Results 61 to 70 of about 2,902,077 (302)

Joint Probability Distribution of Extreme Wind Speed and Air Density Based on the Copula Function to Evaluate Basic Wind Pressure

open access: yesAtmosphere
To investigate an appropriate wind load design for buildings considering dynamic air density changes, classical extreme value and copula theories were utilized.
Lianpeng Zhang   +6 more
doaj   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

open access: yesAging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

APPROXIMATE FILTER FOR JUMP-DIFFUSION MODELS

open access: yesНаучный вестник МГТУ ГА, 2016
A new approach to the optimal filtering problem for jump-diffusion models is considered in this paper. This approach is based on the statistical modeling method (Monte Carlo method).
K. A. Rybakov
doaj  

Conditional density approximations with mixtures of polynomials [PDF]

open access: yesInt. J. Intell. Syst., 2014
Mixtures of polynomials (MoPs) are a non-parametric density estimation technique especially designed for hybrid Bayesian networks with continuous and discrete variables. Algorithms to learn one- and multi-dimensional (marginal) MoPs from data have recently been proposed.
Gherardo Varando   +4 more
openaire   +2 more sources

CONDITIONAL DENSITY MATRIX in the CONTEXT of NONCONTEXTUALITY [PDF]

open access: yesParticle Physics in Laboratory, Space and Universe, 2005
Conditional density matrix represents a quantum state of subsystem in different schemes of quantum communication. Here we discuss some properties of conditional density matrix and its place in general scheme of quantum mechanics.
Belokurov, V.   +3 more
openaire   +2 more sources

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Packet Inter-Reception Time Conditional Density Estimation Based on Surrounding Traffic Distribution

open access: yesIEEE Open Journal of Intelligent Transportation Systems, 2020
Cooperation is an enabler for autonomous vehicles. A promising application of cooperative driving is high-density platooning, where trucks drive with low inter-vehicle distances.
Guillaume Jornod   +2 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information

open access: yesEntropy, 2020
The problem of determining the best achievable performance of arbitrary lossless compression algorithms is examined, when correlated side information is available at both the encoder and decoder.
Lampros Gavalakis, Ioannis Kontoyiannis
doaj   +1 more source

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