Results 61 to 70 of about 3,234,615 (293)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Self-Supervised Anomaly Detection for Industrial Machines With Sensor Distance Classification

IEEE Access
The rise of low-power, affordable sensing technologies and machine learning algorithms has sparked a growing interest in using data-driven approaches to monitor industrial assets. In particular, applying machine learning to analyze the sounds produced by
Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii   +3 more
doaj   +1 more source

Associated Students of the University of Puget Sound Senate Minutes 2003-2004 [PDF]

, 2003
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2003 - 04/2004.
Associated Students of the University of Puget Sound (ASUPS)
core  

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Visual Feature Domain Audio Coding for Anomaly Sound Detection Application

Algorithms
Conventional audio and video codecs are designed for human perception, often discarding subtle spectral cues that are essential for machine-based analysis. To overcome this limitation, we propose a machine-oriented compression framework that reinterprets
Subin Byun, Jeongil Seo
doaj   +1 more source

Anomalous Sound Detection Using Deep Audio Representation and a BLSTM Network for Audio Surveillance of Roads

IEEE Access, 2018
Surveillance systems based on image analysis can automatically detect road accidents to ensure a quick intervention by rescue teams. However, in some situations, the visual information is insufficiently reliable, whereas the use of a sound detector can ...
Yanxiong Li, Xianku Li, Yuhan Zhang, Mingle Liu, Wucheng Wang   +4 more
doaj   +1 more source

Associated Students of the University of Puget Sound Senate Minutes 1990-1991 [PDF]

, 1990
Meeting minutes of the Associated Students of the University of Puget Sound from 09/1990 - 05/1991.
Associated Students of the University of Puget Sound,
core  

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

A hybrid framework for classifying and detecting aircraft cabin anomalous sounds under heavy background noise

Results in Engineering
Anomalous sounds produced in an aircraft cabin are early warnings of potential safety hazards, yet they are hard to label and detect when masked by heavy background noise. A two-stage hybrid framework is introduced to tackle both challenges. In the first
Jiaan Chen, Tian Gan, Chenyi Zhao, Huayong Zhao, Ci Song, Xiaole Wang, Zhenyu Huang   +6 more
doaj   +1 more source

Associated Students of the University of Puget Sound Senate Minutes 1993-1994 [PDF]

, 1993
Meeting minutes of the Associated Students of the University of Puget Sound from 09/1993 - 05/1994.
Associated Students of the University of Puget Sound,
core