Results 81 to 90 of about 125,665 (304)
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
The Two Hyperplane Conjecture [PDF]
Acta Mathematica Sinica, English Series, 2019 22 pages, this new version corrects one word in the introduction, Aguilera is the name of the first author of a paper cited (not Athanosopoulos).
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Machine Learning Paradigm for Advanced Battery Electrolyte Development
Carbon Energy, EarlyView.Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
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Hyperplanes That Intersect Each Ray of a Cone Once and a Banach Space Counterexample
Abstract and Applied Analysis, 2016 Suppose C is a cone contained in real vector space V. When does V contain a hyperplane H that intersects each of the 0-rays in C∖{0} exactly once? We build on results found in Aliprantis, Tourky, and Klee Jr.’s work to give a partial answer to this ...
Chris McCarthy
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Anchored Hyperplane Location Problems [PDF]
Discrete and Computational Geometry, 2003 The paper considers a restricted version of a hyperplane location problem in \(\mathbb R^n\): The anchored hyperplane location problem consists of locating a hyperplane in \(\mathbb R^n\) that passes through a given set of points \(P\) while it minimizes at the same time the median objective or the center objective, respectively, with respect to a ...
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The Canadian Journal of Chemical Engineering, EarlyView.Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
The hyperplane string, RCFTs, and the swampland
Journal of High Energy PhysicsSix dimensional N $$ \mathcal{N} $$ = (1, 0) supergravity features BPS strings whose properties encode highly nontrivial information about the parent 6d theory.
Guglielmo Lockhart, Luca Novelli
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Diagnosis of Breast Cancer Tissues Using 785 nm Miniature Raman Spectrometer and Pattern Regression
Sensors, 2017 For achieving the development of a portable, low-cost and in vivo cancer diagnosis instrument, a laser 785 nm miniature Raman spectrometer was used to acquire the Raman spectra for breast cancer detection in this paper.
Qingbo Li, Can Hao, Zhi Xu
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The Canadian Journal of Chemical Engineering, EarlyView.Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
Epileptic Disorders, EarlyView.Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu +7 more
wiley +1 more source