Results 151 to 160 of about 174,352 (258)

Project scheduling under undertainty – survey and research potentials. [PDF]

open access: yes
The vast majority of the research efforts in project scheduling assume complete information about the scheduling problem to be solved and a static deterministic environment within which the pre-computed baseline schedule will be executed. However, in the
Herroelen, Willy, Leus, Roel
core  

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

open access: yesDeep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Review of artificial intelligence applications in geothermal energy extraction from hot dry rock

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji   +5 more
wiley   +1 more source

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

open access: yesDeep 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   +6 more
wiley   +1 more source

Global phylogenetic and functional structure of rodent assemblages

open access: yesEcography, EarlyView.
Exploring the global patterns of phylogenetic and functional structure of assemblages is key to describe the distribution of biodiversity on Earth and to predict how communities and ecosystem functioning may be affected by anthropogenic pressures. Rodent communities have been studied in this regard in the past, but previous work largely focused on ...
Yoan Fourcade, Bader H. Alhajeri
wiley   +1 more source

Artificial Intelligence‐Driven Innovations in Hydrogen Storage Technology

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review presents a comprehensive overview of recent advancements in hydrogen storage technology, with a particular focus on the integration of high‐throughput screening and machine learning. It primarily covers solid‐state hydrogen storage materials, including metal hydrides, alloys, carbon‐based materials, metal‐organic frameworks, and zeolites ...
Yusong Ding   +4 more
wiley   +1 more source

On the Applicability of the Advocacy Coalition Framework for Analyzing EU Policy Processes

open access: yesEuropean Policy Analysis, EarlyView.
ABSTRACT Initially developed for the US context, the Advocacy Coalition Framework (ACF) is increasingly used to analyze policy processes in the EU. But policymaking in EU differs from the US context, why the applicability of ACF in the EU context should be scrutinized.
Fredrik von Malmborg
wiley   +1 more source

Quantitative Evaluation of Sand Body Connectivity Based on the Support Vector Machine Algorithm: A Case Study of the Putaohua Oil Reservoir in the Daqing Oil Field, Songliao Basin, China

open access: yesEnergy Science &Engineering, EarlyView.
A support vector machine (SVM) algorithm was applied to quantitatively predict the connectivity of the sand bodies. Verification using dynamic and static data demonstrated that the prediction accuracy of the algorithm reached 88%. The quantitative sand body connectivity results were used to establish a single sand body model.
Hui He   +6 more
wiley   +1 more source

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