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检索条件"机构=Data-Driven Computer Engineering Group"
22 条 记 录,以下是1-10 订阅
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Image Segmentation: Inducing graph-based learning
arXiv
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arXiv 2025年
作者: Singh, Aryan Van de Ven, Pepijn Eising, Ciarán Denny, Patrick Data-Driven Computer Engineering Group Dept. of Electronic and Computer Engineering University of Limerick Ireland
This study explores the potential of graph neural networks (GNNs) to enhance semantic segmentation across diverse image modalities. We evaluate the effectiveness of a novel GNN-based U-Net architecture on three distin... 详细信息
来源: 评论
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving  26
Deformable Convolution Based Road Scene Semantic Segmentatio...
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26th Irish Machine Vision and Image Processing Conference, IMVIP 2024
作者: Manzoor, Anam Singh, Aryan Sistu, Ganesh Mohandas, Reenu Grua, Eoin Scanlan, Anthony Eising, Ciarán Data-Driven Computer Engineering Group Dept. of Electronic and Computer Engineering University of Limerick Ireland
This study investigates the effectiveness of modern Deformable Convolutional Neural Networks (DCNNs) for semantic segmentation tasks, particularly in autonomous driving scenarios with fisheye images. These images, pro... 详细信息
来源: 评论
Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach
Optimizing Ego Vehicle Trajectory Prediction: The Graph Enha...
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IS and T International Symposium on Electronic Imaging 2024: Autonomous Vehicles and Machines, AVM 2024
作者: Sharma, Sushil Singh, Aryan Sistu, Ganesh Halton, Mark Eising, Ciarán Data-Driven Computer Engineering Group Dept. of Electronic and Computer Engineering University of Limerick Ireland
Predicting the trajectory of an ego vehicle is a critical component of autonomous driving systems. Current state-of-the-art methods typically rely on Deep Neural Networks (DNNs) and sequential models to process front-... 详细信息
来源: 评论
Survival Analysis of Kasturi Tobacco Plants in Jember District using the Stratified Cox and Extended Cox Models
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MethodsX 2025年
作者: Angga Iryanto Pratama Dwi Rantini Ratih Ardiati Ningrum Arip Ramadan Fazidah Othman Data Science Technology Study Program Faculty of Advanced Technology and Multidiscipline Universitas Airlangga Surabaya 60115 Indonesia Research Group of Data-Driven Decision Support System Faculty of Advanced Technology and Multidiscipline Universitas Airlangga Surabaya 60115 Indonesia Information System Study Program School of Industrial and System Engineering Telkom University Surabaya Campus Surabaya 60231 Indonesia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Malaysia
In 2022, tobacco was the top export commodity, generating $106.3 million in sales. East Java Province contributes significantly to Indonesia's tobacco production, with an annual output of 188.6 thousand tons. Jemb... 详细信息
来源: 评论
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving
arXiv
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arXiv 2024年
作者: Manzoor, Anam Singh, Aryan Sistu, Ganesh Mohandas, Reenu Grua, Eoin Scanlan, Anthony Eising, Ciarán Data-Driven Computer Engineering Group Dept. of Electronic and Computer Engineering University of Limerick Ireland
This study investigates the effectiveness of modern Deformable Convolutional Neural Networks (DCNNs) for semantic segmentation tasks, particularly in autonomous driving scenarios with fisheye images. These images, pro... 详细信息
来源: 评论
Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach
arXiv
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arXiv 2023年
作者: Sharma, Sushil Singh, Aryan Sistu, Ganesh Halton, Mark Eising, Ciarán Data-Driven Computer Engineering Group Dept. of Electronic and Computer Engineering University of Limerick Ireland
Predicting the trajectory of an ego vehicle is a critical component of autonomous driving systems. Current state-of-the-art methods typically rely on Deep Neural Networks (DNNs) and sequential models to process front-... 详细信息
来源: 评论
A two-sided iterative framework for model reduction of linear systems with quadratic output
A two-sided iterative framework for model reduction of linea...
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IEEE Conference on Decision and Control
作者: Ion Victor Gosea Athanasios C. Antoulas Data-Driven Reduction and Identification Group Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Department of Electrical and Computer Engineering Rice University Houston USA
We propose a model reduction procedure for approximating large-scale linear systems with quadratic output by means of lower dimensional systems with the same structure. The framework is based on an iteration that, at ... 详细信息
来源: 评论
Case study: Approximations of the bessel function
arXiv
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arXiv 2017年
作者: Karachalios, D.S. Gosea, I.V. Zhang, Q. Antoulas, A.C. Data-Driven System Reduction and Identification Group Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Department of Electrical and Computer Engineering Rice University Houston United States
The purpose of this note is to compare various approximation methods as applied to the inverse of the Bessel function of the first kind J01(s), in a given domain of the complex plane.30E10, 03C40, 65E99 Copyright ... 详细信息
来源: 评论
Design of Blockchain based e-Voting System for Vote Requirements
Design of Blockchain based e-Voting System for Vote Requirem...
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5th International Conference on data Mining, Communications and Information Technology, DMCIT 2021
作者: Choi, Seiwoong Kang, Jihun Chung, Kwang Sik Graduate School Dept. of Information Science Korea National Open University Jongno-gu Dongsung-Dong Seoul Korea Republic of BK 21 Data-Driven Science Future Talent Education Research Group Dept of Computer Science and Engineering Korea University Seoul Korea Republic of Dept. of Computer Science Korea National Open University Jongno-gu Dongsung-Dong Seoul Korea Republic of
Voting refers to the submission of an election or an opinion on a specific matter by expressing an intention on the ballot to a certain place. The existing voting method has the burden of counting time and cost. For t... 详细信息
来源: 评论
On the H2 norm and iterative model order reduction of linear switched systems
arXiv
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arXiv 2017年
作者: Gosea, Ion Victor Antoulas, Athanasios C. Data-Driven System Reduction and Identification Group Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Department of Electrical and Computer Engineering Rice University Houston United States MPI Magdeburg Germany Baylor College of Medicine Houston United States
A new definition of the H2 norm for linear switched systems is introduced. It is based on appropriately defined time-domain kernels, or equivalently, on infinite controllability and observability Gramian matrices. Fur... 详细信息
来源: 评论