Results 41 to 50 of about 213 (131)
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
In this paper, a modified cross-diffusion Leslie–Gower predator–prey model with the Beddington–DeAngelis functional response is studied. We use the linear stability analysis on constant steady states to obtain sufficient conditions for the occurrence of ...
Marzieh Farshid, Yaghoub Jalilian
doaj +1 more source
Turing bifurcation in nonlinear competition models with delay [PDF]
Turing instability in reaction-diffusion and predator-prey models including diffusion and Volterra-type distributed delays in the interspecies interaction terms is considered. For general functional forms of the reaction terms/prey birth rate-predator death rate, and delays modeled by the “weak” generic kernel
Choudhury, S. Roy, Fosser, C.
openaire +2 more sources
The Role of Inducible Defence in Ecological Models: Effects of Nonlocal Intraspecific Competition
ABSTRACT Phenotypic plasticity significantly influences species interactions, especially via inducible defensive mechanisms in predator–prey dynamics. This work proposes and explores a predator–prey scenario whereby the prey species demonstrates inducible defence mechanisms against predators.
Sangeeta Saha +2 more
wiley +1 more source
In this paper, we aim to solve the issue of pattern formation mechanisms in a spatiotemporally discrete activator–inhibitor model that incorporates self- and cross-diffusions.
You Li +4 more
doaj +1 more source
Quantifying the Uncertainty of Molecular Dynamics Simulations: Good–Turing Statistics Revisited
A method and associated computer program are described that allow the estimation of the remaining structural uncertainty of a molecular dynamics trajectory. ABSTRACT We have previously shown that Good–Turing statistics can be applied to molecular dynamics trajectories to estimate the probability of observing completely new (thus‐far unobserved ...
Vasiliki Tsampazi, Nicholas M. Glykos
wiley +1 more source
In this paper, we consider a modified predator–prey model with Michaelis–Menten-type predator harvesting and diffusion term. We give sufficient conditions to ensure that the coexisting equilibrium is asymptotically stable by analyzing the distribution of
Qiannan Song +3 more
doaj +1 more source
Size‐Modulated Mesoderm‐Endoderm Divergence and Myocardial Cavitation in Micropatterned Cardioids
Micropatterned cardioids, CRISPR‐engineered reporter hiPSCs, deep‐tissue imaging, and single‐cell RNA sequencing are integrated to model mesoderm‐endoderm co‐development. Heart‐foregut crosstalk promotes single large cavitation inside cardioids, resembling early heart chamber formation. ABSTRACT The human heart, originating from the splanchnic mesoderm,
Plansky Hoang +12 more
wiley +1 more source
It is well known that integer-order neural networks with diffusion have rich spatial and temporal dynamical behaviors, including Turing pattern and Hopf bifurcation.
Jiazhe Lin, Jiapeng Li, Rui Xu
doaj +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source

