Relevant bibliographies by topics / Non-linear fusion

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Non-linear fusion'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Non-linear fusion"

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Zhang, Jialiang, Jianfu Cao, and Feng Gao. "Fault diagnosis for multivariable non-linear systems based on non-linear spectrum feature." Transactions of the Institute of Measurement and Control 39, no. 7 (2016): 1017–26. http://dx.doi.org/10.1177/0142331215625766.

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In this study, a novel fault diagnosis approach based on a non-linear spectrum feature is proposed for a multivariable non-linear system. The non-linear spectrum features are obtained using a non-linear output frequency response function (NOFRF) and kernel principal component analysis (KPCA). In order to improve the real-time performance of obtaining non-linear spectrum features, a frequency domain variable step size normalized least mean square (FVLMS) adaptive algorithm is presented to identify NOFRF. A multi-fault classifier based on the fusion of a support vector machine (SVM) is designed
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Gong, Zhi Hua, Peng Wei Duan, Yong Guang Li, and Rui Yue. "Multi-Structural Non-Linear Data Fusion Method." Applied Mechanics and Materials 530-531 (February 2014): 554–60. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.554.

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In systematic measurement and control mode composed of optics, radar and telemetry, trajectory measurement is in need of high precision. So, based on exterior trajectory parameter expressed by Hermite function, this paper proposes a multi-structure data fusion method with multisource heterogeneous measuring elements, which is called function restraint EMBET method. Based on the fusion simulation calculation and analysis of the same data of multisource heterogeneous measuring elements both using general EMBET method and function restraint EMBET method, it is proved that function restraint EMBET
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Parisotto, Simone, Luca Calatroni, Aurelie Bugeau, Nicolas Papadakis, and Carola-Bibiane Schonlieb. "Variational Osmosis for Non-Linear Image Fusion." IEEE Transactions on Image Processing 29 (2020): 5507–16. http://dx.doi.org/10.1109/tip.2020.2983537.

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Fang, Aiqing, Xinbo Zhao, Jiaqi Yang, Yanning Zhang, and Xiang Zheng. "Non-linear and selective fusion of cross-modal images." Pattern Recognition 119 (November 2021): 108042. http://dx.doi.org/10.1016/j.patcog.2021.108042.

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Azmani, Monir, Serge Reboul, and Mohammed Benjelloun. "Non-Linear Fusion of Observations Provided by Two Sensors." Entropy 15, no. 12 (2013): 2698–715. http://dx.doi.org/10.3390/e15072698.

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Fiore, R., P. V. Sasorov, and V. R. Zoller. "Non-linear BFKL dynamics: Color screening vs. gluon fusion." JETP Letters 96, no. 11 (2013): 687–93. http://dx.doi.org/10.1134/s0021364012230063.

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González-Cruz, Darío. "Optimal Integration of Data Fusion in Solar Power Analytics: Enhancing Efficiency and Accuracy." Fusion: Practice and Applications 14, no. 2 (2024): 211–18. http://dx.doi.org/10.54216/fpa.140217.

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At the forefront of sustainable energy solutions lies renewable energy, particularly solar power. Nevertheless, the optimization of solar power systems necessitates comprehensive analytics, especially for proactive maintenance fault anticipation. This research evaluates data fusion techniques using both linear and non-linear regression models for predicting faults in solar power plants. The study begins with careful data preparation processes to ensure clean and harmonized data sets that include irradiation, temperature, historical fault records, and yield. Linear regression techniques provide
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Helps, O. R., A. L. Clarke, P. I. Nicholson, T. L. Burnett, and P. J. Withers. "Non-linear fusion of dual-energy projections for XCT imaging of challenging components." Proceedings of the Annual British Conference on Non-Destructive Testing 2023, no. 1 (2023): 1–12. http://dx.doi.org/10.1784/ndt2023.2c5.

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The imaging of multi-material components having large changes in attenuation behaviour is widely regarded as a limitation of X-ray computed tomographic techniques. The use of Dual Energy X-ray Computed Tomography (DECT) is common in the field of medical imaging, providing many benefits to imaging and characterisation. However, multienergy methods such as DECT remain underutilised in the industrial sector. In this work, a novel measurement based multi-energy image fusion approach was evaluated using two radiographic image stacks acquired under two distinct polychromatic spectra; this fusion was
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GE, Quan-Bo, Wen-Bin LI, Ruo-Yu SUN, and Zi XU. "Centralized Fusion Algorithms Based on EKF for Multisensor Non-linear Systems." Acta Automatica Sinica 39, no. 6 (2014): 816–25. http://dx.doi.org/10.3724/sp.j.1004.2013.00816.

