Results 61 to 70 of about 1,172 (259)
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 +6 more
wiley +1 more source
The acquisition of classifier predicates in American Sign Language
, 1987 This project is a comparative investigation of the acquisition of predicate forms that comprise the heart of productive predicate morphology in ASL.
Schick, Brenda Sue
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Deep Underground Science and Engineering, EarlyView.This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Gesture and classifier predicates in American Sign Language
, 2007 Classifier predicates in American Sign Language (ASL) have long presented a puzzle to linguists because of their unique structure and iconicity. Classifier predicates are used in the language to describe elements of real space; their structure and ...
Williams, Deborah Michele
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Seismic analysis and design of tunnels within fault ground: A review
Deep Underground Science and Engineering, EarlyView.The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang +6 more
wiley +1 more source
Clustering-Based Predictive Process Monitoring [PDF]
, 2016 The enactment of business processes is generally supported by information systems that record data about each process execution (a.k.a. case). This data can be analyzed via a family of methods broadly known as process mining.
Maggi, Fabrizio Maria +3 more
core +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
A Semantic Triplet Based Story Classifier [PDF]
, 2013 : Text classification, in the artificial intelligence domain, is an activity in which text documents are automatically classified into predefined categories using machine learning techniques.
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Grassland Research, EarlyView.In this study, we compared two sampling approaches to assess autumn freezing resistance. Our goal was to determine whether the commonly employed cutting method, which disrupts root‐tissue connectivity, provides a valid measure of true freezing resistance.
Zhengjie Yan +6 more
wiley +1 more source
Evaluating Correctness of Propositions Using the Web
, 2018 In this work, we contribute a method that takes advantage of the powerful corpus of the Web data to automatically evaluate the truth of propositions that are stated as multiargument instantiated predicates, e.g., City In Country (Beijing,China).
Manuela M. Veloso (5399312) +2 more
core +1 more source