Results 61 to 70 of about 192,524 (234)

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Bounds on expected coupling times in Markov chains [PDF]

open access: yes, 2008
In the author’s paper “Coupling and Mixing Times in Markov Chains” (RLIMS, 11, 1- 22, 2007) it was shown that it is very difficult to find explicit expressions for the expected time to coupling in a general Markov chain. In this paper simple upper and
Hunter, Jeffrey J.
core  

Structure and eigenvalues of heat-bath Markov chains

open access: yes, 2014
We prove that heat-bath chains (which we define in a general setting) have no negative eigenvalues. Two applications of this result are presented: one to single-site heat-bath chains for spin systems and one to a heat-bath Markov chain for sampling ...
Dyer, Martin   +2 more
core   +1 more source

Exponential inequalities for nonstationary Markov chains

open access: yesDependence Modeling, 2019
Exponential inequalities are main tools in machine learning theory. To prove exponential inequalities for non i.i.d random variables allows to extend many learning techniques to these variables.
Alquier Pierre   +2 more
doaj   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

A Hybrid Markov and LSTM Model for Indoor Location Prediction

open access: yesIEEE Access, 2019
Accurate and robust indoor location prediction plays an important role in indoor location services. Markov chains (MCs) have been widely adopted for location prediction due to their strong interpretability. However, multi-order Markov chains (k -MCs) are
Peixiao Wang   +4 more
doaj   +1 more source

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

open access: yesThe Anatomical Record, EarlyView.
Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza   +5 more
wiley   +1 more source

An ontological morphological phylogenetic framework for living and extinct ray‐finned fishes (Actinopterygii)

open access: yesThe Anatomical Record, EarlyView.
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley   +1 more source

Application of Markov processes for analysis and control of aircraft maintainability

open access: yesНаучный вестник МГТУ ГА, 2020
The process of aircraft operation involves constant effects of various factors on its components leading to accidental or systematic changes in their technical condition.
Yu. M. Chinyuchin, A. S. Solov'ev
doaj   +1 more source

Single‐Cell RNA Sequencing Informs Precision Targeting of Monogenic Lupus Associated With IKZF1 Haploinsufficiency

open access: yesArthritis &Rheumatology, EarlyView.
Objective This study aimed to investigate the mechanisms of immune dysregulation in a pediatric patient with monogenic lupus driven by IKZF1 haploinsufficiency. Methods Peripheral immune cells from a patient with IKZF1 haploinsufficiency, patients with lupus with no currently known genetic mutations, and healthy controls were analyzed using single‐cell
Qi Zheng   +6 more
wiley   +1 more source

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