Results 81 to 90 of about 11,259 (184)

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

Using Feature Engineering and Principal Component Analysis for Monitoring Spindle Speed Change Based on Kullback-Leibler Divergence with a Gaussian Mixture Model. [PDF]

Sensors (Basel), 2023
Huang YC, Hou CC.
europepmc   +1 more source

Machine Learning for Thermodynamic States of Notional Nonideal Energetic Mixtures

Propellants, Explosives, Pyrotechnics, EarlyView.
. ABSTRACT Currently, modeling the thermodynamic states in the reaction zone of a detonating energetic mixture entails iteratively solving a set of coupled differential equations that require detailed material property information or models whose empirical parameters must be physically measured.
Sangeeth Balakrishnan, Jesse Hearn, Francis G. VanGessel, Brian C. Barnes, Ruth Doherty, William Wilson, Ryan Ciufo, Peter W. Chung   +7 more
wiley   +1 more source

Bregman–Hausdorff Divergence: Strengthening the Connections Between Computational Geometry and Machine Learning

Machine Learning and Knowledge Extraction
The purpose of this paper is twofold. On a technical side, we propose an extension of the Hausdorff distance from metric spaces to spaces equipped with asymmetric distance measures.
Tuyen Pham, Hana Dal Poz Kouřimská, Hubert Wagner   +2 more
doaj   +1 more source

Evolution of the SARS‐CoV‐2 Main Protease Under Fitness Constraints Imposed by Folding Stability and Activity

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) continues to evolve and diversify, leading to the emergence of immune‐evasive variants and underscoring the need for complementary antiviral strategies targeting conserved viral machinery. In this context, the main protease (Mpro) represents a potential therapeutic target because
David Ferreiro, Miguel Arenas
wiley   +1 more source

Generalizing machine learning models from clinical free text

Scientific Reports
To assess strategies for enhancing the generalizability of healthcare artificial intelligence models, we analyzed the impact of preprocessing approaches applied to medical free text, compared single- versus multiple-institution data models, and evaluated
Balaji Pandian, John Vandervest, Graciela Mentz, Jomy Varghese, Shavano D. Steadman, Sachin Kheterpal, Maggie Makar, V. G. Vinod Vydiswaran, Michael L. Burns   +8 more
doaj   +1 more source

A Generic Formula and Some Special Cases for the Kullback-Leibler Divergence between Central Multivariate Cauchy Distributions. [PDF]

Entropy (Basel), 2022
Bouhlel N, Rousseau D.
europepmc   +1 more source

Information‐Theoretic Framework for Allosteric Communication Pathway Prediction From Protein Structure

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Allosteric communication is fundamental to the function of proteins, but identifying the residue‐level pathways through which signals travel and their directionality is still a major challenge. Here we present a multi‐metric information‐theoretic framework that identifies candidate allosteric communication pathways from a single protein ...
Aysima Hacisuleyman, Dirk Fasshauer
wiley   +1 more source

A Satellite Incipient Fault Detection Method Based on Decomposed Kullback-Leibler Divergence. [PDF]

Entropy (Basel), 2021
Zhang G, Yang Q, Li G, Leng J, Yan M.
europepmc   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source