Results 61 to 70 of about 10,677 (169)

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

open access: yesInfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang   +6 more
wiley   +1 more source

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

open access: yesMaterials 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   +11 more
wiley   +1 more source

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

open access: yesMagnetic 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

Efficient ECG classification based on the probabilistic Kullback-Leibler divergence

open access: yesInformatics 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   +5 more
doaj   +1 more source

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

open access: yesOikos, 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   +4 more
wiley   +1 more source

On Weighted Kullback–Leibler Divergence for Doubly Truncated Random Variables

open access: yesRevstat 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

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

open access: yesPLANTS, 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

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

open access: yesQuality 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

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani   +1 more
wiley   +1 more source

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