Results 61 to 70 of about 992,502 (288)
Latent Outlier Exposure in Real-Time Anomaly Detection at the Large Hadron Collider
ComputersWe propose a novel approach to real-time anomaly detection at the Large Hadron Collider, aimed at enhancing the discovery potential for new fundamental phenomena in particle physics.
Thomas Dartnall Stern +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Carbon nanomembranes with ultra‐thin Al2O3 functionalization are less than 15 nm thin and exhibit outstanding permeation performance with a water vapor/nitrogen selectivity higher than 1 × 104, twice that of pristine CNMs, and an exceptionally high water vapor permeation rate for potential applications in air dehumidification.
Jan Biedinger +10 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This research utilizes selective reduction laser sintering (SRLS) to engineer In2O3 NPs for flexible NO2 sensors. The introduction of oxygen vacancy defects enhances sensor performance, offering excellent responsiveness, rapid response/recovery, superior selectivity, low detection limit, and long‐term stability.
Shaogang Wang +8 more
wiley +1 more source
Adversarially-trained autoencoders for robust unsupervised new physics searches
Journal of High Energy Physics, 2019 Machine learning techniques in particle physics are most powerful when they are trained directly on data, to avoid sensitivity to theoretical uncertainties or an underlying bias on the expected signal.
Andrew Blance +2 more
doaj +1 more source
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems [PDF]
arXiv, 2022 Anomaly detection in videos is an important computer vision problem with various applications including automated video surveillance. Although adversarial attacks on image understanding models have been heavily investigated, there is not much work on adversarial machine learning targeting video understanding models and no previous work which focuses on
arxiv
Control of Ferromagnetism of Vanadium Oxide Thin Films by Oxidation States
Advanced Functional Materials, EarlyView.The nonstoichiometric VOx exhibits a distinct ferromagnetic hysteresis loop and demonstrates a high magnetic susceptibility (χ=dMdH$ = \frac{{dM}}{{dH}}\;$∼10). Micromagnetic simulations show the results of the “partial volume fraction ferromagnetic phase model” for VOx/Co/Pt structure.
Kwonjin Park +9 more
wiley +1 more source
Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection [PDF]
EPJ Web of ConferencesThis work describes an online processing pipeline designed to identify anomalies in a continuous stream of data collected without external triggers from a particle detector.
Grosso Gaia +6 more
doaj +1 more source
Advanced Functional Materials, EarlyView.EuSc₂Te₄, an antiferromagnetic semiconductor, exhibits a nonlinear Hall effect (NLHE) characterized by quadratic current–voltage behavior. Combined experimental and theoretical studies reveal that this NLHE is linked to its antiferromagnetism and involves contributions from the quantum metric.
Seng Huat Lee +15 more
wiley +1 more source
Anomaly detection in the presence of irrelevant features
Journal of High Energy PhysicsExperiments at particle colliders are the primary source of insight into physics at microscopic scales. Searches at these facilities often rely on optimization of analyses targeting specific models of new physics. Increasingly, however, data-driven model-
Marat Freytsis +2 more
doaj +1 more source
High-dimensional and permutation invariant anomaly detection
SciPost PhysicsMethods for anomaly detection of new physics processes are often limited to low-dimensional spaces due to the difficulty of learning high-dimensional probability densities. Particularly at the constituent level, incorporating desirable properties such as
Vinicius Mikuni, Benjamin Nachman
doaj +1 more source