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Relevant bibliographies by topics / Sequential fusion

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Journal articles
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Academic literature on the topic 'Sequential fusion'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Sequential fusion"

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Yang, Yanping, and Ruiguang Li. "Relatively-Integrated Ship Navigation by H¥ Fusion Filters." International Journal of Cognitive Informatics and Natural Intelligence 15, no. 4 (2021): 1–12. http://dx.doi.org/10.4018/ijcini.20211001.oa43.

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For the system with unknown statistical property noises, the property that the energies of the system noise and the observation noise are limited is utilized in this paper. On this basis, two novel fusion algorithms are proposed for ship integrated navigation with the relative navigation information, broadcasted by the Automatic Identification Systems (AISs) in the adjacent ships. Firstly, an H∞ fusion filtering algorithm is given to deal with the navigation observation messages, under the centralized fusion framework. The integrated navigation method based on this algorithm cannot deal with t

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Chen, Shishi, Zhen Jiang, Shuxing Yang, and Wei Chen. "Multimodel Fusion Based Sequential Optimization." AIAA Journal 55, no. 1 (2017): 241–54. http://dx.doi.org/10.2514/1.j054729.

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Feng, Xiaoliang, Lan Wu, and Chenglin Wen. "Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems." Discrete Dynamics in Nature and Society 2018 (November 6, 2018): 1–9. http://dx.doi.org/10.1155/2018/4504206.

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In this paper, the impact of the fusion framework on the fault diagnosis process is discussed. The centralized fusion framework makes it difficult to locate and estimate the sensor fault. Based on the fault detection method, the sequential fusion framework could locate and estimate the sensor fault and realize the fault-tolerant estimation of system states. In the sense of minimum mean square error (MMSE), based on the sequential detection of bias fault of sensors, a sequential fault-tolerant fusion estimation approach is presented to estimate the sensor fault and the system state, simultaneou

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Samarasooriya, Vajira N. S. "Sequential approach to asynchronous decision fusion." Optical Engineering 35, no. 3 (1996): 625. http://dx.doi.org/10.1117/1.600655.

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Veeravalli, Venugopal V. "Sequential decision fusion: theory and applications." Journal of the Franklin Institute 336, no. 2 (1999): 301–22. http://dx.doi.org/10.1016/s0016-0032(98)00023-4.

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Deng, Zili, Peng Zhang, Wenjuan Qi, Jinfang Liu, and Yuan Gao. "Sequential covariance intersection fusion Kalman filter." Information Sciences 189 (April 2012): 293–309. http://dx.doi.org/10.1016/j.ins.2011.11.038.

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Murakami, Takao, Tetsushi Ohki, and Kenta Takahashi. "Optimal sequential fusion for multibiometric cryptosystems." Information Fusion 32 (November 2016): 93–108. http://dx.doi.org/10.1016/j.inffus.2016.02.002.

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Zagrebaev, V. I. "Sequential Fusion: Sub-Barrier Fusion Enhancement Due to Neutron Transfer." Progress of Theoretical Physics Supplement 154 (2004): 122–29. http://dx.doi.org/10.1143/ptps.154.122.

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Pereira, Catarina Silva, António Lemos Lopes, and Ricardo Rodrigues-Pinto. "Sequential traumatic cervical fractures after paragliding accidents – A case report and literature review." Surgical Neurology International 12 (February 10, 2021): 47. http://dx.doi.org/10.25259/sni_761_2020.

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Background: Sports related cervical spine trauma may range from minor injuries to severe life-threatening fractures with spinal cord injuries as following paragliding accidents. Case Description: A 52-year-old male sustained C4-C5 and C6-C7 fracture-dislocations (American Spinal Injury Association-D) attributed to a paragliding accident. He underwent a C5 corpectomy with C4-C6 anterior fusion. Three years later, he again sustained a paragliding accident, now resulting in a C6-C7 fracture-dislocation that required a C6-C7 anterior discectomy fusion. However, when this latter fusion “failed” 1 m

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Veeravalli, V. V., T. Basar, and H. V. Poor. "Decentralized sequential detection with a fusion center performing the sequential test." IEEE Transactions on Information Theory 39, no. 2 (1993): 433–42. http://dx.doi.org/10.1109/18.212274.

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Dissertations / Theses on the topic "Sequential fusion"

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Davinson, Thomas. "Sequential and incomplete fusion break-up reactions with 70 MeV ⁷Li." Thesis, University of Edinburgh, 1986. http://hdl.handle.net/1842/13591.

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Hoegh, Andrew B. "Predictive Model Fusion: A Modular Approach to Big, Unstructured Data." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70921.

