Results 91 to 100 of about 8,343 (215)

SED-NET: Real-Time Suspicious Event Detection via Deep Learning-Based Di-Stream Neural Network

International Journal of Computational Intelligence Systems
Suspicious event detection (SED) identifies anomalous activities in surveillance data using computer vision and machine learning techniques. However, existing approaches have high false positive rates difficulty distinguishing suspicious from normal ...
D. Siva Senthil, T. S. Sivarani
doaj   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source

An Improved Change Detection Method for Time-Series Soil Moisture Retrieval in Semi-Arid Area

Remote Sensing
Although surface soil moisture (SSM) is particularly important in crop yield prediction, irrigation scheduling optimization, and runoff generation mechanisms, accurate monitoring of time-series SSM is still challenging for agricultural and hydrological ...
Jing Zhang, Liangliang Tao
doaj   +1 more source

How Proton Incorporation Reshapes Lattice Dynamics In BaSnO3‐Type Proton Conductors

Advanced Science, EarlyView.
Yttrium‐doped BaSnO3 exhibits isotope‐dependent changes in its low‐energy vibrational density of states upon hydration. Comparison of dry, H2O‐, and D2O‐treated samples re‐veals mass‐dependent phonon renormalization linked to proton dynamics near oxygen va‐cancies, providing experimental insight into hydrogen‐coupled lattice excitations in proton ...
Artur Braun, Alexey Rulev, Nobumoto Nagasawa, Hongxin Wang, Tatyana Bendikov, Vladimir Pomjakushin, Martin Kunz, Yoshitaka Yoda, Qianli Chen, Stephen P. Cramer   +9 more
wiley   +1 more source

Multiscale Fractal-Dimension-Constrained Coherent Phase Processing of Seismic-While-Tunneling Signals for Fault Prediction

Fractal and Fractional
Seismic-while-tunneling signals acquired during coal-mine excavation are typically characterized by strong nonstationarity, intense mechanical noise, weak reflection responses, unstable inter-trace phases, and complex waveform fluctuations.
Qi Guan, Qianzong Bao, Xuefei Wu, Chao Chen, Huicong Xu   +4 more
doaj   +1 more source

Principal component analysis and singular spectrum analysis of ULF geomagnetic data associated with earthquakes [PDF]

Natural Hazards and Earth System Sciences, 2005
In order to extract any ULF signature associated with earthquakes, the principal component analysis (PCA) and singular spectral analysis (SSA) have been performed to investigate the possibility of discrimination of signals from different sources ...
A. Serita, A. Serita, K. Hattori, C. Yoshino, M. Hayakawa, N. Isezaki   +5 more
doaj  

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

SWIFT: Spectral Wavelet Integrated Fault Transformer for Wind Turbine Anomaly Detection

IEEE Access
Offshore wind turbine (OWT) condition monitoring is a critical challenge as wind fleets scale, driven by the high cost of maintenance, harsh marine environments, and the complex, non-stationary nature of turbine data.
David S. Yin, Jing Gao
doaj   +1 more source

An exciting Approach to Theoretical Spectroscopy

Advanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno, Alexander Buccheri, Noah Alexy Dasch, Nasrin Farahani, Ignacio Gonzalez Oliva, Andris Gulans, Seokhyun Hong, Manoar Hossain, Hannah Kleine, Martin Kuban, Sven Lubeck, Benedikt Maurer, Pasquale Pavone, Fabian Peschel, Daria Popova‐Gorelova, Lu Qiao, Elias Richter, Santiago Rigamonti, Ronaldo Rodrigues Pela, Maximilian Schebek, Kshitij Sinha, Daniel T. Speckhard, Jan Stutz, Sebastian Tillack, Dmitry Tumakov, Jānis Užulis, Mara Voiculescu, Cecilia Vona, Mao Yang, Claudia Draxl   +29 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source