A Pretrained Spatio-Temporal Hypergraph Transformer for Multi-Stock Trend Forecasting by Yuchen Wu, Liang Xie, Hongyang Wan, Haijiao Xu

“…The proposed model employs a temporal encoder with an aggregation module to capture temporal patterns, utilizes self-attention to dynamically generate hyperedges, and selects cross-attention to implement hypergraph-associated convolution. …”
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Research on the Method of Crop Pest and Disease Recognition Based on the Improved YOLOv7-U-Net Combined Network by Wenchao Xiang, Zitao Du, Xinran Liu, Zehui Lu, Yuna Yin

“…For the U-Net network, the CBAM attention module is added before decoder skip connections, and depth-separable convolutions replace traditional kernels to strengthen feature fusion and detail attention. …”
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A Defect Detection Method for Flexible Thermal Control Film Manufacturing Process Driven by Digital Twin by LI Rongyi, TIAN Shuaiqi, DAI Mingqiu, XU Youqiang, LI Xianbin, HOU Kailin

“…During the coating process, dynamic fluctuations in process parameters often cause some defects. …”
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FD²-YOLO: A Frequency-Domain Dual-Stream Network Based on YOLO for Crack Detection by Junwen Zhu, Jinbao Sheng, Qian Cai

“…Firstly, the model employs a dual backbone architecture, integrating edge and texture features in the frequency domain with semantic features in the spatial domain, to enhance the extraction of crack-related features. Furthermore, the Dynamic Inter-Domain Feature Fusion module (DIFF) is introduced, which uses large-kernel deep convolution and Hadamard to enable the adaptive fusion of features from different domains, thus addressing the problem of difficult feature fusion due to domain differences. …”
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Improving High-Precision BDS-3 Satellite Orbit Prediction Using a Self-Attention-Enhanced Deep Learning Model by Shengda Xie, Jianwen Li, Jiawei Cai

“…Current orbit prediction accuracy for the BeiDou Navigation Satellite System-3 (BDS-3) exhibits a notable disparity compared to GPS and Galileo, with limited advancements from traditional dynamic modeling approaches. This study introduces a novel data-driven methodology, Sample Convolution and Interaction Network with Self-Attention (SCINet-SA), to augment dynamic methods and improve BDS-3 ultra-rapid orbit prediction. …”
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Lightweight Dual-Backbone Detection Transformer for Infrared Insulator Detection by Boyang Zhang, Yanpeng Zhang, Liming Sun

“…Additionally, we propose a contextual and geometric pyramid network (CGPN) to handle multi-scale feature fusion more effectively, which integrates context-aware modules with dynamic interpolation and implements geometric calibration through rectangular calibration modules. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…A novel Decoupled Focused Self-Attention (DFSA) mechanism is designed, which utilizes one-dimensional dilated convolutions and key-value fusion operations to dynamically enhance feature associations and improve perception of subtle visual cues such as color variation and micro-cracks. …”
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Real-Time Wave Energy Converter Control Using Instantaneous Frequency by Inyong Kim, Ted K. A. Brekken, Solomon Yim, Brian Johnson, Yue Cao, Pranav Chandran

“…Wave Energy Converters (WECs) rely on effective Power Take-Off (PTO) control strategies to maximize energy absorption under dynamic sea conditions. Traditional hydrodynamic modeling techniques may require computationally intensive convolution calculations, making real-time control implementation challenging. …”
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IoT-Enhanced Smart Parking Management With IncepDenseMobileNet for Improved Classification by Xiaoxia Zheng, Wenxi Feng, Ning Wang, Huhemandula

“…This paper presents an innovative framework for improving parking operations, dynamic pricing, and resource allocation in urban environments.…”
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EcoDetect-YOLOv2: A High-Performance Model for Multi-Scale Waste Detection in Complex Surveillance Environments by Jing Su, Ruihan Chen, Mingzhi Li, Shenlin Liu, Guobao Xu, Zanhong Zheng