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Sanroma, Gerard, Oualid M. Benkarim, Gemma Piella, et al. "Learning non-linear patch embeddings with neural networks for label fusion." Medical Image Analysis 44 (February 2018): 143–55. http://dx.doi.org/10.1016/j.media.2017.11.013.

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Dissertations / Theses on the topic "Non-linear fusion"

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Nilsson, Albin. "Sensor fusion and fault diagnosticsin non-linear dynamical systems." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428958.

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Sensors are highly essential components in most modern control systems and are used in increasingly complex ways to improve system precision and reliability. Since they are generally susceptible to faults it is common to perform on-line fault diagnostics on sensor data to verify nominal behavior. This is especially important for safety critical systems where it can be imperative to identify, and react to, a fault before it increases in severity. An example of such a safety critical system is the propulsion control of a vehicle. In this thesis, three different model-based methods for Fault Dete
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Meshcheriakov, Dmytro. "Non linear dynamics of magnetic islands in fusion plasmas." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM4785.

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Les modes de déchirement sont connus pour détériorer le confinement et limiter les performances dans les machines de fusion. Plusieurs études sur les modes de déchirements ont été menées, en incluant un degré croissant de complexité dans le modèle physique afin de mieux comprendre les observations expérimentales. Une de ces extensions est l'introduction d'une description du plasma comme un fluide à deux espèces, ions et électrons, dont les dynamiques sont fortement différentes. Un autre mécanisme physique connu pour être important est la courbure du champ magnétique non perturbé. Dans cette th
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Conte, Armond S. II. "Censoring and Fusion in Non-linear Distributed Tracking Systems with Application to 2D Radar." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/4068.

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The objective of this research is to study various methods for censoring state estimate updates generated from radar measurements. The generated 2-D radar data are sent to a fusion center using the J-Divergence metric as the means to assess the quality of the data. Three different distributed sensor network architectures are considered which include different levels of feedback. The Extended Kalman Filter (EKF) and the Gaussian Particle Filter (GPF) were used in order to test the censoring methods in scenarios which vary in their degrees of non-linearity. A derivation for the direct calculatio
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Wragge-Morley, Robert. "Parameter estimation in road vehicles using non-linear adaptive observer and novel data fusion techniques." Thesis, University of Bristol, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715766.

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Bergkvist, Tommy. "Non-linear dynamics of Alfvén eigenmodes excited by fast ions in tokamaks." Doctoral thesis, KTH, Fusionsplasmafysik, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4320.

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The tokamak is so far the most promising magnetic configuration for achieving a net production of fusion energy. The D-T fusion reactions result in 3.5 MeV alpha-particles, which may destabilize Alfvén eigenmodes through wave-particle interaction. These instabilities redistribute the alpha-particles from the central region of the plasma towards the edge, where they are thermalized, and hence result in a reduced heating efficiency. The high-energy alpha-particles may even be thrown out of the plasma and may damage the wall. To investigate the destabilization of Alfvén eigenmodes by high-energy
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PISANO, FABIO. "Analysis and synthesis techniques of nonlinear dynamical systems with applications to diagnostic of controlled thermonuclear fusion reactors." Doctoral thesis, Università degli Studi di Cagliari, 2013. http://hdl.handle.net/11584/266202.

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Nonlinear dynamical systems are of wide interest to engineers, physicists and mathematicians, and this is due to the fact that most of physical systems in nature are inherently non-linear. The nonlinearity of these systems has consequences on their time-evolution, which in some cases can be completely unpredictable, apparently random, although fundamentally deterministic. Chaotic systems are striking examples of this. In most cases, there are no hard and fast rules to analyse these systems. Often, their solutions cannot be obtained in closed form, and it is necessary to resort to numerical in
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Sommariva, Cristian. "Test particles dynamics in 3D non-linear magnetohydrodynamics simulations and application to runaway electron formation in tokamak disruptions." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0512/document.

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La thèse étudie la dynamique des Electrons Découplés (DE) dans une disruption plasma déclenchée par injection massive de gaz dans le tokamak JET et simulée par le code JOREK. Cette investigation est permise par l’implémentation d’un module de suivi des particules tests relativistes dans JOREK. L’étude montre que les électrons peuvent ‘survivre’dans le chaos magnétique caractérisant la phase dite de ‘Disjonction Thermique’ (DT) de cette disruption (simulée) grâce à la reformation des surfaces magnétiques fermées. Deuxièmement, l’accélération des électrons causée par les champs électriques dus a
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Sommariva, Cristian. "Test particles dynamics in 3D non-linear magnetohydrodynamics simulations and application to runaway electron formation in tokamak disruptions." Electronic Thesis or Diss., Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0512.

