Results 51 to 60 of about 35,395 (320)
Hidden Markov Models and their Application for Predicting Failure Events
, 2020 We show how Markov mixed membership models (MMMM) can be used to predict the degradation of assets. We model the degradation path of individual assets, to predict overall failure rates.
A Gelman +13 more
core +1 more source
Advanced Science, EarlyView.Using iPSC‐derived motoneurons and postmortem tissue from FUS‐ALS patients, it is demonstrated that increased mitochondrial transcription leads to elevated cytosolic double‐stranded RNA (dsRNA) levels. This aberrant accumulation activates a RIG‐I–dependent innate immune response leading to neurodegeneration, which is amenable for FDA‐ and EMA‐approved ...
Marcel Naumann +26 more
wiley +1 more source
Partially Observable Markov Decision Processes in Shared Autonomy Applications: A Survey
IEEE AccessShared autonomy consists of a collaborative effort between a human user and a robotic system having a shared goal, in which the human-controlled robot adapts its behaviour to provide assistive actions.
Shyrailym Shaldambayeva +4 more
doaj +1 more source
A sensor selection approach to maneuvering target tracking based on trajectory function of time
EURASIP Journal on Advances in Signal Processing, 2022 In this paper, we propose a computationally efficient sensor selection approach for maneuvering target tracking using a sensor network with communication bandwidth constraints, given limited prior information on the target maneuvering models.
Changyi Liu +3 more
doaj +1 more source
Unveiling Global Diversity of Patescibacteriota and Functional Interactions with Host Microbes
Advanced Science, EarlyView.Patescibacteriota represents a diverse group of ultra‐small epibiotic bacteria, which is largely overlooked. By integrating ribosomal protein S3‐based community profiling with MAG‐based metabolic potential analyses, this study provides new insights into their distribution, diversity, and potential interactions with other bacteria across diverse ...
Yanhan Ji +12 more
wiley +1 more source
Advanced Science, EarlyView.Integrated omics analysis of matched primary and liver metastatic NPC tumors reveals a unique NOTCH1+ CSC subpopulation exhibiting enhanced stemness properties and tumorigenic capacity. With in vitro and in vivo assays, exosomal transfer of tumor‐derived FTO from NOTCH1+ cells to the endothelium promotes vascular permeability and metastatic potential ...
Chun Wu +23 more
wiley +1 more source
Cognitive map formation under uncertainty via local prediction learning
Intelligent Systems with ApplicationsCognitive maps are internal world models that enable adaptive behaviour including spatial navigation and planning. The Cognitive Map Learner (CML) has been recently proposed as a model for cognitive map formation and planning.
Calvin Yeung +3 more
doaj +1 more source
Гібридні системи безпеки інформаційних та комунікаційних мереж [PDF]
Системи обробки інформації, 2017 У статті розглядаються два різних методи вирішення децентралізованого частково спостерігаємого процесу прийняття рішень Маркова (decentralized partially observable Markov decision process, DEC-POMDP).
Борисова Н.В. +1 more
doaj +1 more source
Probabilistic Majorization of Partially Observable Markov Decision Processes
, 2023 Markov Decision Processes (MDPs) are wielded by the Reinforcement Learning and control community as a framework to bestow artificial agents with the ability to make autonomous decisions. Control as Inference (CaI) is a tangent research direction that aims to recast optimal decision making as an instance of probabilistic inference, with the dual hope to
openaire +2 more sources
Belief State Planning for Autonomously Navigating Urban Intersections
, 2017 Urban intersections represent a complex environment for autonomous vehicles with many sources of uncertainty. The vehicle must plan in a stochastic environment with potentially rapid changes in driver behavior. Providing an efficient strategy to navigate
Bouton, Maxime +2 more
core +1 more source