Results 161 to 170 of about 237,731 (274)
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
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
Dual-targeted adversarial noise for 3D point cloud classification model. [PDF]
Lee T, Lee S, Kwon H.
europepmc +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
CCIW: Cover-Concealed Image Watermarking for Dual Protection of Privacy and Copyright. [PDF]
Li R, Wang S, Li M, Ren H.
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
FP-ZOO: Fast Patch-Based Zeroth Order Optimization for Black-Box Adversarial Attacks on Vision Models. [PDF]
Seo J, Jeon S.
europepmc +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Bearing Anomaly Detection Method Based on Multimodal Fusion and Self-Adversarial Learning. [PDF]
Liu H, Qin Y, Tu D.
europepmc +1 more source
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 +3 more
wiley +1 more source

