Results 31 to 40 of about 803,970 (265)
Applied Sciences, 2022 Recognizing dangerous situations in advance and determining priority is essential in vessel traffic surveillance. The traffic management priority is determined by the vessel traffic service operator (VTSO) employing the closest point of approach (CPA ...
Lee-na Lee, Joo-sung Kim
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Mental-Map Preserving Visualisation of Partitioned Networks in Vanted
Journal of Integrative Bioinformatics, 2019 Biological networks can be large and complex, often consisting of different sub-networks or parts. Separation of networks into parts, network partitioning and layouts of overview and sub-graphs are of importance for understandable visualisations of those
Garkov Dimitar +3 more
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Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions
JISKA (Jurnal Informatika Sunan Kalijaga)The K-Means algorithm is a fundamental tool in machine learning, widely utilized for data clustering tasks. This research aims to improve the performance of the K-Means algorithm by integrating the Purity method, specifically focusing on clustering ...
Novia Hasdyna +2 more
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ACM Computing Surveys, 2011 In the last few years we have observed a proliferation of approaches for clustering XML documents and schemas based on their structure and content. The presence of such a huge amount of approaches is due to the different applications requiring the clustering of XML data.
Alsayed Algergawy +3 more
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Privileged Information for Data Clustering [PDF]
SSRN Electronic Journal, 2012 Information Sciences 194, 4-23 ...
Jan Feyereisl, Uwe Aickelin
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Exploring Artificial Personality Grouping Through Decision Making in Feature Spaces
AIHuman personality (HP) is seen as an individual’s consistent patterns of feeling, thinking, and behaving by today’s psychological studies, in which HPs are characterized in terms of traits—in particular, as relatively enduring characteristics that ...
Yuan Zhou, Siamak Khatibi
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IEEE Access, 2021 The existing radio frequency-based positioning approaches widely used for indoor localization-based service (LBS) are fingerprinting and trilateration and their integration with the inertial sensors-based dead reckoning system.
Santosh Subedi +3 more
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Spectral clustering with imbalanced data [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 Spectral clustering (SC) and graph-based semi-supervised learning (SSL) algorithms are sensitive to how graphs are constructed from data. In particular if the data has proximal and unbalanced clusters these algorithms can lead to poor performance on well-known graphs such as $k$-NN, full-RBF, $ε$-graphs. This is because the objectives such as Ratio-Cut
Jing Qian, Venkatesh Saligrama
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Stochastic Numerical P Systems With Application in Data Clustering Problems
IEEE Access, 2020 This paper proposes an extension of numerical P (NP) systems, called stochastic numerical P (StNP) systems. In StNP systems, a novel stochastic production function-repartition protocol is developed to evolve the variables.
Jinyu Yang +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
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