Research on Detection Technology for Breakwater Structures Based on Multi-sensor Information Fusion by LIN Xiaobin, YANG Zhimin

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Exploring ash fusion characteristics and thermal decomposition of biomass through thermogravimetric analysis by Sachin Channappa Hallad, N. L. Panwar, V. Kavan kumar

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The Fusion of Infrared and Visible Images via Feature Extraction and Subwindow Variance Filtering by Xin Feng, Haifeng Gong

“…PCANet extracts features from the base layer and obtains corresponding weight maps that guide the fusion process. A saliency measurement method is proposed for detail-level fusion to extract saliency maps from the source image. …”
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A hybrid multiscale feature fusion model for enhanced cardiovascular arrhythmia detection by Md. Alamin Talukder

Subjects: “…Hybrid multiscale feature fusion…”
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Speech enhancement method based on multi-domain fusion and neural architecture search by Rui ZHANG, Pengyun ZHANG, Chaoli SUN

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Liver segmentation network based on detail enhancement and multi-scale feature fusion by Lu Tinglan, Qin Jun, Qin Guihe, Shi Weili, Zhang Wentao

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Light intensity, spectrum and polarization information fusion based underwater object detection by Zhe CHEN, Hui-bin WANG, Jie SHEN, Li-zhong XU

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A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information by F. W. Zhang, S. H. Xu, B. J. Wang, Z. J. Wu

“…Two main advantages of this proposed approach are that (i) it provides a data fusion technique, which can efficiently deal with the multisource decision making information; (ii) it can produce the degree of credibility of the entire decision making. …”
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An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion by J. Jasmine Shirley, M. Priya

“…The proposed model integrates an Autoencoder for feature extraction with a Feedforward Neural Network for classification, creating a fusion that enhances the precision and efficiency of intrusion detection. …”
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Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion by Yongjun Qi, Hailin Tang, Altangerel Khuder

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Cross-Attention Fusion of Visual and Geometric Features for Large-Vocabulary Arabic Lipreading by Samar Daou, Achraf Ben-Hamadou, Ahmed Rekik, Abdelaziz Kallel

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Enterprise chart question and answer method based on multi modal cross fusion by Xinxin Wang, Liang Chen, Changhong Liu, Jinyu Liu

“…Finally, by employing a multimodal cross-fusion model, we deeply integrate the queried charts, user questions, and generated table data to ensure that the model can comprehensively capture chart information and accurately answer user questions. …”
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Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

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Named Entity Recognition Model Based on the Fusion of Word Vectors and Category Vectors by Yang Zhou, Haoyang Zeng, Wei Zhang, Yuguang Zhang

“…The model consists of two core components: a Fusion Vectors Generation (FVG) module and an NER module. …”
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Application of improved multi-model fusion technology in customer service answering system by Guangmin WANG, Yaofeng WANG

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Attention-based interactive multi-level feature fusion for named entity recognition by Yiwu Xu, Yun Chen

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Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning by Rui Liu

“…The signal extraction and feature enhancement fusion of multiclass samples provide a new idea.…”
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A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

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Data Fusion Based Hybrid Approach for the Estimation of Urban Arterial Travel Time by S. P. Anusha, R. A. Anand, L. Vanajakshi

“…Three approaches are presented and compared in this study: (1) a combination of input-output analysis for mid-blocks and Highway Capacity Manual (HCM) based delay calculation at signals named as base method, (2) data fusion approach which employs Kalman filtering technique (nonhybrid method), and (3) a hybrid data fusion HCM (hybrid DF-HCM) method. …”
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Tire Pressure Monitoring System Using Feature Fusion and Family of Lazy Classifiers by Arpit Pandey, Sridharan Naveen Venkatesh, Prabhakaranpillai Sreelatha Anoop, B. R. Manju, Vaithiyanathan Sugumaran

Subjects: “…feature fusion…”
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