Bibliografías temáticas / Algorithmes de fusion

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Literatura académica sobre el tema "Algorithmes de fusion"

Autor: Grafiati
Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Algorithmes de fusion"

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Thomson, Ashlee J., Jacqueline A. Rehn, Susan L. Heatley, et al. "Reproducible Bioinformatics Analysis Workflows for Detecting IGH Gene Fusions in B-Cell Acute Lymphoblastic Leukaemia Patients." Cancers 15, no. 19 (2023): 4731. http://dx.doi.org/10.3390/cancers15194731.

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B-cell acute lymphoblastic leukaemia (B-ALL) is characterised by diverse genomic alterations, the most frequent being gene fusions detected via transcriptomic analysis (mRNA-seq). Due to its hypervariable nature, gene fusions involving the Immunoglobulin Heavy Chain (IGH) locus can be difficult to detect with standard gene fusion calling algorithms and significant computational resources and analysis times are required. We aimed to optimize a gene fusion calling workflow to achieve best-case sensitivity for IGH gene fusion detection. Using Nextflow, we developed a simplified workflow containin
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Carrara, Matteo, Marco Beccuti, Fulvio Lazzarato, et al. "State-of-the-Art Fusion-Finder Algorithms Sensitivity and Specificity." BioMed Research International 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/340620.

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Background. Gene fusions arising from chromosomal translocations have been implicated in cancer. RNA-seq has the potential to discover such rearrangements generating functional proteins (chimera/fusion). Recently, many methods for chimeras detection have been published. However, specificity and sensitivity of those tools were not extensively investigated in a comparative way.Results. We tested eight fusion-detection tools (FusionHunter, FusionMap, FusionFinder, MapSplice, deFuse, Bellerophontes, ChimeraScan, and TopHat-fusion) to detect fusion events using synthetic and real datasets encompass
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Fu Hongyu, 付宏语, 巩岩 Gong Yan, 汪路涵 Wang Luhan та ін. "多聚焦显微图像融合算法". Laser & Optoelectronics Progress 61, № 6 (2024): 0618022. http://dx.doi.org/10.3788/lop232015.

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Tan, Yuxiang, Yann Tambouret, and Stefano Monti. "SimFuse: A Novel Fusion Simulator for RNA Sequencing (RNA-Seq) Data." BioMed Research International 2015 (2015): 1–5. http://dx.doi.org/10.1155/2015/780519.

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The performance evaluation of fusion detection algorithms from high-throughput sequencing data crucially relies on the availability of data with known positive and negative cases of gene rearrangements. The use of simulated data circumvents some shortcomings of real data by generation of an unlimited number of true and false positive events, and the consequent robust estimation of accuracy measures, such as precision and recall. Although a few simulated fusion datasets from RNA Sequencing (RNA-Seq) are available, they are of limited sample size. This makes it difficult to systematically evalua
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Dehghannasiri, Roozbeh, Donald E. Freeman, Milos Jordanski, et al. "Improved detection of gene fusions by applying statistical methods reveals oncogenic RNA cancer drivers." Proceedings of the National Academy of Sciences 116, no. 31 (2019): 15524–33. http://dx.doi.org/10.1073/pnas.1900391116.

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The extent to which gene fusions function as drivers of cancer remains a critical open question. Current algorithms do not sufficiently identify false-positive fusions arising during library preparation, sequencing, and alignment. Here, we introduce Data-Enriched Efficient PrEcise STatistical fusion detection (DEEPEST), an algorithm that uses statistical modeling to minimize false-positives while increasing the sensitivity of fusion detection. In 9,946 tumor RNA-sequencing datasets from The Cancer Genome Atlas (TCGA) across 33 tumor types, DEEPEST identifies 31,007 fusions, 30% more than ident
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Nandeesh, M. D., and Dr M. Meenakshi. "Image Fusion Algorithms for Medical Images-A Comparison." Bonfring International Journal of Advances in Image Processing 5, no. 3 (2015): 23–26. http://dx.doi.org/10.9756/bijaip.8051.

