Results 231 to 240 of about 28,454 (287)

NIDS-β*: an explainable large language based framework for contextual intrusion resilience in network security. [PDF]

Front Artif Intell
Saidi F.
europepmc   +1 more source

When Policy Is the Hazard: Institutional Legitimacy and Climate Risk Attribution Among Farmers in Water Stressed California

Environmental Policy and Governance, EarlyView.
ABSTRACT This study examines how farmers perceive and respond to climate policy risk in the context of drought and argues that understanding such responses is as important as understanding farmer reactions to the biophysical impacts of climate change.
M. Anne Visser, Jordan Pantano, Grace Kumetat, Julia Marhenke   +3 more
wiley   +1 more source

Blockchain-driven smart contract with key exchange protocol for secure device-to-device communication using verkle tree K-ary structures. [PDF]

Sci Rep
Simbu A, Nandakumar S, Saravanan K.
europepmc   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

ESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori, Shingo Fukuma, Kyohei Yamaji, Atsushi Mizuno, Naoki Kondo, Kosuke Inoue   +5 more
wiley   +1 more source

Supervised machine learning intrusion detection review and multi-criteria evaluation. [PDF]

Sci Rep
Abu-Shareha AA, Abualhaj MM, Hussein A, Almomani O, Amer A, Achuthan A.   +5 more
europepmc   +1 more source

Enabling Ultrastable Microbubbles With Graphene Aerogel Enrichment and Machine Learning for Highly Efficient Carbon Storage

Electron, EarlyView.
This study aims to introduce a novel‐designed structure of the colloidal aphron microbubbles reinforced by incorporating hydrophobic aerographene microparticles onto the hydrophobic outer shell. This results in the formation of a robust composite film and armored microbubble that offers exceptional ultrastability under elevated pressures of up to 400 ...
Mohammad Hossein Akhlaghi, Malek Naderi, Ali Pilehvar Meibody, Shurui Yang, Mojtaba Abdi‐Jalebi   +4 more
wiley   +1 more source

Robust detection framework for adversarial threats in Autonomous Vehicle Platooning. [PDF]

Front Big Data
Ness S.
europepmc   +1 more source

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG

Epileptic Disorders, EarlyView.
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu, Hüseyin Öztoprak, Özlem Yayıcı Köken, Hatice Demir, Mehpare Sarı Yanartaş, Deniz Yılmaz, Burçin Şanlıdağ, Ayşegül Neşe Çıtak Kurt   +7 more
wiley   +1 more source

An Outbreak of Dermatitis Caused by <i>Redoa leucoscela</i> Larvae in A Scenic Area - Tongren City, Guizhou Province, China, July-August 2024. [PDF]

China CDC Wkly
Xiao M, Ren D, Ning L, Yang Q, Fei T.
europepmc   +1 more source

Ranking of antiseizure medications in a panel of focal seizure models predicts their comparative efficacy in clinical add‐on trials in drug‐resistant focal epilepsy

Epilepsia, EarlyView.
Abstract Objective Most antiseizure medications (ASMs) have been discovered by testing in animal models, which are generally thought to predict antiseizure activity in patients. However, it is not known whether any of these models (or a combination of models) can predict whether a novel ASM exhibits higher clinical efficacy in focal drug‐resistant ...
Wolfgang Löscher, Pavel Klein
wiley   +1 more source