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La thèse étudie la dynamique des Electrons Découplés (DE) dans une disruption plasma déclenchée par injection massive de gaz dans le tokamak JET et simulée par le code JOREK. Cette investigation est permise par l’implémentation d’un module de suivi des particules tests relativistes dans JOREK. L’étude montre que les électrons peuvent ‘survivre’dans le chaos magnétique caractérisant la phase dite de ‘Disjonction Thermique’ (DT) de cette disruption (simulée) grâce à la reformation des surfaces magnétiques fermées. Deuxièmement, l’accélération des électrons causée par les champs électriques dus a
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Bribiesca, Argomedo Federico. "Contrôle et stabilité Entrée-Etat en dimension infinie du profil du facteur de sécurité dans un plasma Tokamak." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENT023/document.

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Dans cette thèse, on s'intéresse au contrôle du profil de facteur de sécurité dans un plasma tokamak. Cette variable physique est liée à plusieurs phénomènes dans le plasma, en particulier des instabilités magnétohydrodynamiques (MHD). Un profil de facteur de sécurité adéquat est particulièrement important pour avoir des modes d'opération avancés dans le tokamak, avec haut confinement et stabilité MHD. Pour cela faire, on se focalise sur la commande du gradient du profil de flux magnétique poloidal dans le tokamak. L'évolution de cette variable est donnée par une équation de diffusion avec des
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Caruso, David. "Amélioration des méthodes de navigation vision-inertiel par exploitation des perturbations magnétiques stationnaires de l’environnement." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS133/document.

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Cette thèse s'intéresse au problème du positionnement (position et orientation) dans un contexte de réalité augmentée et aborde spécifiquement les solutions à base de capteurs embarqués. Aujourd'hui, les systèmes de navigation vision-inertiel commencent à combler les besoins spécifiques de cette application. Néanmoins, ces systèmes se basent tous sur des corrections de trajectoire issues des informations visuelles à haute fréquence afin de pallier la rapide dérive des capteurs inertiels bas-coûts. Pour cette raison, ces méthodes sont mises en défaut lorsque l'environnement visuel est défavorab
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Book chapters on the topic "Non-linear fusion"

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Yan, Dong, Yuanyuan Shen, Yan Yan, and Hanzi Wang. "Non-linear Feature Fusion Based on Polynomial Correlation Filter for Face Recognition." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42057-3_40.

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Yang, Linlin, Dandan Du, Baochang Zhang, and Wankou Yang. "A Panoramic Video System Based on Exposure Adjustment and Non-linear Fusion." In Biometric Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_59.

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Varillon, G., J. M. Clarisse, and A. Couairon. "Non-modal Linear Stability Analysis of Ablation Flows Relative to Inertial Confinement Fusion." In IUTAM Laminar-Turbulent Transition. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67902-6_44.

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Malysiak, Darius, Anna-Katharina Römhild, Christoph Nieß, and Uwe Handmann. "Boosting Detection Results of HOG-Based Algorithms Through Non-linear Metrics and ROI Fusion." In Intelligent Information and Database Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54472-4_54.

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RENDA, Vito, Antonio SORIA, Loris PAPA, and Paolo ROCCO. "NON LINEAR THERMAL TRANSIENT ANALYSIS OF A DIVERTOR PLATE FOR ITER." In Fusion Technology 1990. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-444-88508-1.50038-4.

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Li, Yajie, Kaining Sun, Tao Ming, and Anqing Chen. "A Study of Data Governance Methods Based on Non-Linear Evaluation of K-Domains." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230902.

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The current traditional data governance methods mainly ensure the overall quality of data through data quality inspection, and the lack of data fusion processing leads to poor data governance results. In this regard, a data governance method based on nonlinear evaluation of K domain is proposed. By formulating data cleaning rules, data are processed such as weight reduction, gap filling and deletion, and data fusion operations are performed according to the fusion table attributes by configuring fusion rules. Finally, the data consistency as well as wholeness is checked, and the actual effect
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Flores-Fuentes, Wendy, Moises Rivas-Lopez, Daniel Hernandez-Balbuena, et al. "Optoelectronic Devices Fusion in Machine Vision Applications." In Examining Optoelectronics in Machine Vision and Applications in Industry 4.0. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6522-3.ch001.

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This chapter presents the application of optoelectronic devices fusion as the base for those systems with non-linear behavior supported by artificial intelligence techniques, which require the use of information from various sensors for pattern recognition to produce an enhanced output. It also included a deep survey to define the state of the art in industrial applications following this tendency to identify and recognize the most used optoelectronic sensors, interconnectivity, raw data collection, data processing and interpretation, data fusion, intelligent decision algorithms, software and
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Shahidi, Farhad, Farhood Shahidi, Oveys Ghodousian, Vahid Shafaie, and Majid Movahedi Rad. "Non-Linear Time History and Pushover Analysis of a Steel Silo Behavior." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240564.

