[图书][B] Risk assessment and decision analysis with Bayesian networks
Since the first edition of this book published, Bayesian networks have become even more
important for applications in a vast array of fields. This second edition includes new material …
important for applications in a vast array of fields. This second edition includes new material …
Relations between transformational leadership, organizational learning, knowledge management, organizational innovation, and organizational performance: an …
A Noruzy, VM Dalfard, B Azhdari… - … International Journal of …, 2013 - Springer
The aim of this study is to determine relations between transformational leadership,
organizational learning, knowledge management, organizational innovation, and …
organizational learning, knowledge management, organizational innovation, and …
[图书][B] Bayesian artificial intelligence
KB Korb, AE Nicholson - 2010 - books.google.com
The second edition of this bestseller provides a practical and accessible introduction to the
main concepts, foundation, and applications of Bayesian networks. This edition contains a …
main concepts, foundation, and applications of Bayesian networks. This edition contains a …
A comparative study of collision types between automated and conventional vehicles using Bayesian probabilistic inferences
Introduction: Automated vehicle (AV) technology is a promising technology for improving the
efficiency of traffic operations and reducing emissions. This technology has the potential to …
efficiency of traffic operations and reducing emissions. This technology has the potential to …
Analysis of traffic accidents on rural highways using Latent Class Clustering and Bayesian Networks
One of the principal objectives of traffic accident analyses is to identify key factors that affect
the severity of an accident. However, with the presence of heterogeneity in the raw data …
the severity of an accident. However, with the presence of heterogeneity in the raw data …
Analysis of traffic accident injury severity on Spanish rural highways using Bayesian networks
Several different factors contribute to injury severity in traffic accidents, such as driver
characteristics, highway characteristics, vehicle characteristics, accidents characteristics …
characteristics, highway characteristics, vehicle characteristics, accidents characteristics …
Bayes classifiers for imbalanced traffic accidents datasets
RO Mujalli, G López, L Garach - Accident Analysis & Prevention, 2016 - Elsevier
Traffic accidents data sets are usually imbalanced, where the number of instances classified
under the killed or severe injuries class (minority) is much lower than those classified under …
under the killed or severe injuries class (minority) is much lower than those classified under …
Injury severity models for motor vehicle accidents: a review
RO Mujalli, J de Oña - Proceedings of the Institution of Civil …, 2013 - icevirtuallibrary.com
Modelling of traffic accidents injury severity is a complex task. In the last few years the
number and variety of studies that analyse injury severity of traffic accidents have increased …
number and variety of studies that analyse injury severity of traffic accidents have increased …
Правовые аспекты вовлечения в хозяйственный оборот неиспользуемых и невостребованных земель сельскохозяйственного назначения
В монографии рассмотрены вопросы по разработке предложений (включая их
правовое, экономическое и информационное обоснование) формирования на …
правовое, экономическое и информационное обоснование) формирования на …
Reliability-based cluster head selection methodology using fuzzy logic for performance improvement in WSNs
S Murugaanandam, V Ganapathy - IEEE Access, 2019 - ieeexplore.ieee.org
Prolonging the network lifetime is one of the vital challenges in wireless sensor networks
(WSNs). Typically, the lifespan of WSNs can be increased by a technique called clustering …
(WSNs). Typically, the lifespan of WSNs can be increased by a technique called clustering …