Results 71 to 80 of about 54,278 (285)
Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road Anomaly Detection
Road anomaly detection is essential in road maintenance and management; however, continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and high-efficiency solution remains a challenging research question.
Xiao Li +5 more
doaj +1 more source
(abridged) The discovery of OGLE 2005-BLG-390Lb, the first cool rocky/icy exoplanet, impressively demonstrated the sensitivity of the microlensing technique to extra-solar planets below 10 M_earth.
A. Allan +59 more
core +1 more source
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation
Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed.
Denman, Simon +5 more
core +1 more source
A type of magnetically responsive artificial cells (ACs) has been developed, demonstrating the loading of mitochondria and self‐enclosure processes to ensure the protection of mitochondrial transport via the bloodstream. The treatment with ACs effectively transplanted mitochondria around the lesion, thereby improving neurological recovery by supporting
Mi Zhou +10 more
wiley +1 more source
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
Anomalies-by-Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation
In order to navigate safely and reliably in off-road and unstructured environments, robots must detect anomalies that are out-of-distribution (OOD) with respect to the training data. We present an analysis-by-synthesis approach for pixel-wise anomaly detection without making any assumptions about the nature of OOD data.
Ancha, Siddharth +6 more
openaire +2 more sources
Magnetic doping of the topological insulator Bi2Te3 with erbium adatoms induces out‐of‐plane magnetism and breaks time‐reversal symmetry, opening a Dirac gap and driving a Fermi surface transition from hexagonal to star‐of‐David geometry. Microscopy, spectroscopy, and magnetic dichroism reveal atomically controlled magnetic interactions that tailor the
Beatriz Muñiz Cano +18 more
wiley +1 more source
We demonstrate successful fabrication of high‐quality α‐Sn/β‐Sn planar nanostructures with arbitrary shapes by focused laser irradiation on topological Dirac semimetal α‐Sn thin films. The irradiated regions transform into atomically smooth, superconducting β‐Sn with a critical temperature of 3.7 K.
Le Duc Anh +5 more
wiley +1 more source
Future Frame Prediction for Anomaly Detection -- A New Baseline
Anomaly detection in videos refers to the identification of events that do not conform to expected behavior. However, almost all existing methods tackle the problem by minimizing the reconstruction errors of training data, which cannot guarantee a larger
Gao, Shenghua +3 more
core +1 more source
Giant Berry‐phase‐Driven X‐Ray Beam Translations in Strain‐Engineered Semiconductor Crystals
Due to the Berry‐phase effect, X‐rays propagating in deformed crystals undergo large translations, interesting for X‐ray optics applications. Here, the lattice expansion observed upon H irradiation of dilute‐nitride semiconductors is exploited to engineer the deformation landscape of selectively hydrogenated GaAsN epilayers.
Marco Felici +9 more
wiley +1 more source

