Results 21 to 30 of about 1,215,846 (318)
Distributed Dynamic Cluster-Head Selection and Clustering for Massive IoT Access in 5G Networks
Applied Sciences, 2019 With the rapid growth of Internet-of-things (IoT) devices, IoT communication has become an increasingly crucial part of 5G wireless communication systems.
Yifeng Zhao +4 more
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Histology-informed automatic parcellation of white matter tracts in the rat spinal cord
Frontiers in Neuroanatomy, 2022 The white matter is organized into “tracts” or “bundles,” which connect different parts of the central nervous system. Knowing where these tracts are located in each individual is important for understanding the cause of potential sensorial, motor or ...
Harris Nami +4 more
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Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Algorithms, 2017 We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online.
Xin Tian, Song Li
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Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey [PDF]
Neutrosophic Sets and Systems, 2021 Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis.
N.N. Mostafa, K. Ahmed, I. El-Henawy
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ACM Transactions on Knowledge Discovery from Data, 2005 We consider the following problem: given a set of clusterings, find a single clustering that agrees as much as possible with the input clusterings. This problem, clustering aggregation , appears naturally in various contexts.
Aristides Gionis +2 more
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A survey of kernel and spectral methods for clustering [PDF]
, 2007 Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Masulli, F. +11 more
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Drinking water accessibility typologies in low- and middle-income countries
Environmental Research Letters, 2023 We present a data-driven typology framework for understanding patterns in drinking water accessibility across low- and middle-income countries. Further, we obtain novel typology-specific insights regarding the relationships between possible explanatory ...
Hichul Chung, Emily Kumpel, Jimi Oke
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Analysis of key university leadership factors based on their international rankings (QS World University Rankings and Times Higher Education) [PDF]
Problems and Perspectives in Management, 2020 In the context of globalization of the educational services market, competition between universities is becoming more intense. This manifests itself, among other things, in the struggle for positions in international university rankings.
Maxim Polyakov +3 more
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Clustering technique for conceptual clusters [PDF]
Proceedings of the 11th edition of the International Workshop on Smalltalk Technologies, 2016 Clustering aims to classify elements into groups called classes or clusters. Clustering is used in reverse-engineering to help to understand legacy software. It is also a tech-nic used in re-engineering to propose gatherings of software entities to engineers who can then accept them or not. This paper presents a Pharo implementation of an iterative and
Govin, Brice +3 more
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Sequence spaces M ( ϕ ) $M(\phi)$ and N ( ϕ ) $N(\phi)$ with application in clustering
Journal of Inequalities and Applications, 2017 Distance measures play a central role in evolving the clustering technique. Due to the rich mathematical background and natural implementation of l p $l_{p}$ distance measures, researchers were motivated to use them in almost every clustering process ...
Mohd Shoaib Khan +3 more
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