Results 21 to 30 of about 50,721 (144)
Bayesian classifiers for detecting HGT using fixed and variable order markov models of genomic signatures [PDF]
Bioinformatics, 2006 Abstract Motivation: Analyses of genomic signatures are gaining attention as they allow studies of species-specific relationships without involving alignments of homologous sequences. A naïve Bayesian classifier was built to discriminate between different bacterial compositions of short oligomers, also known as DNA words.
Daniel, Dalevi +2 more
openaire +2 more sources
A Multi-variables Multi -sites Model for Forecasting Hydrological Data Series
Journal of Engineering, 2023 A multivariate multisite hydrological data forecasting model was derived and checked using a case study. The philosophy is to use simultaneously the cross-variable correlations, cross-site correlations and the time lag correlations. The case study is of
Rafa H. Al-Suhili +1 more
doaj +1 more source
PLoS ONE, 2022 This paper aims to explore several ways to construct a scientific and comprehensive early warning system (EWS) for local government debt risk in China.
Xing Li, Xiangyu Ge, Cong Chen
doaj +2 more sources
Inversion of Space Debris Material by Synthetic Light Curves
Aerospace, 2023 Ground-based optical observation of GEO space debris plays an essential role in tracking, identifying, cataloging, and classifying space debris. The factors that affect the brightness of space debris include size, surface material, illumination geometry,
Yuchen Jiang +6 more
doaj +1 more source
A Personal Location Prediction Method Based on Individual Trajectory and Group Trajectory
IEEE Access, 2019 With the rapid development of communication technology, a large amount of spatiotemporal trajectory data has been produced. One of the critical applications of trajectory data is location prediction that is important for urban traffic planning and ...
Fan Li +5 more
doaj +1 more source
Neuronal ensemble modelling and analysis with variable order Markov models [PDF]
, 2010 Neuronal cells (neurons) mainly transmit signals by action potentials or spikes. Neuronal electrical activity is recorded from experimental animals by microelectrodes placed in specific brain areas. These electrochemical fast phenomena occur as all-or-none events and can be analyzed as boolean sequences.
openaire +2 more sources
Computation, 2015 One fundamental problem of bioinformatics is the computational recognition of DNA and RNA binding sites. Given a set of short DNA or RNA sequences of equal length such as transcription factor binding sites or RNA splice sites, the task is to learn a ...
Anja Fischer +5 more
doaj +1 more source
Bearing Capacity of Unbonded Flexible Pipe Carcass with Corrosion Defects
Shiyou jixie, 2022 The innermost carcass of flexible pipe directly contacts with the transported medium,and corrosion occurs inevitably,which will affect the pressure bearing capacity of the pipeline.In order to investigate the influence of corrosion defects on the ...
Lu Zhongqi +4 more
doaj
Auditory learning of recurrent tone sequences is present in the newborn's brain
NeuroImage, 2023 The seemingly effortless ability of our auditory system to rapidly detect new events in a dynamic environment is crucial for survival. Whether the underlying brain processes are innate is unknown.
Brigitta Tóth +6 more
doaj +1 more source
A Configurable Statistical Lossless Compression Core Based on Variable Order Markov Modeling and Arithmetic Coding [PDF]
IEEE Transactions on Computers, 2005 This paper presents a practical realization in hardware of the concepts of variable order Markov modeling using multisymbol alphabets and arithmetic coding for lossless compression of universal data. This type of statistical coding algorithm has long been regarded as being able to deliver very high compression ratios close to the information content of
Nunez-Yanez, Jose L +1 more
openaire +3 more sources