Exploiting Partial Reconfiguration through PCIe for a Microphone Array Network Emulator by Bruno da Silva, An Braeken, Federico Domínguez, Abdellah Touhafi

“…Our platform provides a controlled simulated acoustic environment, able to evaluate the impact of different network configurations such as the number of microphones per array, the network’s topology, or the used detection method. Data fusion techniques, combining the data collected by each node, are used in this platform. …”
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Research on database watermarking based on Independent Component Analysis and multiple rolling by Zaihui Cao, Ge Shi, Qingtao Wu

“…In order to protect the copyright of digital products, the basic idea is to embed confidential information in digital products such as images, audio, and video to realize data fusion. The current digital watermarking technology is mainly concentrated in the field of multimedia information (such as images, audio, and video) and made good progress. …”
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A Cyber-ITS Framework for Massive Traffic Data Analysis Using Cyber Infrastructure by Yingjie Xia, Jia Hu, Michael D. Fontaine

“…The results prove that the Cyber-ITS-based implementation can achieve a high accuracy rate of traffic state estimation and provide a significant computational speedup for the data fusion by parallel computing.…”
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Examination of Molecular Effects of MYLK Deletion in a Patient with Extensive Aortic, Carotid, and Abdominal Dissections That Underlie the Genetic Dysfunction by Sarah K. Macklin, Katelyn A. Bruno, Charitha Vadlamudi, Haytham Helmi, Ayesha Samreen, Ahmed N. Mohammad, Stephanie Hines, Paldeep S. Atwal, Thomas R. Caulfield

“…Through a combined multiomic approach of clinical, functional, and protein informatics, we arrive at a data fusion for determination of pathogenicity embedded within the genetic code for this particular genetic variant, which, as a platform, continues to broaden its scope across the field of variants of uncertain significance classification.…”
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A Hazardous Chemical-Oriented Monitoring and Tracking System Based on Sensor Network by Qiulin Tan, Yang Zhang, Xiaofei Zhang, Xiangdong Pei, Jijun Xiong, Chenyang Xue, Jun Liu, Wendong Zhang

“…In accord with the standards and regulations of transport vehicles for hazardous chemicals, an overall structure-function diagram for vehicle monitoring and a pre-warning system were proposed by integrating various technologies such as computer modeling, control theory, multisensor data fusion, communication science, space positioning, and safety management science. …”
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Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network by Wenhao Jiang, Yunpeng Xiao, Yanbing Liu, Qilie Liu, Zheng Li

“…Based on the idea of spatio-temporal data fusion, fully considering the correlation of traffic flow data in the time dimension and the dependence of spatial structure, this paper proposes a new spatio-temporal traffic flow prediction model based on Graph Neural Network (GNN), which is called Bidirectional-Graph Recurrent Convolutional Network (Bi-GRCN). …”
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Research on Network Resource Collection and Distribution Strategies in Big Data-Driven Multimedia Teaching by Jianping Han

“…The main index of large-scale data fusion is computing speed. Aiming at the performance defects of the open source computing framework Hadoop, this paper intends to establish a new computing model. …”
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Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach by M. Benalla, B. Achchab, H. Hrimech

“…In order to improve the knowledge base of advanced driver assistance systems (ADAS), ITS are strongly concerned with data fusion techniques of all kinds of sensors deployed over the traffic network. …”
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Robust multi-source geographic entities matching by maximizing geometric and semantic similarity by YuHan Yan, PengDa Wu, Yong Yin, PeiPei Guo

“…Abstract Geographic entity matching is an important means for multi-source spatial data fusion and information association and sharing. …”
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Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities by Min-Su Kang, Dong-Hee Lee, Mahdi Sadeqi Bajestani, Duck Bong Kim, Sang Do Noh

“…The functional aspect is represented using ISO 23247 as the reference architecture, while the informational aspect is elaborated by introducing a data fusion model. Then, an E-DT for Wire+Arc Additive Manufacturing (WAAM) is developed, its performance is evaluated, and the benefits of edge computing in enhancing real-time processing and decision-making are verified. …”
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Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration from a Differentiated Perspective of Population Distribution and Population Mobility by Yongwang Cao, Qingpu Li, Zaigao Yang

