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检索条件"机构=Division of Computing and Data Science"
413 条 记 录,以下是1-10 订阅
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GMFLDA: Improved prediction of IncRNA-disease association via graph convolutional network
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IEEE Access 2025年 13卷 85330-85341页
作者: Kim, Kwangsu Ha, Jihwan Pukyong National University Department of Scientific Computing Busan48513 Korea Republic of Pukyong National University Major of Big Data Convergence Division of Data Information Science Busan48513 Korea Republic of
The rapid expansion of diverse networks has created a growing need to integrate multiple heterogeneous structures to effectively capture both inter- and intra-entity relationships. This integration helps preserve the ... 详细信息
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Secure and privacy-preserving federated learning-based resource allocation for next generation networks
Secure and privacy-preserving federated learning-based resou...
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International Conference on Innovation and Technological Advances for Sustainability, ITAS 2023
作者: Dandoush, Abdulhalim Gouissem, Ala Ciftler, Bekir Sait Division of Information Technology College of Computing and Information Technology University of Doha for Science and Technology Doha Qatar ESME Sduria/L2TI at Sorbonne University Paris Nord France Division of Data Science and Artificial Intelligence College of Computing and Information Technology University of Doha for Science and Technology Doha Qatar
This paper surveys recent research on federated learning-based resource allocation for next-generation networks in order to identify research gaps and potential future directions. We start by outlining the main challe... 详细信息
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Solving key challenges in collider physics with foundation models
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Physical Review D 2025年 第5期111卷 L051504-L051504页
作者: Vinicius Mikuni Benjamin Nachman National Energy Research Scientific Computing Center Berkeley Lab Berkeley California 94720 USA Physics Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Berkeley Institute for Data Science University of California Berkeley California 94720 USA
Foundation models are neural networks that are capable of simultaneously solving many problems. Large language foundation models like ChatGPT have revolutionized many aspects of daily life, but their impact for scienc...
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Robust Kernel Sparse Subspace Clustering
Robust Kernel Sparse Subspace Clustering
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Ivica Kopriva Division of Computing and Data Science Rudjer Boskovich Institute Zagreb Croatia
Kernel methods are widely used in pattern recognition, including subspace clustering (SC). They transform nonlinear problems in the input data space into linear ones in a high-dimensional feature space. This transform... 详细信息
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On Error-Based Step Size Control for Discontinuous Galerkin Methods for Compressible Fluid Dynamics
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应用数学与计算数学学报 2025年 第1期7卷 3-39页
作者: Hendrik Ranocha Andrew R.Winters Hugo Guillermo Castro Lisandro Dalcin Michael Schlottke-Lakemper Gregor J.Gassner Matteo Parsani Applied Mathematics University of HamburgBundesstr.5520146 HamburgGermany Department of Mathematics Applied Mathematics Linköping UniversityLinköpingSweden Extreme Computing Research Center(ECRC) Computer Electrical and Mathematical Science and Engineering Division(CEMSE)King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Applied and Computational Mathematics RWTH Aachen UniversityAachenGermany High-Performance Computing Center Stuttgart University of StuttgartStuttgartGermany Department of Mathematics and Computer Science University of CologneCologneGermany Center for Data and Simulation Science University of CologneCologneGermany Extreme Computing Research Center(ECRC) Computer Electrical and Mathematical Science and Engineering Division(CEMSE)King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Physical Science and Engineering Division(PSE) King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia
We study a temporal step size control of explicit Runge-Kutta(RK)methods for com-pressible computational fluid dynamics(CFD),including the Navier-Stokes equations and hyperbolic systems of conservation laws such as th... 详细信息
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data-Adaptive Low-Rank Sparse Subspace Clustering
arXiv
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arXiv 2025年
作者: Kopriva, Ivica Division of Computing and Data Science Ruđer Bošković Institute Zagreb Croatia
Low-rank sparse subspace clustering (LRSSC) algorithms built on self-expressive model effectively capture both the global and local structure of the data. However, existing solutions, primarily based on proximal opera... 详细信息
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Fuzzy-Based Optimization Techniques for Segmenting the Tumors in Multimodal MRI Images
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Operations Research Forum 2025年 第1期6卷 1-27页
作者: Alagarsamy, Saravanan Nagarajan, D. Govindaraj, Vishnuvardhan Department of Information Technology Sri Sivasubramaniya Nadar College of Engineering Rajiv Gandhi Salai (OMR) Tamilnadu Chennai India Department of Mathematics Rajalakshmi Institute of Technology Chennai India Division of Data Science of School of Computing Science and Education VIT Bhopal University Kothrikalan Madhya Pradesh Sehore 466114 India
Accurate brain tumor prediction is essential when approaching the field of health care;wherever accuracy in decision-making is crucial, the issues also need to be resolved right away. Many artificial intelligence and ... 详细信息
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Bayesian classifier based on cancer prognostic markers using accelerated failure time model with frailty effect
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Quality and Quantity 2025年 1-27页
作者: Vishwakarma, Gajendra K. Kumari, Pragya Bhattacharjee, Atanu Ong, Seng Huat Department of Mathematics & Computing Indian Institute of Technology Dhanbad Jharkhand Dhanbad 826004 India Division of Population Health and Genomics School of Medicine University of Dundee Dundee United Kingdom Institute of Actuarial Science and Data Analytics UCSI University Kuala Lumpur 56000 Malaysia Institute of Mathematical Sciences University of Malaya Kuala Lumpur 50603 Malaysia
This work presents a Bayesian classifier technique to categorize patients based on predictive biomarkers of time-to-event data utilizing the Accelerated Failure Time (AFT) model incorporating the frailty effect. Befor... 详细信息
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Decoder-Only Image Registration
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IEEE Transactions on Medical Imaging 2025年 PP卷 PP页
作者: Jia, Xi Lu, Wenqi Cheng, Xinxing Duan, Jinming University of Birmingham School of Computer Science United Kingdom Manchester Metropolitan University Department of Computing and Mathematics United Kingdom University of Manchester Division of Informatics Imaging and Data Sciences United Kingdom
In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, we question the necessity o... 详细信息
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HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images
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Computers in Biology and Medicine 2025年 190卷 109991-109991页
作者: Ahmad, Zahoor Al-Thelaya, Khaled Alzubaidi, Mahmood Joad, Faaiz Gilal, Nauman Ullah Mifsud, William Boughorbel, Sabri Pintore, Giovanni Gobbetti, Enrico Schneider, Jens Agus, Marco Division of Information and Computing Technology College of Science and Engineering Hamad Bin Khalifa University Qatar Foundation Doha Qatar Kite Pharma Santa MonicaCA United States Visual and Data-intensive Computing CRS4 Italy Qatar Computing Research Institute Hamad Bin Khalifa University Qatar Foundation Doha Qatar
We introduce an end-to-end framework for the automated visual annotation of histopathology whole slide images. Our method integrates deep learning models to achieve precise localization and classification of cell nucl... 详细信息
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