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检索条件"机构=Advanced Computer Engineering Lab"
1368 条 记 录,以下是151-160 订阅
排序:
Online Self-distillation and Self-modeling for 3D Brain Tumor Segmentation
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IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页
作者: Pang, Yan Li, Yunhao Huang, Teng Liang, Jiaming Wang, Zhen Dong, Changyu Kuang, Dongyang Hu, Ying Chen, Hao Lei, Tim Wang, Qiong The Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China The School of Artificial Intelligence Guangzhou University China The Zhejiang Lab Hangzhou China Sun Yat-sen University China The Department of Computer Science and Engineering The Department of Chemical and Biological Engineering Hong Kong University of Science and Technology China The Department of Electrical Engineering University of Colorado Denver United States
In the specialized domain of brain tumor segmentation, supervised segmentation approaches are hindered by the limited availability of high-quality labeled data, a condition arising from data privacy concerns, signific... 详细信息
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NavG: Risk-Aware Navigation in Crowded Environments Based on Reinforcement Learning with Guidance Points
arXiv
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arXiv 2025年
作者: Zhang, Qianyi Luo, Wentao Liu, Boyi Zhang, Ziyang Wang, Yaoyuan Liu, Jingtai Institute of Robotics and Automatic Information System Nankai University Tianjin Key Laboratory of Intelligent Robotics Tianjin China Advanced Computing and Storage Lab Huawei 2012 Lab China Department of Electronic and Computer Engineering The Kong Kong University of Science and Technology Hong Kong
Motion planning in navigation systems is highly susceptible to upstream perceptual errors, particularly in human detection and tracking. To mitigate this issue, the concept of guidance points—a novel directional cue ... 详细信息
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Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
arXiv
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arXiv 2024年
作者: Min, Dehai Hu, Nan Jin, Rihui Lin, Nuo Chen, Jiaoyan Chen, Yongrui Li, Yu Qi, Guilin Li, Yun Li, Nijun Wang, Qianren School of Computer Science and Engineering Southeast University China Department of Computer Science The University of Manchester United Kingdom Advanced Cognitive AI Lab Huawei Technologies China Key Laboratory of New Generation Artificial Intelligence Technology Southeast University Ministry of Education China
Augmenting Large Language Models (LLMs) for Question Answering (QA) with domain specific data has attracted wide attention. However, domain data often exists in a hybrid format, including text and semi-structured tabl... 详细信息
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Optimizing Transistor Selection Using AH-TOR for Low Noise Amplifier Design in Sensing Applications
Optimizing Transistor Selection Using AH-TOR for Low Noise A...
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International Conference on Sensing Technology, ICST
作者: Dayarnab Baidya Karthick Thiyagarajan Mitradip Bhattacharjee Yang An Department of Electrical Engineering and Computer Science i-Lab Indian Institute of Science Education and Research Bhopal Bhopal Madhya Pradesh India Smart Sensing and Robotics Laboratory (SensR Lab) Centre for Advanced Manufacturing Technology School of Engineering Design and Built Environment Western Sydney University Penrith Australia
The design of a wireless sensor network receiver requires an efficient Low Noise Amplifier (LNA), with the transistor being a critical component that influences its performance. Selecting an optimal transistor for LNA... 详细信息
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Bidirectional Multi-Stack RNNs with Attention for Machine Translation
Bidirectional Multi-Stack RNNs with Attention for Machine Tr...
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On-Line Conference (ONCON), Industrial Electronics Society Annual
作者: Zhiren Chen Ziyu Qiu Nuo Chen the Department of Mechanical & Industrial Engineering University of Toronto Toronto Canada Faculty of Computer Science Dalhousie University Halifax Canada Department of Mechanical Engineering Advanced Control and Mechatronics Lab Dalhousie University Halifax Canada
This project developed a novel attention algorithm for multi-stack bidirectional encoder-decoder RNN (including GRU and LSTM) sequence-to-sequence models, particularly for language translation tasks. The attention mec...
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Analyzing Accuracy of Inverse Power Flow from Noisy Edge Measurements
Analyzing Accuracy of Inverse Power Flow from Noisy Edge Mea...
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2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
作者: Morgenstern, Carl W. Morgenstern, Jamie H. Yang, Rui Cook, Elizabeth Arizona State University Electrical Engineering TempeAZ United States Computer Science University of Washington SeattleWA United States Power Systems Engineering National Renewable Energy Lab GoldenCO United States Advanced Grid Solutions Duquesne Light Company PittsburghPA United States
Distributed energy resources (DERs) are driving the need for detailed distribution circuit models which require accurate impedance estimates. Estimating the impedances can be time consuming and verifying the estimates... 详细信息
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Performance Evaluation of Secure and Privacy-preserving DNS at the 5G Edge
Performance Evaluation of Secure and Privacy-preserving DNS ...
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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)
作者: Yacoub Hanna Diana Pineda Kemal Akkaya Abdullah Aydeger Ricardo Harrilal-Parchment Hamdah Albalawi Advanced Wireless and Security Lab Florida International University Miami FL USA Dept. of Electrical Engineering and Computer Science Florida Institute of Technology Melbourne FL USA
With the improved network performance and efficiency, 5G has been a very appealing alternative for various applications and devices, including but not limited to Industrial IoT (IIoT) applications. However, since IIoT...
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Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance
Score-Based Data Generation for EEG Spatial Covariance Matri...
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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)
作者: Ce Ju Reinmar Josef Kobler Cuntai Guan S-Lab and School of Computer Science and Engineering Nanyang Technological University Singapore RIKEN Artificial Intelligence Project Tokyo and Advanced Telecommunications Research Institute International Kyoto Japan
The efficacy of Electroencephalogram (EEG) classifiers can be augmented by increasing the quantity of available data. In the case of geometric deep learning classifiers, the input consists of spatial covariance matric...
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View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network
View-decoupled Transformer for Person Re-identification unde...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Quan Zhang Lei Wang Vishal M. Patel Xiaohua Xie Jianhuang Lai School of Computer Science and Engineering Sun Yat-Sen University China Department of Electrical and Computer Engineering Johns Hopkins University USA Pazhou Lab (HuangPu) Guangdong China Guangdong Province Key Laboratory of Information Security Technology Guangdong China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
Existing person re-identification methods have achieved remarkable advances in appearance-based identity association across homogeneous cameras, such as ground-ground matching. However, as a more practical scenario, a... 详细信息
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Adaptive energy-preserving algorithms for guiding center system
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Plasma Science and Technology 2023年 第4期25卷 11-22页
作者: 朱贝贝 刘健 张嘉炜 祝爱卿 唐贻发 Department of Applied Mathematics School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083Peopleʼs Republic of China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026Peopleʼs Republic of China Advanced algorithm Joint Lab Shandong Computer Science CenterQilu University of TechnologyJinan 250014Peopleʼs Republic of China The State Key Laboratory of Scientific and Engineering Computing The Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190Peopleʼs Republic of China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049Peopleʼs Republic of China
We develop two types of adaptive energy preserving algorithms based on the averaged vector field for the guiding center dynamics,which plays a key role in magnetized *** adaptive scheme is applied to the Gauss Legendr... 详细信息
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