Výsledky vyhľadávania - "self-organizing map algorithm"
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Adaptive cross-site scripting attack detection framework for smart devices security using intelligent filters and attack ontology
ISSN: 1432-7643, 1433-7479Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2023Vydané v Soft computing (Berlin, Germany) (01.04.2023)“…Smart devices are equipped with technology that facilitates communication among devices connected via the Internet. These devices are shipped with a user…”
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Improved SOM algorithm for damage characterization based on visual sensing
ISSN: 1230-2945, 2300-3103Vydavateľské údaje: Warsaw De Gruyter Brill Sp. z o.o., Paradigm Publishing Services 01.01.2025Vydané v Archives of civil engineering (01.01.2025)“…In the field of concrete structure health monitoring, accurately and swiftly identifying damage characteristics stands as a pivotal task. To enhance the…”
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Minority Resampling Boosted Unsupervised Learning With Hyperdimensional Computing for Threat Detection at the Edge of Internet of Things
ISSN: 2169-3536, 2169-3536Vydavateľské údaje: Piscataway IEEE 2021Vydané v IEEE access (2021)“…The Internet of Things (IoT) has rapidly transformed digital environments across a multitude of domains with increased connectivity and pervasive…”
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High genetic differentiation of grapevine rootstock varieties determined by molecular markers and artificial neural networks
ISSN: 1679-9275, 1807-8621, 1807-8621Vydavateľské údaje: Maringa Universidade Estadual de Maringa 01.01.2020Vydané v Acta scientiarum. Agronomy (01.01.2020)“…The genetic differentiation of grapevine rootstock varieties was inferred by the Artificial Neural Network approach based on the Self-Organizing Map algorithm…”
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A new outlier detection base on the self-organizing map algorithm
ISSN: 1934-1768Vydavateľské údaje: TCCT, CAA 01.07.2013Vydané v Chinese Control Conference (01.07.2013)“…This article applies the method of artificial neural networks in the outlier detection, and gives one kind of new outlier detection method. According to the…”
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Features Modeling of Oil Sands Reservoirs in Metric Space
ISSN: 1556-7036, 1556-7230Vydavateľské údaje: Taylor & Francis 17.12.2014Vydané v Energy sources. Part A, Recovery, utilization, and environmental effects (17.12.2014)“…Uncertainty in oil sands reservoirs can be quantified by generating multiple realizations using geostatistical methods. However, it requires huge computing…”
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Pockets Full of Memories: an interactive museum installation
ISSN: 1470-3572, 1741-3214Vydavateľské údaje: Thousand Oaks, CA SAGE Publications 01.06.2002Vydané v Visual communication (London, England) (01.06.2002)“…Conceived as an installation on the topic of the archive and memory, Pockets Full of Memories was exhibited on the main floor of the Centre Pompidou National…”
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vNMF: Distributed fault detection using clustering approach for network function virtualization
ISSN: 1573-0077Vydavateľské údaje: IEEE 01.05.2015Vydané v 2015 IFIP IEEE International Symposium on Integrated Network Management (IM) (01.05.2015)“…Network function virtualization introduces additional complexity for network management through the use of virtualization environments. The amount of managed…”
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ART neural network based clustering method produces best quality clusters of fingerprints in comparison to Self Organizing Map and K-Means Clustering Algorithms
ISBN: 9781424433964, 1424433967Vydavateľské údaje: IEEE 01.12.2008Vydané v 2008 International Conference on Innovations in Information Technology (01.12.2008)“…In this paper, we present and compare three clustering approaches which group fingerprints according to its minutiae points locations. The best technique for…”
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Fingerprint Clustering and its Application to Generate Class Code Using ART Neural Network
ISSN: 2157-0477Vydavateľské údaje: IEEE 01.07.2008Vydané v 2008 First International Conference on Emerging Trends in Engineering and Technology (01.07.2008)“…In this paper, we present a novel approach to group fingerprints according to its minutiae point's locations. Our technique for grouping fingerprints is based…”
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Validation of two hybrid approaches for clustering age-related groups based on gait kinematics data
ISSN: 1350-4533, 1873-4030, 1873-4030Vydavateľské údaje: England Elsevier Ltd 01.04.2020Vydané v Medical engineering & physics (01.04.2020)“…•The hybrid approaches presented a similar performance, overpowering the FCM algorithm.•The SOM + KM is recommended for demanding less computational resources…”
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Mapping between different kinematic structures without absolute positioning during operation
ISSN: 0013-5194, 1350-911X, 1350-911XVydavateľské údaje: Stevenage Institution of Engineering and Technology 30.08.2012Vydané v Electronics letters (30.08.2012)“…When creating datasets for modelling of human skills based on training examples from human motion, one can encounter the problem that the kinematics of the…”
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Intelligent Monitoring Scheduling in Wireless Sensor Networks
ISBN: 9781424421077, 1424421071ISSN: 2161-9646Vydavateľské údaje: IEEE 01.10.2008Vydané v 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (01.10.2008)“…This paper describes a dynamic distributed monitoring scheduling algorithm (SOMSA) for sensor networks based on artificial neural-networks self-organizing maps…”
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Self Learning and its Implications for Machine Understanding
ISBN: 1424428998, 9781424428991ISSN: 2151-1802Vydavateľské údaje: IEEE 01.12.2008Vydané v 2008 4th International Conference on Information and Automation for Sustainability (01.12.2008)“…Contemporary machine intelligence is far from realizing prominent hallmarks of human understanding and consciousness. The primary shortcoming of current…”
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Mapping geology and volcanic-hosted massive sulfide alteration in the Hellyer-Mt Charter region, Tasmania, using Random Forests™ and Self-Organising Maps
ISSN: 0812-0099, 1440-0952Vydavateľské údaje: Taylor & Francis 2014Vydané v Australian journal of earth sciences (2014)“…The Hellyer-Mt Charter region of western Tasmania includes three known and economically significant volcanic-hosted massive sulfide (VHMS) deposits. Thick…”
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