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
CottonNet-MHA: a multi-head attention-based deep learning framework for cotton disease detection. [PDF]
Hassan MMM +6 more
europepmc +1 more source
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley +1 more source
Atomic Interaction-Based Prediction of Phase Formations in High-Entropy Alloys. [PDF]
Islam MT +4 more
europepmc +1 more source
South Asian Employees' Experiences of Imposter Phenomenon
ABSTRACT Imposter phenomenon (IP), a lack of self‐belief in one's competence, is recognised as a barrier to career progression. This study explores workplace experiences of IP among ethnic minority South Asian employees in the UK, including perceived drivers and impacts.
Harki Ranautta +3 more
wiley +1 more source
Unveiling the Multifaceted Nature of Spirituality: Assessing the Dimensions of the Spirituality Inventory in the Turkish Context-A Preliminary Adaptation and Validity Reliability Study. [PDF]
Ekşi H +5 more
europepmc +1 more source
The struggle of Freemasonry and Islamic ideology in the twentieth century during colonialization in Indonesia. [PDF]
Thohir A +4 more
europepmc +1 more source
Understanding cell‐penetrating peptide mechanisms using computational electrophysiology simulations
Abstract Cell‐penetrating peptides (CPPs) can enter cells without inducing cytotoxicity and can be coupled with cargo molecules to be used to deliver drugs, DNA, or nanoparticles into cells. The peptide‐membrane interactions driving the internalization mechanism are not completely understood. In this study, we introduce Computational Electrophysiology (
Eric Catalina‐Hernandez +3 more
wiley +1 more source
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry +2 more
wiley +1 more source
Face Value: Beauty, Punishment, and the Moral Politics of Appearance. [PDF]
Hartung F +3 more
europepmc +1 more source

