Results 41 to 50 of about 4,358,705 (199)

A Generalized Approach for Anomaly Detection From the Internet of Moving Things

open access: yesIEEE Access, 2019
Internet of Moving Things are connected to a variety of different types of sensors to form a world of moving things, including people, animals, vehicles, drones, and boats, etc.
Junfeng Tian   +3 more
doaj   +1 more source

Proximity‐Tuned Magnetic and Transport Anomalies in All‐Epitaxial Fe5−xGeTe2/WSe2 Van der Waals Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
All‐epitaxial and scalable ferromagnetic/non‐magnetic Fe5−xGeTe2/WSe2 van der Waals (vdW) heterostructures exhibiting room‐temperature magnetism and perpendicular magnetic anisotropy (PMA) are realized. The system displays proximity‐tuned magnetic anisotropy, thickness‐dependent unconventional Hall effects, and temperature‐dependent sign reversal of ...
Hua Lv   +15 more
wiley   +1 more source

Single vector magnetometer moving direction magnetic gradient anomaly detection method

open access: yesJournal of Engineering and Applied Science
In this paper, aiming at the problems of complex array calibration and insufficient detection performance under low signal—to—noise ratios in existing vector gradient magnetic anomaly detection systems, a magnetic anomaly detection method based on ...
Qian Xiang, Pei Jiang, Ning Zhang
doaj   +1 more source

Magnetic Anomaly Detection Based on a Multi-Parameter-Constrained Mirror Dual-Branch Biased Monostable Stochastic Resonance System

open access: yesSensors
Magnetic anomaly detection is vulnerable to environmental noise and insufficient prior target information, making non-periodic anomaly signals difficult to detect at low-signal-to-noise-ratio (SNR) conditions. This paper proposes a detection method based
Rongxiang Xia   +4 more
doaj   +1 more source

Study on the shielding effect of low resistance body when using transient electromagnetic to detect urban underground space.

open access: yesPLoS ONE, 2023
Transient electromagnetic Method (TEM) is an efficient geophysical detection technology suitable for detection of urban near-surface space. However, its detection results are well affected by the low resistance anomaly, which interferes with the ...
Yin An   +5 more
doaj   +1 more source

keras-anomaly-detection

open access: yes, 2019
<p>Anomaly detection implemented in Keras</p ...
Chen, Xianshun, Chen, Xianshun (6828593)
core   +1 more source

Unsupervised Anomaly Detection: investigations on Isolation Forest [PDF]

open access: yes, 2022
openNel mondo di oggi, la crescente quantità di informazioni disponibili rende possibile analizzare diversi fattori. Uno di questo fattori è il rilevamento delle anomalie.
SAVARINO, VINCENZO
core  

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

Limits to the Hall Effect and Other Nonreciprocal Effects in Three‐Dimensional Metamaterials

open access: yesAdvanced Materials, EarlyView.
Comprehensive and fundamental bounds on nonreciprocal effects in three‐dimensional metamaterials are derived. They reveal that the effective Hall mobility cannot exceed the largest constituent mobility, that, under certain conditions, the Verdet constant cannot be enhanced, and that, for constituents with Hall coefficients of the same sign, the largest
Christian Kern, Graeme W. Milton
wiley   +1 more source

Research on the Detection Model of Kernel Anomalies in Ionospheric Space Electric Fields

open access: yesAtmosphere
Research has found kernel anomaly regions in the power spectrum images of ionospheric electric fields in space, which are widely distributed. To effectively detect these kernel abnormal regions, this paper proposes a new kernel abnormal region detection ...
Xingsu Li   +6 more
doaj   +1 more source

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