model (TESAM) that accounts for multimodal information more comprehensively. …”
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Assessment Method for Feeding Intensity of Fish Schools Using MobileViT-CoordAtt by Shikun Liu, Xingguo Liu, Haisheng Zou

“…Specifically, the CoordAtt module enhances the model’s spatial perception by encoding spatial coordinate information, enabling precise capture of the spatial distribution characteristics of fish schools. …”
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A Few-Shot Learning-Based Point Cloud Semantic Segmentation Network for Tunnel Lining Inspection by Ziyi Li, Nan Jiang, Lihong Tong

“…Additionally, we propose a heterogeneous feature interaction (HFI) module to merge features derived from distinct embedding networks.…”
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Monocular Vision-Based Depth Estimation of Forward-Looking Scenes for Mobile Platforms by Li Wei, Meng Ding, Shuai Li

“…Consequently, the proposed method addresses the issue of losing critical features, which can lead to diminished accuracy and robustness. …”
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A steel surface defect detection method based on improved RetinaNet by Zhanglin Yang, Yu Liu

“…Abstract To address the issue of low detection accuracy caused by the variety of steel surface defect types, large shape differences, and the similarity between defects and the background, this paper proposes an improved method for detecting steel surface defects based on RetinaNet. …”
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Dual-branch attention network-based stereoscopicvideo compression by TANG Shu, ZHAO Yu, YANG Shuli, XIE Xian-Zhong

“…Secondly, a Dual-branch High Frequency Fusion Module (DHFFM) based on Invertible Neural Networks (INN) and gating mechanisms was proposed, which achieved efficient fusion of motion-compensated features and disparity features by accurate high-frequency information extraction and pixel-wise features filtering. …”
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Analysis of critical time delay in active lateral suspension systems for high-speed trains by SHENG Yiqian, SHI Huailong, CHEN Longfei, LIU Zhiqiang, LIU Yanxiu

“…This paper presents a systematic investigation into the issue of time delays, offering guidance for the design and optimization of active suspension systems for high-speed trains.…”
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Architecture of the FindFISH Platform - A Service for Fishermen and More by Lidia Dzierzbicka-Glowacka, Michał Wójcik

“…The Knowledge Transfer Platform FindFISH represents a response to the primary issue diagnosed within the fisheries sector, namely the diminishing profitability of fishing endeavors. …”
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