AILDP: a research on ship number recognition technology for complex scenarios by Tianjiao Wei, Zhuhua Hu, Yaochi Zhao, Xiyu Fan

“…Firstly, in the detection phase, for the problem of varying size and position in the ship number recognition task, the detection effect is optimized by a module (AIFI_LPE) that combines feature interaction and learned position encoding. …”
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THE IMAGE OF THE WORLD AND THE IMAGE OF THE HUMAN: A.S. BYATT’S “ANGELS AND INSECTS” AS AN ARTISTIC WHOLE by Elena S. Annenkova

“…They are closely related by common problems, expressed through a series of antinomical oppositions: soul and body, life and death, spiritual and material, earthly and heavenly, male and female. …”
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Demonstration of 50 Gbps Long-Haul D-Band Radio-over-Fiber System with 2D-Convolutional Neural Network Equalizer for Joint Phase Noise and Nonlinearity Mitigation by Yachen Jiang, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Jingwen Lin, Yuan Ma, Siqi Wang, Zhihang Ou, Wen Zhou

“…The 2D-CNN outperformed Volterra series and deep neural network approaches in long-haul D-band RoF systems by compensating for phase noise and nonlinear distortions via spatiotemporal feature integration, hierarchical feature extraction, and nonlinear modelling.…”
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Bearing Fault Diagnosis in the Mixed Domain Based on Crossover-Mutation Chaotic Particle Swarm by Tongle Xu, Junqing Ji, Xiaojia Kong, Fanghao Zou, Wilson Wang

“…The classification frameworks for fault diagnosis of rolling element bearings in rotating machinery are mostly based on analysis in a single time-frequency domain, where sensitive features are not completely extracted. To solve this problem, a new fault diagnosis technique is proposed in the mixed domain, based on the crossover-mutation chaotic particle swarm optimization support vector machine. …”
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An information-DNA based method of information dissemination and evolution on Internet by Panpan LI, Zhengxia XIE, Zengkai WANG, Rui JIN

“…To solve the problem of how to trace the information content dissemination and evolution process on the Internet, an information DNA-based method of information dissemination and evolution on Internet was proposed.Firstly, semantic extraction of Internet information content was performed based on domain knowledge to form a key feature set of information content.Then, using the key feature set of information content, an information DNA construction method based on locally sensitive hashing was proposed.Finally, the usability and effectiveness of the proposed method were verified by public dataset.The problem of traceability of Internet homologous information dissemination and evolution process was solved by using information DNA as the core identifier, which was of great practical significance for the study of Internet information content dissemination, evolution tracing and the governance and guidance of Internet public opinion events.…”
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An information-DNA based method of information dissemination and evolution on Internet by Panpan LI, Zhengxia XIE, Zengkai WANG, Rui JIN

“…To solve the problem of how to trace the information content dissemination and evolution process on the Internet, an information DNA-based method of information dissemination and evolution on Internet was proposed.Firstly, semantic extraction of Internet information content was performed based on domain knowledge to form a key feature set of information content.Then, using the key feature set of information content, an information DNA construction method based on locally sensitive hashing was proposed.Finally, the usability and effectiveness of the proposed method were verified by public dataset.The problem of traceability of Internet homologous information dissemination and evolution process was solved by using information DNA as the core identifier, which was of great practical significance for the study of Internet information content dissemination, evolution tracing and the governance and guidance of Internet public opinion events.…”
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Image retrieval method based on data mining and deep residual network by Hongzhi Yuan, Wei Hu

“…To overcome the vanishing gradient problem of traditional residual networks in deep structures, an improved residual network structure was introduced in the study, and optimization was performed simultaneously by combining the spatial transformation network and the feature enhancement module. …”
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Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding by Weidong Zhao, Xiaotong Liu, Jun Jing, Rongchang Xi

“…Natural language processing text similarity calculation is a crucial and difficult problem that enables matching between various messages. …”
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Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