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Karan, Canan, Elaine Tan, Humaira Sarfraz, et al. "Clinical and molecular characterization of fusion genes in colorectal cancer." Journal of Clinical Oncology 40, no. 16_suppl (2022): e15568-e15568. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e15568.

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e15568 Background: Next-generation sequencing (NGS) based molecular profiling technologies have revealed several oncogenic fusion genes that are actionable with small molecule inhibitors leading to practice change, particularly in lung cancer. The molecular and clinical characteristics of these gene fusions are not well defined in colorectal cancer patients (CRC). In this study, we aimed to define clinical and molecular characteristics of fusion genes in patients with CRC who underwent molecular profiling. Methods: Molecular characteristics of tissue confirmed 917 CRC patients were retrieved f
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Foltz, Steven M., Qingsong Gao, Christopher J. Yoon, et al. "Comprehensive Multi-Omics Analysis of Gene Fusions in a Large Multiple Myeloma Cohort." Blood 132, Supplement 1 (2018): 1898. http://dx.doi.org/10.1182/blood-2018-99-117245.

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Abstract Introduction: Gene fusions are the result of genomic rearrangements that create hybrid protein products or bring the regulatory elements of one gene into close proximity of another. Fusions often dysregulate gene function or expression through oncogene overexpression or tumor suppressor underexpression (Gao, Liang, Foltz, et al. Cell Rep 2018). Some fusions such as EML4--ALK in lung adenocarcinoma are known druggable targets. Fusion detection algorithms utilize discordantly mapped RNA-seq reads. Careful consideration of detection and filtering procedures is vital for large-scale fusio
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Thomas, Brad B., Yanglong Mou, Lauryn Keeler, et al. "A Highly Sensitive and Specific Gene Fusion Algorithm Based on Multiple Fusion Callers and an Ensemble Machine Learning Approach." Blood 136, Supplement 1 (2020): 12–13. http://dx.doi.org/10.1182/blood-2020-142020.

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Background: Gene Fusion events are common occurrences in malignancies, and are frequently drivers of malignancy. FISH and qPCR are two methods often used for identifying highly prevalent gene fusions/translocations. However, these are single target assays, requiring a lot of effort and sample if multiple assays are needed for multiple targets like sarcoma. High-throughput parallel (NextGen) DNA and RNA sequencing are also in current use to detect and characterize gene fusions. RNA sequencing (RNAseq) has the advantage that multiple markers can be targeted at one time and RNA fusions are readil
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Sun, Changqi, Cong Zhang, and Naixue Xiong. "Infrared and Visible Image Fusion Techniques Based on Deep Learning: A Review." Electronics 9, no. 12 (2020): 2162. http://dx.doi.org/10.3390/electronics9122162.

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Infrared and visible image fusion technologies make full use of different image features obtained by different sensors, retain complementary information of the source images during the fusion process, and use redundant information to improve the credibility of the fusion image. In recent years, many researchers have used deep learning methods (DL) to explore the field of image fusion and found that applying DL has improved the time-consuming efficiency of the model and the fusion effect. However, DL includes many branches, and there is currently no detailed investigation of deep learning metho
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Tesis sobre el tema "Algorithmes de fusion"

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Kaci, Souhila. "Connaissances et préférences : représentation et fusion en logique possibiliste." Toulouse 3, 2002. http://www.theses.fr/2002TOU30029.

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Zarrouati-Vissière, Nadège. "La réalité augmentée : fusion de vision et navigation." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2013. http://pastel.archives-ouvertes.fr/pastel-00961962.

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Cette thèse a pour objet l'étude d'algorithmes pour des applications de réalité visuellement augmentée. Plusieurs besoins existent pour de telles applications, qui sont traités en tenant compte de la contrainte d'indistinguabilité de la profondeur et du mouvement linéaire dans le cas de l'utilisation de systèmes monoculaires. Pour insérer en temps réel de manière réaliste des objets virtuels dans des images acquises dans un environnement arbitraire et inconnu, il est non seulement nécessaire d'avoir une perception 3D de cet environnement à chaque instant, mais également d'y localiser préciséme
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Arezki, Yassir. "Algorithmes de références 'robustes' pour la métrologie dimensionnelle des surfaces asphériques et des surfaces complexes en optique." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLN058.

