Results 111 to 120 of about 68,126 (238)
Steering semi-flexible molecular diffusion model for structure-based drug design with reinforcement learning. [PDF]
Zhang X +10 more
europepmc +1 more source
Neural barcoding representing cortical spatiotemporal dynamics based on continuous-time Markov chains. [PDF]
Culp JM +5 more
europepmc +1 more source
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti +2 more
wiley +1 more source
Dynamic community detection using class preserving time series generation with Fourier Markov diffusion. [PDF]
Ma Y, Qu D, Wang Y.
europepmc +1 more source
ABSTRACT Rett syndrome is a neurodevelopmental disorder caused by an X‐linked mutation of the MeCP2 gene. Individuals with Rett syndrome, as well as rodent models of this disorder, demonstrate abnormal cortical responses to sound, which impair auditory discrimination ability.
Isabella K. Myers +6 more
wiley +1 more source
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
Stochastic modelling of delays and buffering in 5G-IoT ecosystems with programmable P4 switches based on BMAP. [PDF]
Kovtun V +3 more
europepmc +1 more source
On MAP Estimates and Source Conditions for Drift Identification in SDEs
ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck +3 more
wiley +1 more source
An Explainable Markov Chain-Machine Learning Sequential-Aware Anomaly Detection Framework for Industrial IoT Systems Based on OPC UA. [PDF]
Ghazi Y, Tabaa M, Ennaji M, Zaz G.
europepmc +1 more source
Abstract Flag leaf morphology (FLM) is a critical determinant of wheat (Triticum aestivum L.) photosynthetic efficiency and grain yield. Chinese endemic wheat, a unique genetic reservoir formed by long‐term adaptation to diverse and heterogeneous environments in China, harbors abundant, untapped allelic variation for traits related to environmental ...
Md Nahibuzzaman Lohani +12 more
wiley +1 more source

