Results 91 to 100 of about 3,234,615 (293)
Smart Audio Sensors in the Internet of Things Edge for Anomaly Detection
Everyday objects are becoming smart enough to directly connect to other nearby and remote objects and systems. These objects increasingly interact with machine learning applications that perform feature extraction and model inference in the cloud ...
Mattia Antonini +4 more
doaj +1 more source
Associated Students of the University of Puget Sound Senate Minutes 2019-2020 [PDF]
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2019 - 04/2020.
Associated Students of the University of Puget Sound (ASUPS)
core
Pesticide MRLs as Trade Barriers: Evidence From Vietnam's Coffee and Rice Exporters
ABSTRACT As tariffs have declined globally through bilateral and regional trade agreements, food safety standards have emerged as significant determinants of agricultural trade flows. This study examines the impact of maximum residue limits (MRLs) for five pesticides—Azoxystrobin, Chlorpyrifos, Chlorantraniliprole, Clothianidin, and Cyhalothrin—on ...
Nhat Mai Nguyen +2 more
wiley +1 more source
ATA-MSTF-Net: An Audio Texture-Aware MultiSpectro-Temporal Attention Fusion Network
Unsupervised anomalous sound detection (ASD) models the normal sounds of machinery through classification operations, thereby identifying anomalies by quantifying deviations.
Yubo Su +5 more
doaj +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection
Submitted to EUSIPCO ...
Takuya Fujimura +2 more
openaire +3 more sources
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Associated Students of the University of Puget Sound (ASUPS) Senate Minutes 2016-0217 [PDF]
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2016 - 05/2017.
Associated Students of the University of Puget Sound (ASUPS)
core
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source