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Data sets of increasing size and complexity require new approaches for prediction as the sheer volume of data from disparate sources inhibits joint processing and modeling. Rather modular segmentation is required, in which a set of models process (potentially overlapping) partitions of the data to independently construct predictions. This framework enables individuals models to be tailored for specific selective superiorities without concern for existing models, which provides utility in cases of segmented expertise. However, a method for fusing predictions from the collection of models is req

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Nallagatla, Vishnu Priya. "Sequential decision fusion of multibiometrics applied to text-dependent speaker verification for controlled errors." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/63348/1/Vishnu_Nallagatla_Thesis.pdf.

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Reliability of the performance of biometric identity verification systems remains a significant challenge. Individual biometric samples of the same person (identity class) are not identical at each presentation and performance degradation arises from intra-class variability and inter-class similarity. These limitations lead to false accepts and false rejects that are dependent. It is therefore difficult to reduce the rate of one type of error without increasing the other. The focus of this dissertation is to investigate a method based on classifier fusion techniques to better control the trade

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Sicilia, Guy T. "A comparison of sequential and integrated data fusion for estimating hydrologic properties during a synthetic GPR monitored infiltration event." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1220474478/.

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Dabrowski, Joel Janek. "Contextual behavioural modelling and classification of vessels in a maritime piracy situation." Thesis, University of Pretoria, 2014. http://hdl.handle.net/2263/45902.

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In this study, a method is developed for modelling and classifying behaviour of maritime vessels in a piracy situation. Prior knowledge is used to construct a probabilistic graphical model of maritime vessel behaviour. This model is a novel variant of a dynamic Bayesian network (DBN), that extends the switching linear dynamic system (SLDS) to accommodate contextual information. A generative model and a classifier model are developed. The purpose of the generative model is to generate simulated data by modelling the behaviour of fishing vessels, transport vessels and pirate vessels in a m

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Aïzan, Josky. "Modélisation et reconnaissance d'activités quotidiennes au sein d'une maison intelligente : application à la surveillance des personnes âgées." Thesis, Littoral, 2020. http://www.theses.fr/2020DUNK0557.

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Les systèmes d'aide à la vie ambiante permettant le maintien à domicile des personnes âgées sont en pleine expansion de nos jours. Les nouvelles approches consistent à mettre en place un système automatisé de surveillance d'activités au sein d'une maison intelligente équipée de capteurs portables tels que les GPS, les bracelets électroniques ou les puces RFID. Ces capteurs malheureusement ont la contrainte d'être portés constamment. L'utilisation des capteurs binaires est une alternative de plus en plus proposée. Dans cette thèse, nous avons proposé la modélisation et la reconnaissance d'activ

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Chuang, Wan-chen, and 莊婉甄. "Decision Fusion Based Sequential Detection in Wireless Sensor Networks." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/tcrt5h.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>100<br>Wireless sensor networks have been used in many applications. One of the most important applications is to detect a target or an event in the monitored region. However, most of previous target detection studies are based on the unrealistic disk model, and use a single sensor’s decision as the decision of the overall network. This simple detection scheme may result in high false alarm probability and deteriorate the detection performance. Therefore, data fusion is required to improve the performance of detection. It has been broadly exploited to alleviate the i

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Lin, Li-Cheng, and 林立晟. "Energy-Efficient Sequential Fusion for Distributed Detection in Wireless Sensor Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/08910750253515814675.

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博士<br>國立清華大學<br>通訊工程研究所<br>99<br>近年來，由於微機電技術、無線通訊技術及嵌入式系統技術的迅速發展，使得微小的感測器可以內嵌感測、計算及無線通訊等功能。無線感測網路是由為數眾多的感測器以及一到數個資料融合中心所構成的網路系統，感測器被散佈在待感測區域來蒐集環境資料，並藉由無線傳輸的方式將蒐集的資訊傳送到資料融合中心。無線感測網路可以被應用在許多領域中，如環境監控、入侵偵測等。為了達到大量佈建的目的，感測器必須具備低成本、體積小等特性，並且通常是由電池所驅動。因此，在無線感測網路中，如何節省感測器的能量消耗便是一個非常重要的議題。在過去的文獻中指出，無線傳輸會比資料處理消耗更多的能量，因此在本論文中提出了循序融合的概念來減少感測器的傳送數目以達到節省能量消耗的目的。在本論文的第一個主題中，我們考慮同質感測環境以及相同的通訊通道品質，並利用橫斷循序機率比值檢定來達到節省傳輸能量的目的。在集中式與分散式融合模型下，我們提出了相對應的集中式橫斷循序機率比值檢定與分散式集中式橫斷循序機率比值檢定，並且推導出假警報機率與遺失偵測機率的上界。當給定所要求的假警報機率與遺失偵測機率，我們可以利用此機率上界得到橫斷循序機率比值檢定的上閾值與下閾值。由模擬的結果可以發現，利用所提出的橫斷循序機率比值檢定，可以犧牲些微的偵測效能以節省非常多的傳輸能量。在第二個主題中，我

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Book chapters on the topic "Sequential fusion"

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Varshney, Pramod K. "Distributed Sequential Detection." In Distributed Detection and Data Fusion. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_6.

