Application of Generative Adversarial Networks to Improve COVID-19 Classification on Ultrasound Images. [PDF]
Silva PSTF +4 more
europepmc +1 more source
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri +8 more
wiley +1 more source
Unsupervised quality assessment with generative adversarial networks for 3D OCTA microvascular imaging. [PDF]
Sumpena E +9 more
europepmc +1 more source
Optimized Generative Adversarial Networks for Adversarial Sample Generation
Daniyal M. Alghazzawi +2 more
openaire +1 more source
ABSTRACT In the context of Europeanisation and neo‐corporatism, we examine the lengthy process of revising the Nondiscrimination Act in Finland, spanning from 2007 to 2023. The focus is on the mandate of the Nondiscrimination Ombudsman in the workplace and on explaining the sudden policy change of strengthening it after a prolonged standstill.
Laura Jauhola, Kati Rantala
wiley +1 more source
On the Applicability of the Advocacy Coalition Framework for Analyzing EU Policy Processes
ABSTRACT Initially developed for the US context, the Advocacy Coalition Framework (ACF) is increasingly used to analyze policy processes in the EU. But policymaking in EU differs from the US context, why the applicability of ACF in the EU context should be scrutinized.
Fredrik von Malmborg
wiley +1 more source
Conditional noise generative adversarial networks with Siamese neural network for longer time series forecasting. [PDF]
Mao H, Feng X.
europepmc +1 more source
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
Multiscale attention generative adversarial networks for lesion synthesis in chest X-ray images. [PDF]
Alam MS, Meijering E, Wang D, Sowmya A.
europepmc +1 more source
Anomaly detection in particulate matter sensor using hypothesis pruning generative adversarial network [PDF]
YeongHyeon Park +2 more
openalex +1 more source

