Results 121 to 130 of about 41,613 (278)

PVM Kriging with R

, 2003
Kriging is one of the most frequently used prediction methods in spatial data analysis. This paper examines which steps of the underlying algorithms can be performed in parallel on a PVM cluster. It will be shown, that some properties of the so called
Achim Zeileis (eds, Kurt Hornik, Friedrich Leisch, Pvm Kriging R, Albrecht Gebhardt   +4 more
core  

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, Volume 47, Issue 18, Page 16125-16154, 20 September 2026.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Enhancing Structural Reliability of Composite Adhesive Joints: An Integrated Experimental‐Numerical‐Machine Learning Framework for Material‐Geometric Co‐Optimization

Polymer Composites, Volume 47, Issue 18, Page 17023-17048, 20 September 2026.
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley   +1 more source

Maximum‐Entropy‐Based Meshless Modeling of Surface‐Tension‐Driven Large Deformation

International Journal for Numerical Methods in Engineering, Volume 127, Issue 17, 15 September 2026.
ABSTRACT Soft material modeling is challenging due, among others, to the substantial structural changes these materials undergo. In this context, meshless methods offer a promising alternative to overcome the limitations of established mesh‐based approximations such as finite elements. However, they introduce new challenges.
Rodrigo Castillo‐Acuna, Nicholas Gianotti, Dennis M. Kochmann   +2 more
wiley   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, Volume 8, Issue 9, September 2026.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

Improving short-term grade block models: alternative for correcting soft data

REM: International Engineering Journal
Short-term mining planning typically relies on samples obtained from channels or less-accurate sampling methods. The results may include larger sampling errors than those derived from diamond drill hole core samples.
Cristina da Paixão Araújo, João Felipe Coimbra Leite Costa, Vanessa Cerqueira Koppe   +2 more
doaj   +1 more source

Flexural bulges and foredeep basins: Dynamic tectonic control on shifting depocentres and condensed facies, Upper Cretaceous (Santonian), Western Canada Foreland Basin

The Depositional Record, Volume 12, Issue 4, September 2026.
Allostratigraphically defined mudstone packages show marked along‐strike thickness variation, interpreted to be related to shifting thrust activity in the orogen; loading cycles lasted about 750 kyr. Close to the orogen, the forebulge is mantled by shelly sandstone whereas far from the orogen, the forebulge is typified by organic‐rich mudstone ...
Omar N. Al‐Mufti, A. Guy Plint, El‐Mahadia I. Mohammed, Ireneusz Walaszczyk, Y. Greg Hu   +4 more
wiley   +1 more source

Spatial and temporal drivers of landscape‐level variation of aboveground net primary production in a semiarid grassland

Ecosphere, Volume 17, Issue 9, September 2026.
Abstract Predicting aboveground net primary production (ANPP) fluctuations across various spatial and temporal scales is of critical interest to researchers and land managers alike. Interannual variation in precipitation is a key control on ANPP, particularly in semiarid environments.
Thomas K. Merchant, Olivia L. Hajek, David J. Augustine, Lauren M. Porensky, Sean P. Kearney, David L. Hoover   +5 more
wiley   +1 more source

Kriging-Variance-Informed Multi-Robot Path Planning and Task Allocation for Efficient Mapping of Soil Properties

One of the most commonly performed environmental explorations is soil sampling to identify soil properties of agricultural fields, which can inform the farmer about the variable rate treatment of fertilisers in precision agriculture. However, traditional
Laurence Roberts-Elliott (18788221), Grzegorz Cielniak (17155543), Gautham Das (17156458)   +2 more
core   +4 more sources

Enhancing Identifiable Variational Autoencoder in the Presence of Missing Values and Auxiliary Covariates for Spatio‐Temporal Ozone Modeling

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT The formation of ground‐level ozone follows complex nonlinear photochemical processes that depend on multiple environmental factors and have strong spatio‐temporal structures. Environmental data used to study these dynamics usually originate from multiple sources, including in situ monitoring stations and satellite observations.
Mika Sipilä, Sandra De Iaco, Claudia Cappello, Klaus Nordhausen, Monica Palma, Sara Taskinen   +5 more
wiley   +1 more source