“…We propose a new method for identifying the dynamic boundaries of urban agglomerations through multi-source data fusion. This method not only provides technical support for scientific regional planning but also effectively guides the functional positioning of edge cities and the optimization of resource allocation. …”
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Integrated Navigation Fusion Strategy of INS/UWB for Indoor Carrier Attitude Angle and Position Synchronous Tracking by Qigao Fan, Yaheng Wu, Jing Hui, Lei Wu, Zhenzhong Yu, Lijuan Zhou

“…Secondly, integrated navigation data fusion strategy of INS/UWB based on Kalman filtering theory is proposed. …”
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Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping by ZHENG Junhua, JIANG Hongwei, LIU Rong, LI Yixiu, LI Wen, WENG Jian

“…Multi-key fully homomorphic encryption (MK-FHE) technology supports homomorphic operations on ciphertexts encrypted with different keys, and can be directly applied to real-world multi-user data fusion computing scenarios, such as multi-party collaborative computing and federated learning. …”
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Design, Sensing and Control of a Robotic Prosthetic Eye for Natural Eye Movement by J. J. Gu, M. Meng, A. Cook, P. X. Liu

“…Theoretical issues on sensor failure detection and recovery, and signal processing techniques used in sensor data fusion, are studied using statistical methods and artificial neural network based techniques. …”
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Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN by Zhou Chen, Kecheng Zhou, Haimeng Li, Jing‐song Wang, Zhihai Ouyang, Xiaohua Deng

“…Our proposed deep learning hybrid model can be easily extended and widely applied to other fields of space science, especially in addressing observational data loss and multi‐source data fusion.…”
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Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions by Ying Jia He, Pin Lin Liu, Tao Wei, Tao Liu, Yi Fei Li, Jing Yang, Wen Xing Fan

“…The findings underscore a rapid expansion in AI applications since 2017, with emerging trends in personalized medicine, multimodal data fusion, and telehealth. This bibliometric review provides a comprehensive resource for researchers and clinicians, offering insights into the evolution of AI in kidney transplantation and guiding future studies toward transformative applications in transplantation science.…”
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Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey by Taojie Kuang, Pengfei Liu, Zhixiang Ren

“…Yet, two critical questions arise: does the integration of domain knowledge augment the accuracy of molecular property prediction and does employing multi-modal data fusion yield more precise results than unique data source methods? …”
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Research on Mass Center Identification for Gravitational Wave Detection Spacecraft with Guaranteed Laser Link Pointing Accuracy by Shen-Ao Wang, Huibo Zhang, Lin Cai, Ziming Wang, Yumin An

“…A high-precision, high-stability center of mass identification method based on dual-model data fusion is proposed and simulated. The results show that this method can maintain the alignment precision of the laser interferometer arms within 10 nrad, while achieving a center of mass identification accuracy of 25 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">μ</mi></semantics></math></inline-formula>m. …”
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Multifeature Extraction of Three-Dimensional Topography of Carbon Steel Specimen during Fatigue Process by Tao Liu, Jingxiong Wu, Jingfa Lei, Xue Wang, Bingqi Zhang, Shu Zhang

“…The surface height distribution amplitude (A) decreases with the increase of fatigue cycles, which indicates that the height data concentration decreases, and the metal surface becomes uneven. The Bayesian data fusion method was applied to establish a nonlinear mapping between the topography features and the damage, with the above five characteristic parameters (Sa, Δα, A, μ, and δ) as the data layer. …”
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Multi-Kinects fusion for full-body tracking in virtual reality-aided assembly simulation by Yu Wang, Fuxiang Chang, Yuanjie Wu, Ziran Hu, Lihui Li, Pengyu Li, Pu Lang, Shouwen Yao

“…Skeleton tracking based on multiple Kinects data fusion has been proved to have better accuracy and robustness than single Kinect. …”
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