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检索条件"机构=Center for Advanced Computing and Modelling"
26 条 记 录,以下是1-10 订阅
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Experimental Validation of Intelligent Ad Hoc System for Sea Surface Velocity Approximation
Experimental Validation of Intelligent Ad Hoc System for Sea...
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International Conference on Autonomous Robots and Agents, ICARA
作者: Karlo Jakac Luka Lanča Ante Sikirica Stefan Ivić Faculty of Engineering University of Rijeka Rijeka Croatia Center for Advanced Computing and Modelling University of Rijeka Rijeka Croatia
This paper presents the validation of a smart ad hoc system designed to approximate the sea surface velocity field using measurements obtained from multiple floating sensors. Recognizing that point data alone cannot f... 详细信息
来源: 评论
Efficient data-driven flow modeling for accurate passive scalar advection in submesoscale domains
arXiv
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arXiv 2025年
作者: Jakac, Karlo Lanča, Luka Sikirica, Ante Ivić, Stefan Faculty of Engineering University of Rijeka Vukovarska 58 Rijeka51000 Croatia Center for Advanced Computing and Modelling University of Rijeka Radmile Matejčić 2 Rijeka51000 Croatia
Knowing the sea surface velocity field is essential for various applications, such as search and rescue operations and oil spill monitoring, where understanding the movement of objects or substances is critical. Howev... 详细信息
来源: 评论
AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models
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Multimedia Tools and Applications 2025年 第4期84卷 1821-1843页
作者: Aydin, Mehmet Barua, Prabal Datta Chadalavada, Sreenivasulu Dogan, Sengul Tuncer, Turker Chakraborty, Subrata Acharya, Rajendra U. Department of Digital Forensics Engineering Technology Faculty Firat University Elazig Turkey University of Southern Queensland Toowoomba Australia School of Engineering University of Southern Queensland Springfield LakesQLD4300 Australia School of Science and Technology Faculty of Science Agriculture Business and Law University of New England ArmidaleNSW2351 Australia Center for Advanced Modelling and Geospatial Information Systems Faculty of Engineering and IT University of Technology Sydney SydneyNSW2007 Australia School of Mathematics Physics and Computing University of Southern Queensland Toowoomba Australia
In 2023, Turkiye faced a series of devastating earthquakes and these earthquakes affected millions of people due to damaged constructions. These earthquakes demonstrated the urgent need for advanced automated damage d... 详细信息
来源: 评论
Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson’s Disease Screening in OCT
arXiv
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arXiv 2025年
作者: Zhang, Xiaoqing Shi, Hanfeng Li, Xiangyu Ye, Haili Xu, Tao Li, Na Hu, Yan Lv, Fan Chen, Jiangfan Liu, Jiang Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University Wenzhou China Centre for Computational Science and Mathematical Modelling Coventry University Coventry United Kingdom School of Computer Science University of Nottingham Ningbo China Ningbo315100 China School of Ophthalmology and Optometry Wenzhou Medical University Wenzhou325035 China Department of Electronic and Information Engineering Changchun University Changchun130022 China
Parkinson’s disease (PD) is a prevalent neurodegenerative disorder globally. The eye’s retina is an extension of the brain and has great potential in PD screening. Recent studies have suggested that texture features... 详细信息
来源: 评论
Approximation of sea surface velocity field by fitting surrogate two-dimensional flow to scattered measurements
arXiv
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arXiv 2024年
作者: Jakac, Karlo Lanča, Luka Sikirica, Ante Ivić, Stefan Faculty of Engineering University of Rijeka Vukovarska 58 Rijeka51000 Croatia Center for Advanced Computing and Modelling University of Rijeka Radmile Matejčić 2 Rijeka51000 Croatia
In this paper, a rapid approximation method is introduced to estimate the sea surface velocity field based on scattered measurements. The method uses a simplified two-dimensional flow model as a surrogate model, which... 详细信息
来源: 评论
Experimental and LBM analysis of medium-Reynolds number fluid flow around NACA0012 airfoil
arXiv
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arXiv 2023年
作者: Rak, Andro Grbčić, Luka Sikirica, Ante Kranjčević, Lado Faculty of Engineering University of Rijeka Vukovarska 58 Rijeka51000 Croatia Center for Advanced Computing and Modelling University of Rijeka Radmile Matejčić 2 Rijeka51000 Croatia
Purpose - Cornerstone of this research is the examination of fluid flow around NACA0012 airfoil, with the aim of the numerical validation between the experimental results in the wind tunnel and the Lattice Boltzmann M... 详细信息
来源: 评论
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
arXiv
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arXiv 2021年
作者: Horry, Michael James Chakraborty, Subrata Pradhan, Biswajeet Fallahpoor, Maryam Hossein, Chegeni Paul, Manoranjan Center for Advanced Modelling and Geospatial Information Systems School of Information Systems & Modelling Faculty of Engineering and IT University of Technology Sydney SydneyNSW2007 Australia Imaging Center Mehr General Hospital Tehran Iran School of Computing and Mathematics Charles Sturt University BathurstNSW2795 Australia
The COVID-19 pandemic has inspired unprecedented data collection and computer vision modelling efforts worldwide, focusing on diagnosis and stratification of COVID-19 from medical images. Despite this large-scale rese... 详细信息
来源: 评论
Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
arXiv
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arXiv 2024年
作者: Sikirica, Ante Lučin, Ivana Alvir, Marta Kranjčević, Lado Čarija, Zoran Center for Advanced Computing and Modelling University of Rijeka Radmile Matejčić 2 Rijeka Rijeka51000 Croatia Faculty of Engineering University of Rijeka Vukovarska 58 Rijeka Rijeka51000 Croatia
This study aims to provide a comprehensive assessment of single-objective and multi-objective optimisation algorithms for the design of an elbow-type draft tube, as well as to introduce a computationally efficient opt... 详细信息
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Machine learning based surrogate models for microchannel heat sink optimization
arXiv
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arXiv 2022年
作者: Sikirica, Ante Grbčić, Luka Kranjčević, Lado Center for Advanced Computing and Modelling University of Rijeka Radmile Matejčić 2 Rijeka Rijeka51000 Croatia Faculty of Engineering University of Rijeka Vukovarska 58 Rijeka Rijeka51000 Croatia
Microchannel heat sinks are an efficient cooling method for semiconductor packages. However, to properly cool increasingly complex and thermally dense circuits, microchannel designs should be improved and expanded on.... 详细信息
来源: 评论
Reconstruction and analysis of negatively buoyant jets with interpretable machine learning
arXiv
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arXiv 2022年
作者: Alvir, Marta Grbčić, Luka Sikirica, Ante Kranjčević, Lado Department of Fluid Mechanics and Computational Engineering Faculty of Engineering University of Rijeka Vukovarska 58 Rijeka51000 Croatia Center for Advanced Computing and Modelling University of Rijeka Radmile Matejčić 2 Rijeka51000 Croatia
In this paper, negatively inclined buoyant jets, which appear during the discharge of wastewater from processes such as desalination, are observed. To minimize harmful effects and assess environmental impact, a detail... 详细信息
来源: 评论