Results 191 to 200 of about 5,561,446 (302)

Dialectal substitution as an adversarial approach for evaluating Arabic NLP robustness. [PDF]

Sci Rep
Alshemali B.
europepmc   +1 more source

Framing Effects on Public Support and Behavioral Responses to Sustainable Forest Management in South Korea

Environmental Policy and Governance, EarlyView.
ABSTRACT Despite South Korea's extensive forest coverage, which accounts for approximately 63% of its total land area, the country imports over 83% of its timber needs and has shown a gradual decline in forest carbon sequestration capacity. The Circular Forest Management Policy (CFMP) addresses these challenges through systematic forest resource ...
Seoryeon Son, Yoonseo Bae, Gayoung Won, Hee Han, Minki Yeo   +4 more
wiley   +1 more source

Enhancing adversarial resilience in semantic caching for secure retrieval augmented generation systems. [PDF]

Sci Rep
Afiffy M, Fakhr MW, Maghraby FA.
europepmc   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, 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, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

FP-ZOO: Fast Patch-Based Zeroth Order Optimization for Black-Box Adversarial Attacks on Vision Models. [PDF]

Sensors (Basel)
Seo J, Jeon S.
europepmc   +1 more source

Low Uncertainty Adversarial Examples

Neural networks are vulnerable to adversarial attacks. Adversarial samples are samples that have a small perturbation compared to the original input they were create from, but are misclassified by the attacked neural network. In the case of images, adversarial examples are generally indistinguishable from the original image by human perception.
openaire   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia 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, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Life as Counterfactual Geometry: An Adversarial Theory of Biological Function. [PDF]

Entropy (Basel)
Buzea CG, Nedeff F, Mirilă D, Nedeff V, Agop M, Ochiuz L, Dobreci L, Vasincu D.   +7 more
europepmc   +1 more source

Adversarial Examples

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
openaire   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source