Results 111 to 120 of about 9,313 (254)
ABSTRACT This paper examines the role of artificial intelligence (AI) in shaping economic decision‐making and improving air transport performance in G7 countries over the period 1996–2021. AI is proxied by scientific publications and interpreted as an indicator of innovation capacity that supports data‐driven decision‐making and operational efficiency ...
Emin Ahmet Kaplan +3 more
wiley +1 more source
Addressing the curse of dimensionality in stochastic dynamics: a Wiener path integral variational formulation with free boundaries. [PDF]
Petromichelakis I, Kougioumtzoglou IA.
europepmc +1 more source
Mapping Causal Biology: Mendelian Randomization in the Era of Big Data
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen +10 more
wiley +1 more source
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah +2 more
wiley +1 more source
Robust subspace methods for outlier detection in genomic data circumvents the curse of dimensionality. [PDF]
Shetta O, Niranjan M.
europepmc +1 more source
Approximate Reachability for Feedback Linearizable Systems
The backwards reachable set for a dynamical system is the set of states for which there exists a constraint admissible trajectory that reaches a given terminal set. Conventional grid‐based approaches for computing these sets are intractable for many applications.
Vincent Liu +2 more
wiley +1 more source
A structurally localized ensemble Kalman filtering approach
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song +3 more
wiley +1 more source
ABSTRACT This paper investigates how income inequality and financial globalization shape sustainable industrialization across 87 countries over 2000–2022, using the SDG 9 composite index as the outcome and the Method of Moments Quantile Regression (MMQR) to capture heterogeneous effects.
Özge Kozal, Daniel Balsalobre‐Lorente
wiley +1 more source
Gene-gene interaction: the curse of dimensionality. [PDF]
Chattopadhyay A, Lu TP.
europepmc +1 more source

