Results 51 to 60 of about 103,221 (295)
Analysis of Timed and Long-Run Objectives for Markov Automata [PDF]
Markov automata (MAs) extend labelled transition systems with random delays and probabilistic branching. Action-labelled transitions are instantaneous and yield a distribution over states, whereas timed transitions impose a random delay governed by an ...
Dennis Guck +4 more
doaj +1 more source
Gear flank changes caused by wear do not only affect the dynamic behavior of gear systems, but they can also compromise the load-carrying capacity of gear teeth up to critical failure.
Stefan Sendlbeck +4 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Fast and Compact Distributed Verification and Self-Stabilization of a DFS Tree [PDF]
We present algorithms for distributed verification and silent-stabilization of a DFS(Depth First Search) spanning tree of a connected network. Computing and maintaining such a DFS tree is an important task, e.g., for constructing efficient routing ...
A. Cournier +22 more
core +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Dependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, are easy to implement, but ...
Ferdinando Chiacchio +4 more
doaj +1 more source
Rich Interfaces for Dependability: Compositional Methods for Dynamic Fault Trees and Arcade models [PDF]
This paper discusses two behavioural interfaces for reliability analysis: dynamic fault trees, which model the system reliability in terms of the reliability of its components and Arcade, which models the system reliability at an architectural level. For
Boudali, Hichem +4 more
core +2 more sources
Fault isolation procedure analysis method based on dynamic fault tree
The traditional fault isolation program uses the conventional static fault tree for fault analysis,which may lead to incomplete fault cause analysis,too cumbersome fault isolation path and other problems. A method of fault isolation program analysis based on system principle and dynamic fault tree is proposed. Taking the fault of the bleed air overheat
KE Qianyun, TU Zhiqi, LIU Yaqi
openaire +1 more source
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source
Fault tree (FT) is a standardized notation for representing relationships between a system's reliability and the faults and/or the events associated with it.
Marwan Ammar +3 more
doaj +1 more source