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Les formes asphériques et les surfaces complexes sont une classe très avancée d'éléments optiques. Leur application a considérablement augmenté au cours des dernières années dans les systèmes d'imagerie, l'astronomie, la lithographie, etc. La métrologie de ces pièces est très difficile, en raison de la grande gamme dynamique d'information acquise et la traçabilité à l'unité SI mètre. Elle devrait faire usage de la norme infinie; (Méthode de zone minimum ou la méthode Min-Max) pour calculer l'enveloppe entourant les points dans le jeu de données en réduisant au minimum la différence entre l'éca
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Laporterie, Florence. "Représentations hiérarchiques d'images avec des pyramides morphologiques : application à l'analyse et à la fusion spatio-temporelle de données en observation de la Terre." Toulouse, ENSAE, 2002. http://www.theses.fr/2002ESAE0001.

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Le mémoire présente le développement d'une représentation multi-échelle d'images par une famille de pyramides morphologiques et ses applications à l'analyse et à la fusion d'images en télédétection. La représentation hiérarchique proposée est basée sur une approche pyramidale utilisant les filtres non linéaires de la morphologie mathématique. La partie II propose d'abord un état de l'art des transformations pyramidales puis décrit le principe de la pyramide morphologique. Ses propriétés sont étudiées au travers de différents paramétrages et des familles qui en découlent. La pyramide morphologi
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Poinsot, Audrey. "Traitements pour la reconnaissance biométrique multimodale : algorithmes et architectures." Thesis, Dijon, 2011. http://www.theses.fr/2011DIJOS010.

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Combiner les sources d'information pour créer un système de reconnaissance biométrique multimodal permet d'atténuer les limitations de chaque caractéristique utilisée, et donne l'opportunité d'améliorer significativement les performances. Le travail présenté dans ce manuscrit a été réalisé dans le but de proposer un système de reconnaissance performant, qui réponde à des contraintes d'utilisation grand-public, et qui puisse être implanté sur un système matériel de faible coût. La solution choisie explore les possibilités apportées par la multimodalité, et en particulier par la fusion du visage
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Awad, Mohamad M. "Mise en oeuvre d'un système coopératif adaptatif de segmentation d'images multicomposantes." Rennes 1, 2008. http://www.theses.fr/2008REN1S031.

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The exploitation of images acquired by various sensors for a difficult application such as the Remote Sensing presents a wide investigation field and poses many problems for all levels of the image processing chain. Also, the development of adaptive and optimized segmentation and fusion methods proves out to be indispensable. Image segmentation and fusion are the key phases of all systems of recognition or interpretation by vision: the rate of identification or the quality of interpretation depends indeed closely on the sharpness of the analysis and the relevance of results of these phases. Al
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Khiari, Nefissa. "Biométrie multimodale basée sur l’iris et le visage." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLE014/document.

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Cette thèse vise à apporter une contribution dans le domaine de la biométrie par l’iris (l’une des modalités les plus précises et difficiles à pirater) et le visage (l’une des modalités les moins intrusives et les moins coûteuses). A travers ce travail, nous abordons plusieurs aspects importants de la biométrie mono et multimodale. Nous commençons par dresser un état de l’art sur la biométrie monomodale par l’iris et par le visage et sur la multimodalité iris/visage, avant de proposer plusieurs approches personnelles de reconnaissance d’individus pour chacune des deux modalités. Nous abordons,
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Salmeron-Quiroz, Bernardino Benito. "Fusion de données multicapteurs pour la capture de mouvement." Phd thesis, Université Joseph Fourier (Grenoble), 2007. http://tel.archives-ouvertes.fr/tel-00148577.

