Results 81 to 90 of about 103,535 (312)

A Generalization of Markov Processes

The Annals of Probability, 1978
Osterwalder-Schrader (OS) positive symmetric stationary stochastic processes are discussed. A natural construction is given for the associated positive semigroup structure. Conversely, OS-positive symmetric stationary stochastic processes are constructed from positive semigroup structures. OS-positive processes are seen to be the natural generalization
openaire   +2 more sources

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

Stability estimation of some Markov controlled processes

Open Mathematics, 2022
We consider a discrete-time Markov controlled process endowed with the expected total discounted reward. We assume that the distribution of the underlying random vectors is unknown and that it is approximated by an appropriate known distribution.
Gordienko Evgueni, Chavez Juan Ruiz de
doaj   +1 more source

Excursions of a Markov Process

The Annals of Probability, 1979
The excursion straddling $t$ and the first excursion exceeding $u$ in length of a Markov process are compared in a general setting. These results are then specialized to the excursions from a point, and to specific processes. The main tool is the general theory of excursions as developed by Maisonneuve and others.
openaire   +2 more sources

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

Advanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li, Qizhe Zhang, Hanchen Chen, Kepeng Lin, Chengfang Luo, Mengying Yang, Wei Xu, Fan Yao, Jianbing Yan, Qing‐Yong Yang, Xuehai Hu   +10 more
wiley   +1 more source

A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target Tracking

Advances in Electrical and Computer Engineering, 2017
In this paper, the state estimation problem for discrete-time jump Markov systems is considered. A minimax filtering technique, interacting multiple model algorithm based on game theory, is developed for discrete-time stochastic systems.
GHAZAL, M., DOUSTMOHAMMADI, A.
doaj   +1 more source

Efficient Policies for Environmental Protection: An Econometric Analysis of Incentives for Land Conversion and Retention

Journal of Agricultural and Resource Economics, 2002
This study investigates the costs of subsidies for land retention and conversion, in addition to a policy that combines the incentives. A Markov model of forest and agricultural land use is estimated for the U.S. South Central region and used to simulate
Andrew J. Plantinga, Soeun Ahn
doaj   +1 more source

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

Advanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo, Jinhong Min, Geumbee Lee, Joohoon Kang, Hyoyoung Jeong, Jae‐Young Yoo, Sang Min Won   +9 more
wiley   +1 more source

APPLICATION OF MARKOV PROCESSES AS EFFICIENT INSTRUMENT FOR MAN-AGEMENT DECISION MAKING ON THE BASIS OF ENTERPRISE BUSINESS MODEL-ING

Вестник Донского государственного технического университета, 2018
The issues concerning the potential application of Markov processes theory for efficient management decision making based on the production enterprise business modeling are considered.
Evgeniya R. Khabibullina
doaj  

Unsupervised SAR image segmentation based on kernel TMFs with belief propagation

The Journal of Engineering, 2019
The triplet Markov field (TMF) model has achieved promising results in synthetic aperture radar (SAR) image segmentation. Focusing on the simple likelihood modelling of an SAR image and the effective optimisation of the TMF model, an unsupervised SAR ...
Lu Gan, Xiaoming Liu, Ziwei Li
doaj   +1 more source