Results 41 to 50 of about 1,132,463 (302)
Advanced Materials, EarlyView.Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo +7 more
wiley +1 more source
Adversarial Risk Análysis for Counterterrorism Modelling [PDF]
, 2013 Recent large scale terrorist attacks have raised interest in models for resource allocation against terrorist threats. The unifying theme in this area is the need to develop methods for the analysis of allocation decisions when risks stem from the ...
Ríos, Jesús, Ríos Insúa, David
core
Advanced Materials Technologies, EarlyView.The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Generative Adversarial Networks and Its Applications in Biomedical Informatics
Frontiers in Public Health, 2020 The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn
Lan Lan +7 more
doaj +1 more source
Generation of Belle II Pixel Detector Background Data with a GAN [PDF]
EPJ Web of Conferences, 2020 To match the statistical precision due to the large dataset that Belle II is expected to collect, simulations that accurately describe real data are required.
Srebre Matej +4 more
doaj +1 more source
Adversarial Thresholding Semi-Bandits [PDF]
, 2020 The classical multi-armed bandit is one of the most common examples of sequential decision-making, either by trading-off between exploiting and exploring arms to maximise some payoff or purely exploring arms until the optimal arm is identified.
Bower, Craig
core
On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
O OBOWIĄZYWANIU ZASADY KONTRADYKTORYJNOŚCI W POSTĘPOWANIU NIEPROCESOWYM: PRZYCZYNEK DO DYSKUSJI
Zeszyty Prawnicze, 2016 The Adversarial Principle in Non-litigious Proceedings: a Contribution to the Discussion Summary The adversarial principle has been applicable in Polish non-litigious proceedings since 1964, when the provisions for litigious and non-litigious ...
Joanna Misztal-Konecka
doaj +1 more source
Effective Dynamics of Generative Adversarial Networks
Physical Review X, 2023 Generative adversarial networks (GANs) are a class of machine-learning models that use adversarial training to generate new samples with the same (potentially very complex) statistics as the training samples.
Steven Durr +3 more
doaj +1 more source
Implementation of the principle of justice in the adversarial model of criminal procedure
LAPLAGE EM REVISTA, 2021 For a correct understanding of the content of justice, it is necessary to determine, what is it in an adversarial model of the process – a principle, a task, general conditions of judicial consideration of a criminal case, moral requirements for procedural decisions of a judge (judges) or a participant’s right guaranteed by a public hearing of a case ...
Eldar K. Kutuev +4 more
openaire +2 more sources