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Cette thèse est située dans le contexte des applications de la capture de mouvement humain dont le but est d'inférer la position du corps humain. Les systèmes de capture de mouvement sont des outils "software" et hardware " qui permettent le traitement en temps réel ou en temps différé de données permettant de retrouver le mouvement (position, orientation) d'un objet ou d'un humain dans l'espace. Différents systèmes de capture de mouvement existent sur le marché. Ils diffèrent essentiellement par leur technologie mais nécessitent une adaptation de l'environnement et parfois l'équipement de la
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Salmeron-Quiroz, Bernardino Benito. "Fusion de données multicapteurs pour la capture de mouvement." Phd thesis, Grenoble 1, 2007. http://www.theses.fr/2007GRE10062.

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Cette thèse est située dans le contexte des applications de la capture de mouvement humain dont le but est d'inférer la position du corps humain. Les systèmes de capture de mouvement sont des outils "software" et hardware " qui permettent le traitement en temps réel ou en temps différé de données permettant de retrouver le mouvement (position, orientation) d'un objet ou d'un humain dans l'espace. Différents systèmes de capture de mouvement existent sur le marché. Ils diffèrent essentiellement par leur technologie mais nécessitent une adaptation de l'environnement et parfois l'équipement de la
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Bader, Kaci. "Tolérance aux fautes pour la perception multi-capteurs : application à la localisation d'un véhicule intelligent." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2161/document.

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La perception est une entrée fondamentale des systèmes robotiques, en particulier pour la localisation, la navigation et l'interaction avec l'environnement. Or les données perçues par les systèmes robotiques sont souvent complexes et sujettes à des imprécisions importantes. Pour remédier à ces problèmes, l'approche multi-capteurs utilise soit plusieurs capteurs de même type pour exploiter leur redondance, soit des capteurs de types différents pour exploiter leur complémentarité afin de réduire les imprécisions et les incertitudes sur les capteurs. La validation de cette approche de fusion de d
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Libros sobre el tema "Algorithmes de fusion"

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service), ScienceDirect (Online, ed. Image fusion: Algorithms and applications. Academic Press/Elsevier, 2008.

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Antony, Richard T. Principles of data fusion automation. Artech House, 1995.

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Abdelgawad, Ahmed, and Magdy Bayoumi. Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1350-9.

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Abdelgawad, Ahmed. Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks. Springer US, 2012.

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C, Jain L., and Martin N. M, eds. Fusion of neural networks, fuzzy sets, and genetic algorithms: Industrial applications. CRC press, 1999.

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Carpenter, J. Russell. Progress in navigation filter estimate fusion and its application to spacecraft rendezvous. National Aeronautics and Space Administration, 1994.

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Carpenter, J. Russell. Progress in navigation filter estimate fusion and its application to spacecraft rendezvous. National Aeronautics and Space Administration, 1994.

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V, Dasarathy Belur, and Society of Photo-optical Instrumentation Engineers., eds. Sensor fusion--architectures, algorithms, and applications III: 7-9 April 1999, Orlando, Florida. SPIE, 1999.

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V, Dasarathy Belur, and Society of Photo-optical Instrumentation Engineers., eds. Sensor fusion--architectures, algorithms, and applications II: 16-17 April 1998, Orlando, Florida. SPIE, 1998.

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V, Dasarathy Belur, and Society of Photo-optical Instrumentation Engineers., eds. Sensor fusion--architectures, algorithms, and applications V: 18-20 April, 2001, Orlando, USA. SPIE, 2001.

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Capítulos de libros sobre el tema "Algorithmes de fusion"

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Jøsang, Audun. "Belief Fusion." In Artificial Intelligence: Foundations, Theory, and Algorithms. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42337-1_12.

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Nimier, V. "Soft Sensor Management for Multisensor Tracking Algorithm." In Multisensor Fusion. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_15.

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Wang, Dayi, Maodeng Li, Xiangyu Huang, and Xiaowen Zhang. "Estimation Fusion Algorithm." In Space Science and Technologies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4879-6_3.

