Results 81 to 90 of about 10,752 (214)

Efficient ECG classification based on the probabilistic Kullback-Leibler divergence

Informatics in Medicine Unlocked
Diagnostic systems of cardiac arrhythmias face early and accurate detection challenges due to the overlap of electrocardiogram (ECG) patterns. Additionally, these systems must manage a huge number of features.
Dhiah Al-Shammary, Mohammed Radhi, Ali Hakem AlSaeedi, Ahmed M. Mahdi, Ayman Ibaida, Khandakar Ahmed   +5 more
doaj   +1 more source

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

Laser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová, Dominik Vašinka, Robert Stárek, Miroslav Ježek   +3 more
wiley   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Generative MR Multitasking With Complex‐Harmonic Cardiac Encoding: Bridging the Gap Between Gated Imaging and Real‐Time Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a unified image reconstruction framework that bridges real‐time and gated cardiac MRI, including quantitative MRI. Methods We introduce generative multitasking, which learns subject‐ and dataset‐specific implicit neural temporal bases from sequence timings and an interpretable latent space for cardiac and respiratory motion.
Xinguo Fang, Anthony G. Christodoulou
wiley   +1 more source

Unifying Computational Entropies via Kullback–Leibler Divergence [PDF]

, 2019
We introduce hardness in relative entropy, a new notion of hardness for search problems which on the one hand is satisfied by all one-way functions and on the other hand implies both next-block pseudoentropy and inaccessible entropy, two forms of computational entropy used in recent constructions of pseudorandom generators and statistically hiding ...
Rohit Agrawal 0002, Yi-Hsiu Chen, Thibaut Horel, Salil P. Vadhan   +3 more
openaire   +3 more sources

Asymmetric transferability of trait–environment relationships between native and exotic plant species in Singaporean forests differing in land‐use history

Oikos, EarlyView.
Functional traits allow ecologists to synthesise general rules of community assembly. In joint species distribution modelling, traits are increasingly used to explain species–environment relationships, with the intention of being able to generalise predictions to other species in other systems.
Hao Ran Lai, Kwek Yan Chong, Louise Neo, David A. Wardle, Peter A. Vesk   +4 more
wiley   +1 more source

Kullback-Leibler Divergence of Sleep-Wake Patterns Related with Depressive Severity in Patients with Epilepsy. [PDF]

Brain Sci, 2023
Liu M, Jiang J, Feng Y, Cai Y, Ding J, Wang X.   +5 more
europepmc   +1 more source

Increased utilitarian value of invasive species in regions with long invasion history may limit public engagement for invasion control

PLANTS, PEOPLE, PLANET, EarlyView.
Positive perceptions of invasive species can hinder effective management, especially if management efforts that are rooted in scientific theories are misaligned with local ecological knowledge. We documented local ecological knowledge about land invasibility as predicted by invasion biology theories. Participants with greater local ecological knowledge
Laurel Mael Philpott, Orou G. Gaoue
wiley   +1 more source

On Weighted Kullback–Leibler Divergence for Doubly Truncated Random Variables

Revstat Statistical Journal, 2019
In this communication, we study doubly truncated weighted Kullback–Leibler divergence (KLD) between two nonnegative random variables. The proposed measure is a generalization of the dynamic weighted KLD introduced by Yasaei Sekeh et al. (2013).
Rajesh Moharana , Suchandan Kayal
doaj   +1 more source

Uncertainty Evaluation for Testing and Calibrating Mobile Sensors Only Using Short Collocation Periods

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Low‐cost sensors are increasingly being used, and also considered for usage in regulatory contexts like air quality monitoring. Proper sensor calibration and uncertainty evaluation is necessary in such cases. With the advance of mobile sensors, for example, installed on top of a car, new test and calibration paradigms are required, in ...
Gertjan Kok, Shahin Tabandeh
wiley   +1 more source