Results 51 to 60 of about 575,581 (334)
Nonlinear Markov Processes in Big Networks
, 2016 Big networks express various large-scale networks in many practical areas such as computer networks, internet of things, cloud computation, manufacturing systems, transportation networks, and healthcare systems. This paper analyzes such big networks, and
Li, Quan-Lin
core +2 more sources
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Exit spaces for Cox processes and the P\'olya sum process [PDF]
, 2013 For Cox processes we construct a Markov process with increasing paths to couple the condensations of the Cox process in a monotone way. A similar procedure procedure yields an analogue Markov process for the P\'olya sum process. Moreover, we identify the
Rafler, Mathias
core
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Networks and Heterogeneous Media, 2023 We consider a growing population of individuals with binary opinions, namely, 0 or 1, that evolve in discrete time. The underlying interaction network is complete. At every time step, a fixed number of individuals are added to the population. The opinion
Sharayu Moharir +2 more
doaj +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Geosciences, 2019 Local scour is a dynamic process evolving during the lifetime of bridges as a result of the changes in hydrologic and hydraulic conditions. Current approaches for scour risk assessment are generally based on the evaluation of the equilibrium scour depth ...
Alonso Pizarro, Enrico Tubaldi
doaj +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
Mathematical Biosciences and EngineeringIn this study, we developed a dynamical Multi-Local-Worlds (MLW) complex adaptive system with co-evolution of agent's behavior and local topological configuration to predict whether agents' behavior would converge to a certain invariable distribution and
Hebing Zhang, Xiaojing Zheng
doaj +1 more source
, 2007 The purpose of this comment is to correct mistaken assumptions and claims made in the paper Stochastic feedback, nonlinear families of Markov processes, and nonlinear Fokker-Planck equations by T. D. Frank.
Arnold +12 more
core +1 more source