Results 41 to 50 of about 803,970 (265)
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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P System–Based Clustering Methods Using NoSQL Databases
Computation, 2021 Models of computation are fundamental notions in computer science; consequently, they have been the subject of countless research papers, with numerous novel models proposed even in recent years. Amongst a multitude of different approaches, many of these
Péter Lehotay-Kéry +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
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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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An Empirical Study of Cluster-Based MOEA/D Bare Bones PSO for Data Clustering †
Algorithms, 2021 Previously, cluster-based multi or many objective function techniques were proposed to reduce the Pareto set. Recently, researchers proposed such techniques to find better solutions in the objective space to solve engineering problems.
Daphne Teck Ching Lai, Yuji Sato
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
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Histogram-based Feature Extraction for GPS Trajectory Clustering [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020 Clustering trajectories from GPS data is a crucial task for developing applications in intelligent transportation systems.Most existing approaches perform clustering on raw data consisting of series of GPS positions of moving objects overtime.
Chi Nguyen +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens +4 more
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Influence of Compact Memristors’ Stability on Machine Learning
IEEE Access, 2019 Memristors attract wide attention due to its high integration and parallel computation, having great potential to promote the development of machine learning.
Ruohua Zhu +7 more
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Applied Sciences, 2023 In order to establish a highly efficient P system for resolving clustering problems and overcome the computation incompleteness and implementation difficulty of P systems, an attractive clustering membrane system, integrated with enhanced particle swarm ...
Lin Wang +5 more
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