Results 171 to 180 of about 5,739,313 (302)

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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, Araz Rajabi‐Abhari, Owen Gibbs, Pengcheng Xi, Asif Abdullah Khan, Fangzheng Huang, Md Soyaeb Hassan, Ning Yan, Dayan Ban   +8 more
wiley   +1 more source

Improving microvascular brain analysis with adversarial learning for OCT-TPM vascular domain translation. [PDF]

Sci Rep
Badawi N, Rustamov J, Rustamov Z, Lesage F, Zaki N, Damseh R.   +5 more
europepmc   +1 more source

Deep Domain Adversarial Learning for Species-Agnostic Classification of Histologic Subtypes of Osteosarcoma. [PDF]

Am J Pathol, 2023
Patkar S, Beck J, Harmon S, Mazcko C, Turkbey B, Choyke P, Brown GT, LeBlanc A.   +7 more
europepmc   +1 more source

On the Applicability of the Advocacy Coalition Framework for Analyzing EU Policy Processes

European Policy Analysis, EarlyView.
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

Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning. [PDF]

Sensors (Basel)
Geng G, Zhou S, Tang J, Zhang X, Liu Q, Yuan D.   +5 more
europepmc   +1 more source

Lesion segmentation in lung CT scans using unsupervised adversarial learning. [PDF]

Med Biol Eng Comput, 2022
Sherwani MK, Marzullo A, De Momi E, Calimeri F.   +3 more
europepmc   +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

Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning. [PDF]

Nat Commun
Yan C, Zhang Y, Feng J, Hua H, Ruan Z, Li Z, Li S, Yan C, Li P, Liu J, Chen S.   +10 more
europepmc   +1 more source

scAEGAN: Unification of single-cell genomics data by adversarial learning of latent space correspondences. [PDF]

PLoS One, 2023
Khan SA, Lehmann R, Martinez-de-Morentin X, Maillo A, Lagani V, Kiani NA, Gomez-Cabrero D, Tegner J.   +7 more
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source