Results 61 to 70 of about 1,200,520 (247)

Sub‐nm2 Ferroelectric Domains via Charged 180° Walls in ZrO2

open access: yesAdvanced Materials, EarlyView.
Ferroelectric ZrO2${\rm ZrO}_2$ thin films host closely spaced charged 180∘$^{\circ }$ domain walls that vertically compress polar domains beyond their lateral half‐unit‐cell limit. These head‐to‐head and tail‐to‐tail walls show distinct bulk‐like structures, natural oxygen‐mediated stabilization, and highly asymmetric mobility, highlighting new ...
Nashrah Afroze   +33 more
wiley   +1 more source

On multivalued fuzzy entropies

open access: yes, 2015
We analyze an axiomatic system that justifies the introduction of the concept of multivalued fuzzy entropy. This is a natural extension of the concept of fuzzy entropy given by De Luca and Termini.
RomanFlores, H, Bassanezi, RC
core   +1 more source

A Noninvasive Approach to Study Localized Forces in 3D Epithelia

open access: yesAdvanced Materials, EarlyView.
Epithelial morphogenesis depends on dynamic mechanical coupling between adhesion complexes and the cytoskeleton, yet its regulation in polarized 3D tissues remains elusive. We developed a noninvasive strategy using cell‐like elastic microbeads to quantify local forces in intact epithelia.
Niels Gouirand   +9 more
wiley   +1 more source

Evaluation of Acute Tonic Cold Pain From Microwave Transcranial Transmission Signals Using Multi-Entropy Machine Learning Approach

open access: yesIEEE Access, 2020
This study aims to improve the accuracy of detecting acute tonic cold pain (CP) perception from microwave transcranial transmission (MTT) signals. Two different types of CP and no-pain (NP) MTT signals are obtained from 15 subjects. Four features, namely,
Daoshuang Geng   +3 more
doaj   +1 more source

A Refined Multiscale Symbolic Diverse Entropy Technique for Detecting Weak Faults in Rotating Machinery

open access: yesApplied Sciences, 2023
In rotating machinery components, it is difficult to extract incipient weak fault features directly from vibration signals. A fault feature extraction method based on refined multiscale symbolic dispersion entropy (RMSDE) is proposed.
Shunming Li   +3 more
doaj   +1 more source

Fuzzy recurrence entropy

open access: yes, 2020
Recurrence is inherent in complex time series. Entropy of recurrence is utilized as a basis of nonlinear time-series analysis for quantifying characteristics and behaviors of dynamical systems.
Tuan D. Pham
core   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals

open access: yesFrontiers in Physiology, 2020
Sudden cardiac death (SCD), which can deprive a person of life within minutes, is a destructive heart abnormality. Thus, providing early warning information for patients at risk of SCD, especially those outside hospitals, is essential.
Manhong Shi   +9 more
doaj   +1 more source

On Sharma-Mittal’s Entropy under Intuitionistic Fuzzy Environment

open access: yes, 2021
Entropy plays an important role in many real-life applications to measure the amount of fuzziness associated with an intuitionistic fuzzy set. This paper reviews the different entropy measures defined on intuitionistic fuzzy sets and proposes a new ...
Merigó, JM   +3 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Home - About - Disclaimer - Privacy