“…To reduce computational overhead and inference latency without sacrificing detection accuracy, Ghost Convolution (GhostConv) replaces conventional convolution layers within the neck. …”
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YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles by Shimin Weng, Han Wang, Jiashu Wang, Changming Xu, Ende Zhang

“…This is coupled with a dynamic non-monotonic focusing mechanism formulated using the concept of outlier degrees. …”
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Influence of chronic prenatal hypoxia on the specialized contact apparatus of rat heart ventricles during ontogeny by N. S. Petruk

“…During prenatal development embryonic mammalian heart undergoes deep dynamic changes due to size, structure and functions. …”
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FraudGNN-RL: A Graph Neural Network With Reinforcement Learning for Adaptive Financial Fraud Detection by Yiwen Cui, Xu Han, Jiaying Chen, Xinguang Zhang, Jingyun Yang, Xuguang Zhang

“…Our approach models financial transactions as a dynamic graph, where entities (e.g., users, merchants) are nodes and transactions form edges. …”
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Attention-Based Hypergraph Neural Network: A Personalized Recommendation by Peihua Xu, Maoyuan Zhang

“…By constructing a heterogeneous hypergraph structure encompassing three entity types (students, instructors, and courses), we innovatively designed hypergraph convolution operators to achieve bidirectional vertex-hyperedge information aggregation, integrated with a dynamic attention mechanism to quantify important differences among entities. …”
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Structural synthesis of discrete adaptive tracking systems based on the combined maximum principle by Andrey A Kostoglotov, Sergey V. Lazarenko, Anton A Kuznetsov, Igor V. Deryabkin, Vitaly A Losev

“…In this case, the minimum condition of the objective functional which is the result of the convolution of the quality criterion and action integral is investigated. …”
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In-sensor compressing via programmable optoelectronic sensors based on van der Waals heterostructures for intelligent machine vision by Haoxin Huang, Shuhui Shi, Jiajia Zha, Yunpeng Xia, Huide Wang, Peng Yang, Long Zheng, Songcen Xu, Wei Wang, Yi Ren, Yongji Wang, Ye Chen, Hau Ping Chan, Johnny C. Ho, Yang Chai, Zhongrui Wang, Chaoliang Tan

“…Our 2D sensor captured and memorized/encoded optical signals, leading to in-device snapshot compression of dynamic videos and three-dimensional spectral data with a compression ratio of 8:1. …”
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Complex dark environment-oriented object detection method based on YOLO-AS by Bin Ren, Zhaohui Xu, Junwu Zhao, Rujiang Hao, Jianchao Zhang

“…The receptive field is expanded by dilated convolution, and dynamic feature detection is realized by combining channel attention, which effectively enhances the ability of multiscale feature expression. …”
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Fault Detection of a Wheelset Bearing Based on Appropriately Sparse Impulse Extraction by Jianming Ding, Fenglin Li, Jianhui Lin, Bingrong Miao, Lu Liu

“…Convolution sparse representation (CSR) is a novel compressive sensing technique proposed in 2016 and provides an excellent framework for extracting the impulses induced by bearing faults and the unevenness of wheel tread. …”
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UAV-to-Ground Target Detection Based on YOLO-DSBE by Meng Pengshuai, Wang Feng, Zhai Weiguang, Ma Xingyu, Zhao Wei

“…The algorithm deeply integrates the BiFormer dynamic sparse attention mechanism into the improved feature fusion network, eliminating irrelevant feature information, enhancing the focus on pertinent details, and reducing the missed detection rate. …”
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MAMNet: Lightweight Multi-Attention Collaborative Network for Fine-Grained Cropland Extraction from Gaofen-2 Remote Sensing Imagery by Jiayong Wu, Xue Ding, Jinliang Wang, Jiya Pan

“…First, we reconstruct the ResNet-18 backbone network using deep separable convolutions, reducing computational complexity while preserving feature representation capabilities. …”
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