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Nehiwal, Jayesh, Harish Kumar Khyani, Shrawan Ram Patel, and Chandershekhar Singh. "Nuclear Fusion: Energy of Future." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8820-4_28.

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Jouan, A., B. Jarry, and H. Michalska. "Tracking Closely Maneuvering Targets in Clutter with an IMM-JVC Algorithm." In Multisensor Fusion. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_27.

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Turhan-Sayan, G. "Multi-Aspect Data Fusion Applied to Electromagnetic Target Classification using Enetic Algorithm." In Multisensor Fusion. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0556-2_24.

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Abdelgawad, Ahmed, and Magdy Bayoumi. "Proposed Centralized Data Fusion Algorithms." In Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1350-9_3.

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Onoue, Y., Z. Hu, H. Iwasaki, and M. Takeichi. "A Calculational Fusion System HYLO." In Algorithmic Languages and Calculi. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35264-0_4.

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van Inge, Anthony, L. O. Hertzberger, A. G. Starreveld, and F. C. A. Groen. "Algorithms on a SIMD processor array." In Multisensor Fusion for Computer Vision. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-02957-2_18.

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Fosbury, Adam M., John L. Crassidis, and Jemin George. "Contextual Tracking in Surface Applications: Algorithms and Design Examples." In Context-Enhanced Information Fusion. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28971-7_13.

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Actas de conferencias sobre el tema "Algorithmes de fusion"

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Ismail, Hesham, and Balakumar Balachandran. "Feature Extraction Algorithm Fusion for SONAR Sensor Data Based Environment Mapping." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37116.

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Mobile platforms that make use of concurrent localization and mapping algorithms have industrial applications for autonomous inspection and maintenance, such as the inspection of flaws and defects in oil pipelines and storage tanks. An important component of these algorithms is feature extraction, which involves detection of significant features that represent the environment. For example, points and lines can be used to represent features such as corners, edges, and walls. Feature extraction algorithms make use of relative position and angle data from sensor measurements gathered as the mobil
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Abdolsamadi, Amirmahyar, Pingfeng Wang, and Prasanna Tamilselvan. "A Generic Fusion Platform of Failure Diagnostics for Resilient Engineering System Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47009.

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Effective health diagnostics provides benefits such as improved safety, improved reliability, and reduced costs for the operation and maintenance of complex engineered systems. This paper presents a multi-attribute classification fusion approach which leverages the strengths provided by multiple membership classifiers to form a robust classification model for structural health diagnostics. The developed classification fusion approach conducts the health diagnostics with three primary stages: (i) fusion formulation using a k-fold cross validation model; (ii) diagnostics with multiple multi-attr
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Yousif, Ahmed Luay Yousif, and Mohamed Elsobky. "LIDAR Phenomenological Sensor Model: Development and Validation." In Mobility 4.0. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1902.

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<div class="section abstract"><div class="htmlview paragraph">In the rapidly evolving era of software and autonomous driving systems, there is a pressing demand for extensive validation and accelerated development. This necessity arises from the need for copious amounts of data to effectively develop and train neural network algorithms, especially for autonomous vehicles equipped with sensor suites encompassing various specialized algorithms, such as object detection, classification, and tracking. To construct a robust system, sensor data fusion plays a vital role. One approach to
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Tamilselvan, Prasanna, Pingfeng Wang, and Chao Hu. "Design of a Robust Classification Fusion Platform for Structural Health Diagnostics." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12601.

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Efficient health diagnostics provides benefits such as improved safety, improved reliability, and reduced costs for the operation and maintenance of engineered systems. This paper presents a multi-attribute classification fusion approach which leverages the strengths provided by multiple membership classifiers to form a robust classification model for structural health diagnostics. Health diagnosis using the developed approach consists of three primary steps: (i) fusion formulation using a k-fold cross validation model; (ii) diagnostics with multiple multi-attribute classifiers as member algor
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Roussel, Stephane, Hemanth Porumamilla, Charles Birdsong, Peter Schuster, and Christopher Clark. "Enhanced Vehicle Identification Utilizing Sensor Fusion and Statistical Algorithms." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12012.

