Results 171 to 180 of about 35,609 (308)

Cluster Evaluation of Density Based Subspace Clustering

open access: yes, 2010
Clustering real world data often faced with curse of dimensionality, where real world data often consist of many dimensions. Multidimensional data clustering evaluation can be done through a density-based approach.
Jasni, Mohamad Zain   +1 more
core  

Smart molecular design of NIR‐II organic fluorophores through self‐driven iterative evolution, deep learning, and fragment‐based assembly

open access: yesSmart Molecules, EarlyView.
A smart design strategy for NIR‐II organic fluorophores is proposed by combining self‐driven Iterative evolution, deep Learning, and fragment‐based assembly. This work establishes a broadly applicable approach for molecular design, accelerating the discovery of NIR‐II fluorophores and extending to optoelectronic materials and therapeutic compounds ...
Yu Zhang   +6 more
wiley   +1 more source

Krylov Subspace Methods on Parallel Computers

open access: yes, 1996
The aspects of implementing Krylov subspace methods on parallel computers are investigated. It is shown how to increase the parallel performance by restructuring standard sequential versions of the algorithms, with some trade-off in stability.
Patrik Skogqvist
core  

The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella   +2 more
wiley   +1 more source

Subspace methods in the eigenvalue problem

open access: yes, 2008
The eigenvalue problem plays an important role in many areas of mathematics, science, and engineering. In many situations, we are confronted with the problem of finding the lowest or highest, few eigenpairs of a large, sparse, and symmetric matrix ...
Yasmine F Balkis
core  

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Direct Cardiac T1 Mapping with Subspace Modeling and Free-breathing Data Acquisition. [PDF]

open access: yesIEEE Trans Biomed Eng
Marin T   +8 more
europepmc   +1 more source

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