Results 221 to 230 of about 199,039 (272)

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Federated TriNet-AQ: Explainable english proficiency classification in augmented and virtual reality learning. [PDF]

PLoS One
Zhang C, Liu Z.
europepmc   +1 more source

Entropy‐Driven Design of Stable High‐Performance Sodium‐Ion Battery Cathodes

EcoEnergy, EarlyView.
This review explores high‐entropy strategies for advanced sodium‐ion battery cathodes, focusing on LTMOs and PBAs. It details how entropy engineering mitigates challenges: phase transitions, interface degradation, and air instability in LTMOs; vacancy defects and crystalline water in PBAs.
Feng Zhan, Chuzhang Hong, Yue Luo, Jinhua Sun, Hua Fan, Zhiming Feng, Jie Yang, Xinhua Liu, Rui Tan   +8 more
wiley   +1 more source

Residual bayesian attention networks for uncertainty quantification in regression tasks. [PDF]

Sci Rep
Chen Y, Guan W, Azzam R.
europepmc   +1 more source

Trends in marine species distribution models: a review of methodological advances and future challenges

Ecography, EarlyView.
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen, Tiago A. Marques, Filipe Alves, Marc Fernandez   +3 more
wiley   +1 more source

Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm. [PDF]

Entropy (Basel)
Lahmiri S, Tadj C, Gargour C.
europepmc   +1 more source

Twenty years of dynamic occupancy models: a review of applications and look to the future

Ecography, EarlyView.
Since their introduction over 20 years ago, dynamic occupancy models (DOMs) have become a powerful and flexible framework for estimating species occupancy across space and time while accounting for imperfect detection. As their popularity has increased and extensions have further expanded their capabilities, DOMs have been applied to increasingly ...
Saoirse Kelleher, Gurutzeta Guillera-Arroita, Jane Elith, Natalie J. Briscoe   +3 more
wiley   +1 more source

Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling. [PDF]

J Chem Inf Model
Khalil B, Schweighofer K, Dyubankova N, van Westen GJP, van Vlijmen H.   +4 more
europepmc   +1 more source

Spherical Priors for Bayesian Deep Learning

, 2023
openaire   +1 more source

Outcome of IWGT workshop on transcriptomic biomarkers for genotoxicity: Key considerations for bioinformatics

Environmental and Molecular Mutagenesis, EarlyView.
Abstract As a part of the International Workshop on Genotoxicity Testing (IWGT) in 2022, a workgroup was formed to evaluate the level of validation and regulatory acceptance of transcriptomic biomarkers that identify genotoxic substances. Several such biomarkers have been developed using various molecular techniques and computational approaches. Within
Matthew J. Meier, Florian Caiment, J. Christopher Corton, Roland Frötschl, Yurika Fujita, Danyel Jennen, Roman Mezencev, Carole Yauk   +7 more
wiley   +1 more source