Results 51 to 60 of about 1,639,808 (340)
Robust passivity and passification of stochastic fuzzy time-delay systems
The official published version can be obtained from the link below.In this paper, the passivity and passification problems are investigated for a class of uncertain stochastic fuzzy systems with time-varying delays.
Zidong Wang +5 more
core +1 more source
On the Stochastic Dynamics of a Social Epidemics Model
Alcohol abuse is a major social problem, which has caused a lot of damages or hidden dangers to the individual and the society. In this paper, with random factors of alcoholism considered in mortality rate of compartment populations, we formulate a ...
Xun-Yang Wang +2 more
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Community assembly processes are complex and understanding them represents a challenge in microbial ecology. Here, we used Lascaux Cave as a stable, confined environment to quantify the importance of stochastic vs deterministic processes during microbial
Zélia Bontemps +2 more
doaj +1 more source
Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays
This paper investigates the mean square exponential stability problem of a class of complex-valued neural networks with stochastic disturbance and mixed delays including both time-varying delays and continuously distributed delays.
Xiaohui Xu, Jibin Yang, Yanhai Xu
doaj +1 more source
A lattice grain model of hillslope evolution [PDF]
This paper describes and explores a new continuous-time stochastic cellular automaton model of hillslope evolution. The Grain Hill model provides a computational framework with which to study slope forms that arise from stochastic disturbance and rock
G. E. Tucker +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Copyright @ 2011 Elsevier B.V. This is the author’s version of a work that was accepted for publication in Systems and Control Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Zidong Wang +7 more
core +1 more source
Disturbance-level-dependent post-disturbance succession in a Eurasian steppe
Anthropogenic disturbances may decrease as we take measures to control them. However, the patterns and mechanisms of post-disturbance ecosystem succession have rarely been studied.
Wang, Zhiping +8 more
core +1 more source
This paper studies consensus disturbance rejection problem of discrete-time multi-agent systems with communication noises. The involved agents are modeled by linear dynamics with disturbance, and are assumed to receive information corrupted by additive ...
Yuanyuan Jia, Jingjing Wang, Jiaman Bo
doaj +1 more source

