Results 211 to 220 of about 25,829 (292)

Collective Grievance Promotes Collective Action and Aggressive Intergroup Inclinations Through Dehumanization Among Conservative Members of Dominant Groups

open access: yesEuropean Journal of Social Psychology, EarlyView.
ABSTRACT Previous research has focused on disadvantaged groups seeking social change, overlooking how dominant groups mobilize to preserve the status quo. Across three studies (two correlational, one experimental), we explored how collective grievance—the feeling of being or having been collectively wronged by an outgroup—drives system‐preserving ...
Beatriz Alba, Alexandra Vázquez
wiley   +1 more source

Understanding Adversarial Robustness in Deep Learning

open access: yes
This thesis studies the adversarial robustness of deep learning models. Our investigation covers various aspects of this phenomenon, including the development of two new defense algorithms, two new attack algorithms, a novel definition of hierarchical ...
Ma, Bojie
core  

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

open access: yesEpilepsia, EarlyView.
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

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
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

Application of GAN–CNN in Risk Assessment of Pipeline Failures in Multiphase Pipeline With Image Information Encoding Approach

open access: yesEnergy Science &Engineering, EarlyView.
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley   +1 more source

Adversarial robustness improvement for X-ray bone segmentation using synthetic data created from computed tomography scans. [PDF]

open access: yesSci Rep
Fok WYR   +7 more
europepmc   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

open access: yesEnergy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali   +6 more
wiley   +1 more source

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