A Review of Adversarial Example Detection in IoT Sensor Networks: Methods, Evaluation, and Edge Deployment Constraints. [PDF]
Xu W, Li J.
europepmc +1 more source
ABSTRACT Since the 1990s, environmental policy has shifted toward ecosystem protection and biodiversity conservation, a development often described as an ecological turn. This article argues that in practice this turn has taken the form of an ecological “U‐turn,” as environmental ambitions are subordinated to production‐oriented objectives.
Gisle Andersen +2 more
wiley +1 more source
Liquid neural networks for adaptive DDoS detection in IoT and SDN environments. [PDF]
Raza M, Sattar MA, Jahangir Z, Billah M.
europepmc +1 more source
The Role of Trade Unions in Environmental Governance: Exploring Workers Legitimacy Judgments
ABSTRACT Trade unions are increasingly expected to play a role in sustainability transitions, but their legitimacy as environmental governance actors remains underexplored. Our study uses a multidimensional framework to examine how workers, both union members and non‐members, evaluate trade union legitimacy “from below.” This framework distinguishes ...
Urša Golob +2 more
wiley +1 more source
GA2AD: a generalized adaptive adversarial training framework considering surrounding hybrid risk field for autonomous driving. [PDF]
Xu H +7 more
europepmc +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
A Hybrid Deep Autoencoders and Random Forest Framework for False Data Injection Attack Detection in Industrial Internet of Things Networks. [PDF]
Albarrak AM +3 more
europepmc +1 more source
Meta-IDS-GAN: Utilizing Meta Learning to Enhance GAN-based Adversarial Traffic Generation
This thesis proposes Meta-IDS-GAN, a novel adversarial attack framework that combines Generative Adversarial Networks (GAN) with Model-Agnostic Meta-Learning (MAML) to generate highly transferable and statistically realistic adversarial network traffic ...
Xu, Yufeng
core
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
A curriculum-guided unified framework for robust unsupervised domain adaptation on multi-cohort Parkinson's disease diagnosis. [PDF]
Shen Y +5 more
europepmc +1 more source

