Results 81 to 90 of about 2,583,540 (350)
Advanced Science, EarlyView.This work introduces a novel photonic Bayesian neural network architecture that utilizes tunable photonic random number generators to independently control weight distribution parameters, significantly improving robustness, scalability, and accuracy while demonstrating practical applications in multimodal data processing and uncertainty‐aware computing.
Yangyang Zhuge +9 more
wiley +1 more source
Concentration optimization of combinatorial drugs using Markov chain-based models
BMC Bioinformatics, 2021 Background Combinatorial drug therapy for complex diseases, such as HSV infection and cancers, has a more significant efficacy than single-drug treatment.
Shuang Ma +4 more
doaj +1 more source
Remote Sensing, 2015 In this study, urban growth of the Atakum District in Samsun, Turkey, was simulated by Cellular Automata-Markov Chain (CA-MC) and Multi-layer Perceptron-Markov Chain (MLP-MC) hybrid models in a geographical information system (GIS) environment ...
D. Ozturk
semanticscholar +1 more source
Advanced Science, EarlyView.During different developmental stages of plants in natural Se–Cd coexisting soils, there is a group of rhizosphere microorganisms with highly dynamic abundance. The abundance variation of these microorganisms is strongly positively correlated with available Se and strongly negatively correlated with available Cd.
Zheng Lei +16 more
wiley +1 more source
Markov Chain Approximations to Singular Stable-like Processes [PDF]
arXiv, 2012 We consider the Markov chain approximations for singular stable-like processes. First we obtain properties of some Markov chains. Then we construct the approximating Markov chains and give a necessary condition for weak convergence of these chains to singular stable-like processes.
arxiv
Advanced Science, EarlyView.Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li +5 more
wiley +1 more source
Graphs: Associated Markov Chains [PDF]
arXiv, 2012 In this research paper, weighted / unweighted, directed / undirected graphs are associated with interesting Discrete Time Markov Chains (DTMCs) as well as Continuous Time Markov Chains (CTMCs). The equilibrium / transient behaviour of such Markov chains is studied.
arxiv
Deterministic chaos for Markov chains [PDF]
arXiv, 2020 We find that Markov chains with finite state space are Poincare chaotic. Moreover, finite realizations of the chains are arcs of each unpredictable orbit for sure. An illustrating example with a proper numerical simulation is provided.
arxiv
Advancements in Machine Learning for Microrobotics in Biomedicine
Advanced Intelligent Systems, EarlyView.Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi +6 more
wiley +1 more source