Results 41 to 50 of about 1,888,648 (281)
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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Co-clustering separately exchangeable network data
, 2014 This article establishes the performance of stochastic blockmodels in addressing the co-clustering problem of partitioning a binary array into subsets, assuming only that the data are generated by a nonparametric process satisfying the condition of ...
Choi, David, Wolfe, Patrick J.
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Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
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A Quaternion Clustering Framework
International Journal of Applied Mathematics and Computer Science, 2020 Data clustering is one of the most popular methods of data mining and cluster analysis. The goal of clustering algorithms is to partition a data set into a specific number of clusters for compressing or summarizing original values. There are a variety of
Piórek Michał, Jabłoński Bartosz
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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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Subspace clustering of dimensionality-reduced data
, 2014 Subspace clustering refers to the problem of clustering unlabeled high-dimensional data points into a union of low-dimensional linear subspaces, assumed unknown.
Bölcskei, Helmut +2 more
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CLUSTERING FUNCTIONAL DATA USING WAVELETS [PDF]
International Journal of Wavelets, Multiresolution and Information Processing, 2013 We present two strategies for detecting patterns and clusters in high-dimensional time-dependent functional data. The use on wavelet-based similarity measures, since wavelets are well suited for identifying highly discriminant local time and scale features.
Antoniadis, Anestis +3 more
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Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
Security and Cryptographic Challenges for Authentication Based on Biometrics Data
Cryptography, 2018 Authentication systems based on biometrics characteristics and data represents one of the most important trend in the evolution of the society, e.g., Smart City, Internet-of-Things (IoT), Cloud Computing, Big Data.
Stefania Loredana Nita +2 more
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