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Earthquakes, among the most destructive natural hazards, result in substantial economic and demographic losses. An effective strategy to mitigate future structural damage involves investigating past collapses. Numerical modeling proves instrumental in analyzing and identifying deficiencies in collapsed structures. This study numerically evaluates a steel silo damaged during the 2011 Van earthquake. Employing non-linear time history and pushover analyses, the research assesses the silo’s performance. Findings highlight inadequate welding dimensions and incomplete fusion with the base metal in f
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Wang, Weilong, and Hongxia Cai. "Research on Wind Turbine Maintenance Based on Data-Physical Fusion Modeling." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230313.

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With the large-scale application of wind power generation technology, its maintenance and repair have received extensive attention. Since wind turbines are complex equipment coupled with multiple fields, the faults are sudden and diverse, and the fault samples are scattered. At the same time, wind turbine operation data has non-linear and unstable time-series characteristics. Single data-driven and physics-driven methods can no longer well meet the current wind turbine maintenance needs. This paper proposes a wind turbine maintenance method with data-mechanism fusion modeling. A data-driven al
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Monteverde, S., R. Ruggerone, D. Traverso, S. Dellepiane, and G. Tacconi. "Data fusion and non linear processing of E.L.F. signal for the detection of tethered satellite system." In Time-Varying Image Processing and Moving Object Recognition, 4. Elsevier, 1997. http://dx.doi.org/10.1016/b978-044482307-6/50029-1.

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Conference papers on the topic "Non-linear fusion"

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Hoyt, Shaun J., W. Dale Blair, and Aaron D. Lanterman. "Non-Linear Bias Mitigation in Multi-Sensor Multi-Track Fusion." In 2024 27th International Conference on Information Fusion (FUSION). IEEE, 2024. http://dx.doi.org/10.23919/fusion59988.2024.10706450.

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Narula, Karan, Jose E. Guivant, and Xeusong Li. "Non-linear Estimation with Generalised Compressed Kalman Filter." In 2018 21st International Conference on Information Fusion (FUSION 2018). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455338.

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Raitoharju, Matti, Roland Hostettler, and Simo Sarkka. "Posterior linearisation filter for non-linear state transformation noises." In 2022 25th International Conference on Information Fusion (FUSION). IEEE, 2022. http://dx.doi.org/10.23919/fusion49751.2022.9841320.

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Bailey, Tim, Ben Upcroft, and Hugh Durrant-Whyte. "Validation Gating for Non-Linear Non-Gaussian Target Tracking." In 2006 9th International Conference on Information Fusion. IEEE, 2006. http://dx.doi.org/10.1109/icif.2006.301597.

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Govaers, Felix. "On Canonical Polyadic Decomposition of Non-Linear Gaussian Likelihood Functions." In 2018 21st International Conference on Information Fusion (FUSION 2018). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455702.

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Tronarp, Filip, and Simo Sarkka. "Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion." In 2018 International Conference on Information Fusion (FUSION). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455493.

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Robins, P., and P. Thomas. "Non-linear Bayesian CBRN source term estimation." In 2005 7th International Conference on Information Fusion. IEEE, 2005. http://dx.doi.org/10.1109/icif.2005.1591980.

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Zhang, Le, Jian Lan, and X. Rong Li. "Normal-Gamma IMM Filter for Linear Systems with Non-Gaussian Measurement Noise." In 2019 22th International Conference on Information Fusion (FUSION). IEEE, 2019. http://dx.doi.org/10.23919/fusion43075.2019.9011166.

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Braga, Andre R., Carsten Fritsche, Fredrik Gustafsson, and Marcelo G. S. Bruno. "Gradient-based recursive maximum likelihood identification of Jump Markov Non-Linear Systems." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009651.

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Rong Fan, Qiufen Yang, and Guanqun Liu. "Non-linear weighted multiband fusion image algorithm." In 2014 IEEE Workshop on Electronics, Computer and Applications (IWECA). IEEE, 2014. http://dx.doi.org/10.1109/iweca.2014.6845653.

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Reports on the topic "Non-linear fusion"

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Tandon, Samarth, and Ravi Krishnamurthy. PR328-163605-R01 Methodology for Assessing Seam Weld Anomalies Using In-Line Inspection Data. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011638.

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The effective integrity management of seam weld defects in pipelines is a challenge for the pipeline operators. The current In-Line Inspection (ILI) technologies can detect linear anomalies in the seam weld but have a limited capability in discriminating different types of features, such as crack and crack-like features, hook cracks, notch-type lack of fusion (LOF) indications, and inclusions. Due to this limitation, pipeline operators have to assume ILI reported linear indications as cracks and utilize the most conservative methods for assessment. This conservatism may have led to unnecessary
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