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检索条件"机构=Advanced Computer Engineering Lab"
1353 条 记 录,以下是151-160 订阅
排序:
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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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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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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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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DynaPP: A Dynamic Resolution Model with Patch Packing for Fast Online Video Detection
DynaPP: A Dynamic Resolution Model with Patch Packing for Fa...
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International Joint Conference on Neural Networks (IJCNN)
作者: Changrok So Simon S. Woo Jong Hwan Ko Advanced Robotics Lab CTO Division LG Electronics Seoul South Korea Department of Artificial Intelligence Sungkyunkwan University Suwon South Korea Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea
Online video detection becomes more challenging with higher resolution as computational costs increase proportionally with increasing resolution. To address this issue, we present a novel approach, DynaPP, which arran... 详细信息
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OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
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IEEE Transactions on Multimedia 2025年
作者: Yin, Xu Pan, Fei An, Guoyuan Huo, Yuchi Xie, Zixuan Yoon, Sung-Eui Korea Advanced Institute of Science and Technology School of Computing Daejeon34141 Korea Republic of University of Michigan School of Computer Science Engineering United States Zhejiang University State Key Lab of CAD and CG China Zhejiang Lab 310058 China University of Chinese Academy of Sciences Institute of Computing Technology Beijing100190 China Korea Advanced Institute of Science and Technology Faculty of School of Computing Deajeon34141 Korea Republic of
Existing open-set recognition (OSR) studies typically assume that each image contains only one class label, with the unknown test set (negative) having a disjoint label space from the known test set (positive), a scen... 详细信息
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