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Several studies in the area of vehicle detection and identification involve the use of probabilistic analysis and sensor fusion. While several sensors utilized for identifying vehicle presence and proximity have been researched, their effectiveness in identifying vehicle types has remained inadequate. This study presents the utilization of an ultrasonic sensor coupled with a magnetic sensor and the development of statistical algorithms to overcome this limitation. Mathematical models of both the ultrasonic and magnetic sensors were constructed to first understand the intrinsic characteristics
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Wen, Yao-Jung, Alice M. Agogino, and Kai Goebel. "Fuzzy Validation and Fusion for Wireless Sensor Networks." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60964.

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Miniaturized, distributed, networked sensors — called motes — promise to be smaller, less expensive and more versatile than other sensing alternatives. While these motes may have less individual reliability, high accuracy for the overall system is still desirable. Sensor validation and fusion algorithms provide a mechanism to extract pertinent information from massively sensed data and identify incipient sensor failures. Fuzzy approaches have proven to be effective and robust in challenging sensor validation and fusion applications. The algorithm developed in this paper — called mote-FVF (fuzz
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Munro, Deborah S., and Munish C. Gupta. "Correlation of Strain on Instrumentation to Simulated Posterolateral Lumbar Fusion in a Sheep Model." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65696.

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Determining the stability and integrity of posterolateral lumbar spinal fusions continues to be one of the leading challenges facing surgeons today. Radiographs have long been the gold standard for evaluating spinal fusion, but they often give delayed or inaccurate results. It is the goal of this research to develop a new method for determining the strength and stability of a posterolateral lumbar spinal fusion using a sensor based on two strain gauges attached to a spinal rod. It was hypothesized that the spinal implants, in particular the plates or rods, would respond to this change in strai
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Skonnikov, Petr Nikolaevich. "Comparative Analysis of Image Fusion Techniques." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-449-454.

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The relevance of multispectral image fusion problem during search and rescue operations is shown. Well-known algorithms for multispectral image fusion are considered and implemented. The comparison involved algorithms based on averaging, maximum method, analysis of low and high frequency components, assessment of information content, addition of differences, extraction of local contrasts, Laplace pyramid, wavelet transform, principal component analysis, 3D low pass filter, power transformation, tv channel priority, Pytyev morphology, diffuse morphology and local weighting summation. Based on p
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Bather, J. "Tracking and data fusion." In IEE International Seminar Target Tracking: Algorithms and Applications. IEE, 2001. http://dx.doi.org/10.1049/ic:20010234.

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Ma, Liyao, Bin Sun, and Chunyan Han. "Training Instance Random Sampling Based Evidential Classification Forest Algorithms." In 2018 International Conference on Information Fusion (FUSION). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455427.

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Informes sobre el tema "Algorithmes de fusion"

1

Meyer, David, and Jeffrey Remmel. Distributed Algorithms for Sensor Fusion. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada415039.

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Yocky, D. A., M. D. Chadwick, S. P. Goudy, and D. K. Johnson. Multisensor data fusion algorithm development. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/172138.

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Pao, Lucy Y. Distributed Multisensor Fusion Algorithms for Tracking Applications. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada377900.

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Bassu, Devasis. Fast Multiscale Algorithms for Information Representation and Fusion. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada608426.

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Bassu, Devasis. Fast Multiscale Algorithms for Information Representation and Fusion. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada538312.

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Varshney, Pramod K., Chilukuri K. Mohan, and Krishan G. Mehrotra. Adaptive Models and Fusion Algorithms for Information Exploitation. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada516533.

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Bassu, Devasis. Fast Multiscale Algorithms for Information Representation and Fusion. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada565467.

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Bassu, Devasis. Fast Multiscale Algorithms for Information Representation and Fusion. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada570238.

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Bassu, Devasis. Fast Multiscale Algorithms for Information Representation and Fusion. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada574842.

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DVore, Ronald A. New Theory and Algorithms for Scalable Data Fusion. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada587535.

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