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Mitchell, H. B. "Sequential Bayesian Inference." In Data Fusion: Concepts and Ideas. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27222-6_12.

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Koch, Wolfgang. "Sequential Track Extraction." In Tracking and Sensor Data Fusion. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39271-9_4.

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Wang, Qiang, and Yahong Han. "Sequential Feature Fusion for Object Detection." In Advances in Multimedia Information Processing – PCM 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00776-8_63.

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Yan, Liping, Lu Jiang, and Yuanqing Xia. "Event-Triggered Sequential Fusion for Systems with Correlated Noises." In Multisensor Fusion Estimation Theory and Application. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9426-7_10.

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Takeuchi, I., and T. Furuhashi. "Modeling for Dynamic Systems with Fuzzy Sequential Knowledge." In Deep Fusion of Computational and Symbolic Processing. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1837-6_5.

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Yan, Liping, Lu Jiang, and Yuanqing Xia. "Sequential Fusion Estimation for Multisensor Systems with Heavy–Tailed Noises." In Multisensor Fusion Estimation Theory and Application. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9426-7_12.

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Sun, Ron, and Todd Peterson. "A Subsymbolic and Symbolic Model for Learning Sequential Decision Tasks." In Deep Fusion of Computational and Symbolic Processing. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1837-6_1.

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Jing, Zhongliang, Han Pan, Yuankai Li, and Peng Dong. "Bearing-Only Multiple Target Tracking with the Sequential PHD Filter for Multi-Sensor Fusion." In Information Fusion and Data Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90716-1_6.

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Nallagatla, Vishnu Priya, and Vinod Chandran. "Sequential Fusion Using Correlated Decisions for Controlled Verification Errors." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23678-5_4.

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Conference papers on the topic "Sequential fusion"

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Harvey, Ryan, Paolo Braca, Leonardo M. Millefiori, and Peter Willett. "Sequential Hypothesis Testing Based on Machine Learning." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706304.

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Ajirak, Marzieh, Yuhao Liu, and Petar M. Djurić. "Filtering of High-Dimensional Data for Sequential Classification." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706347.

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Hu, Zhuohan, Bo Yang, Jialiang Lin, Jiajin Wu, and Wei Liu. "MCL4SRec: A Sequential Recommendation Model with Multi-level Contrastive Learning." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706294.

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Lopez, Enzo, Karim Dahia, Nicolas Merlinge, Benedicte Winter-Bonnet, Alain Maschiella, and Christian Musso. "Sequential Markov Chain Monte Carlo methods on Matrix Lie Groups." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706305.

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Long, Hua, Bingwen Huang, and Jiaqiang Lu. "Learnable Filter with Decoupling Fusion Method for Sequential Recommendation." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831113.

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Zarei, Mahboubeh, and Robin Chhabra. "Sequential Sensor Fusion for Slip Estimation in Mobile Robots." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10645018.

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Gioia, Daniele Giovanni, Jacopo Bonari, Daniel Lichte, and Alexander Popp. "Sequential Drone Routing for Data Assimilation on a 2D Airborne Contaminant Dispersion Problem." In 2024 Sensor Data Fusion: Trends, Solutions, Applications (SDF). IEEE, 2024. https://doi.org/10.1109/sdf63218.2024.10773899.

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Yang, Haibo, and Yu Zhu. "B-spline Model for Extended Object Tracking Based on Sequential Fusion." In 2024 6th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP). IEEE, 2024. https://doi.org/10.1109/icmsp64464.2024.10866576.

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Pathe, Pierre, Anne Laure Jousselme, Benjamin Pannetier, and Olivier Bartheye. "Sequential evidential decision making for real‑time drone anomaly detection: a Sim2Real VBS approach." In Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIV, edited by Lynne L. Grewe, Erik P. Blasch, and Ivan Kadar. SPIE, 2025. https://doi.org/10.1117/12.3053117.

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Oxley, Mark E., Kathleen E. Daly, Christine M. Schubert-Kabban, and David A. Zitelli. "Sequential fusion." In SPIE Defense, Security, and Sensing, edited by Ivan Kadar. SPIE, 2011. http://dx.doi.org/10.1117/12.884702.

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Reports on the topic "Sequential fusion"

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Willett, Rebecca, and Maxim Raginsky. Sequential Prediction for Information Fusion and Control. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada594438.

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