“…This paper aims to address the missing data using advanced imputation algorithm like single center imputation from multiple chained equation (SICE) and synthetic minority oversampling technique with edited nearest neighbor (SMOTE-ENN) method is used to solve the imbalanced data problem. Wrapper-based genetic feature selection method is used for the feature selection. …”
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Deep transfer learning mechanism for fine-grained cross-domain sentiment classification by Zixuan Cao, Yongmei Zhou, Aimin Yang, Sancheng Peng

“…We introduce BERT as a feature encoder to map the text data of different domains into a shared feature space. …”
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Business social responsibility. Search for assessment methods by M. V. Bikeeva

“…The research materials continue the author's series of articles devoted to the problems of the stakeholder approach. The social responsibility of business acts as a launching pad for fruitful cooperation and interaction between business structures and authorities. …”
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Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities by Beng Heng Ang, Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng

“…ObjectiveWe aimed to uncover associations between EMSs and mental health problems within OMHCs and examine features of EMSs as they are reflected in OMHCs. …”
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Target detection technology of coal mine wheeled robot combining improved CNN and self attention mechanism by Junfei TANG, Hailong XING, Su LI, Taotao ZHANG, Heng LIU, Shiyu YAO

“…On this basis, the bidirectional feature pyramid network module is designed to further strengthen the feature extraction function. …”
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Facial Expression Recognition-You Only Look Once-Neighborhood Coordinate Attention Mamba: Facial Expression Detection and Classification Based on Neighbor and Coordinates Attention... by Cheng Peng, Mingqi Sun, Kun Zou, Bowen Zhang, Genan Dai, Ah Chung Tsoi

“…In studying the joint object detection and classification problem for facial expression recognition (FER) deploying the YOLOX framework, we introduce a novel feature extractor, called neighborhood coordinate attention Mamba (NCAMamba) to substitute for the original feature extractor in the Feature Pyramid Network (FPN). …”
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Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment by Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

“…Nevertheless, the distribution discrepancy between cross-views leads to the fact that instances of the different views from same class are farther than those within the same view but from different classes. To address this problem, in this paper, we develop a novel cross-view discriminative feature subspace learning method inspired by layered visual perception from human. …”
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A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network by Chongya Gong, Tinghua Ai, Shiyu Chen, Tianyuan Xiao, Huafei Yu

“…Through neural networks, projection matrices can be learned to convert points, polylines, and polygons into the same type of object, thereby enabling the use of single-scene geometric measurement methods (e.g., Graph Neural Networks) to solve the problem. However, the key challenge in using Graph Neural Networks for similarity measurement is learning the adjacency relationships between geometric features. …”
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Dual Attention Equivariant Network for Weakly Supervised Semantic Segmentation by Guanglun Huang, Zhaohao Zheng, Jun Li, Minghe Zhang, Jianming Liu, Li Zhang

“…In this paper, we propose a dual attention equivariant network (DAEN) model to address this problem by considering both channel and spatial information of different feature maps. …”
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Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model by Yikai Tang, Xing Huang, Yanju Li, Haoran Ma, Kai Zhang, Ke Song

“…This study adopts a data-driven approach to construct a degradation prediction model. In view of the problem of many input parameters and complex distribution of degradation features, a neural network model based on a multi-head attention mechanism and class token is first proposed to analyze the impact of different operating parameters on the output voltage prediction. …”
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Multimodal multilevel attention for semi-supervised skeleton-based gesture recognition by Jinting Liu, Minggang Gan, Yuxuan He, Jia Guo, Kang Hu

“…To resolve this problem, we propose a novel multimodal multilevel attention network designed for semi-supervised learning. …”
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A localization strategy combined with transfer learning for image annotation. by Zhiqiang Chen, Leelavathi Rajamanickam, Jianfang Cao, Aidi Zhao, Xiaohui Hu

“…This study aims to solve the overfitting problem caused by insufficient labeled images in the automatic image annotation field. …”
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