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检索条件"机构=Department of Engineering Systems and Automation and Architecture and Computer Technology"
1197 条 记 录,以下是381-390 订阅
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
arXiv
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arXiv 2024年
作者: Xu, Minrui Niyato, Dusit Kang, Jiawen Xiong, Zehui Jamalipour, Abbas Fang, Yuguang Kim, Dong In Shen, Xuemin The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore The School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore The School of Electrical and Information Engineering University of Sydney SydneyNSW2006 Australia Department of Computer Science City University of Hong Kong Kowloon Hong Kong The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, completing sensor data, and making seque... 详细信息
来源: 评论
Hydrone: Modeling of a Hybrid Unmanned Aerial Underwater Vehicle Considering Trans-Media Dynamics
SSRN
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SSRN 2024年
作者: de Oliveira Evald, Paulo Jefferson Dias Brião, Stephanie Loi Aoki, Vivian Misaki da Silva, César Bastos dos Santos Cardoso, Dayana Pinheiro, Pedro Miranda de Oliveira, Felipe Gomes André Barbosa Cunha, Mauro Jorge Drews, Paulo Lilles Intelligent Systems and Control Group Federal University of Pelotas RS Pelotas Brazil Intelligent Robotics and Automation Group Federal University of Rio Grande RS Rio Grande Brazil Department of Computer Engineering and Industrial Automation State University of Campinas SP Campinas Brazil Federal Institute of Education Science and Technology in Rio Grande do Sul RS Pelotas Brazil Institute of Exact Sciences and Technology Federal University of Amazonas Itacoatiara AM Amazonas Brazil Brazil
Research in mobile robotics is growing into applications for difficult-to-access environments, such as in rescue and transport missions. Furthermore, autonomous vehicles can perform data collection in complex approach... 详细信息
来源: 评论
Intelligent Techniques for Prediction of Drilling Rate for Percussive Drills in Topically Weathered Limestone
Intelligent Techniques for Prediction of Drilling Rate for P...
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International Conference on Geotechnical challenges in Mining, Tunneling and Underground structures, ICGMTU 2021
作者: Bhatawdekar, Ramesh Murlidhar Roy, Bishwajit Changtham, Saksarid Khandelwal, Manoj Armaghani, Danial Jahed Mohamad, Edy Tonnizam Pathak, Pranjal Mondal, Subhrojit Kumar, Radhikesh Md Dan, M.F. Department of Mining Engineering Indian Institute of Technology Kharagpur721302 India Faculty of Civil Engineering University Technology Malaysia Johor UTM Skudai81310 Malaysia Department of Computer and Science Engineering Bennett University Uttar Pradesh Greater Noida201310 India Siam City Concrete Company Limited Bang Sue Bangkok10800 Thailand School of Engineering Information Technology and Physical Sciences Federation University Ballarat Australia Department of Urban Planning Engineering Networks and Systems Institute of Architecture and Construction South Ural State University 76 Lenin Prospect Chelyabinsk454080 Russia NIT Patna800005 India Faculty of Civil and Built Environment University Tun Hussein Onn Malaysia Johor Batu Pahat86400 Malaysia
Physico-mechanical properties of rocks have a direct correlation with the drilling rate of percussive drill. The prediction of drilling rate is important for the deployment of drills during the planning stage. In trop... 详细信息
来源: 评论
Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approaches
arXiv
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arXiv 2022年
作者: Huang, Xumin Zhong, Weifeng Nie, Jiangtian Hu, Qin Xiong, Zehui Kang, Jiawen Quek, Tony Q.S. School of Automation Guangdong University of Technology Guangzhou China School of Computer Science and Engineering Nanyang Technological University Singapore Department of Computer and Information Science Indiana University Purdue University Indianapolis United States Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore
Metaverse as the next-generation Internet provides users with physical-virtual world interactions. To improve the quality of immersive experience, users access to Metaverse service providers (MSPs) and purchase bandwi... 详细信息
来源: 评论
ICSGD-Momentum: SGD Momentum Based on Inter-gradient Collision
ICSGD-Momentum: SGD Momentum Based on Inter-gradient Collisi...
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IEEE International Conference on Industrial Informatics (INDIN)
作者: Weidong Zou Weipeng Cao Yuanqing Xia Bineng Zhong Dachuan Li School of Automation Beijing Institute of Technology Beijing China Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) Shenzhen China Guangxi Key Lab of Multi-source Information Mining & Security Guangxi Normal University Guilin China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China
Deep neural networks (DNNs) are widely used in fields like computer vision and natural language processing. A key component of DNN training is the optimizer. SGD-Momentum is popular in many DNN methodologies, such as ... 详细信息
来源: 评论
Mixture of Experts for Intelligent Networks: A Large Language Model-enabled Approach
Mixture of Experts for Intelligent Networks: A Large Languag...
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International Wireless Communications and Mobile Computing Conference, IWCMC
作者: Hongyang Du Guangyuan Liu Yijing Lin Dusit Niyato Jiawen Kang Zehui Xiong Dong In Kim School of Computer Science and Engineering Nanyang Technological University Singapore Singapore State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China School of Automation Guangdong University of Technology and Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Singapore Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea
Optimizing various wireless user tasks poses a significant challenge for networking systems because of the expanding range of user requirements. Despite advancements in Deep Reinforcement Learning (DRL), the need for ... 详细信息
来源: 评论
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
arXiv
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arXiv 2023年
作者: Wang, Rui Zhou, Zhiming Zhang, Tao Wang, Ling Xu, Xin Liao, Xiangke Li, Kaiwen The College of Systems Engineering National University of Defense Technology Changsha410073 China The Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology HKLMSI2T Changsha410073 China Institute of Automation Chinese Academy of Sciences Beijing100190 China The College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China Department of Automation Tsinghua University Beijing100084 China The College of Computer Science and Technology National University of Defense Technology Changsha410073 China
Branch-and-bound is a typical way to solve combinatorial optimization problems. This paper proposes a graph pointer network model for learning the variable selection policy in the branch-and-bound. We extract the grap... 详细信息
来源: 评论
Code Clone Detection Using Boosting Algorithms
Code Clone Detection Using Boosting Algorithms
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Advanced Research in Computing (ICARC), International Conference on
作者: M.V. Thanoshan Kuhaneswaran Banujan B.T.G.S Kumara S. Prasanth Zhenni Li Incheon Paik Department of Computing and Information Systems Sabaragamuwa University of Sri Lanka Belihuloya Sri Lanka Department of Physical Sciences and Technologies Sabaragamuwa University of Sri Lanka Belihuloya Sri Lanka School of Automation Guangdong University of Technology Guangzhou China School of Computer Science and Engineering University of Aizu Aizu-Wakamatsu Japan
To increase programming productivity, developers often copy and paste the source code with or without changing it. However, they may also introduce significant downsides in the long run, including complicating the sof...
来源: 评论
INSTANCE SEGMENTATION AND TEETH CLASSIFICATION IN PANORAMIC X-RAYS
arXiv
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arXiv 2024年
作者: Budagam, Devichand Ghosh, Sayan Imanbayev, Azamat Zhanatuly Kaplun, Dmitrii Rychenkov, Artem Sinitca, Aleksandr Kumar, Ayush Shrivastav, Anuj Akhmetov, Iskander Rafailovich Antonov, Sergey Cyganov, Gleb Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Kharagpur India Department of Chemical Engineering Indian Institute of Technology Kharagpur Kharagpur India School of IT and Engineering Kazakh-British Technical University Almaty Kazakhstan Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Processes St. Petersburg Electrotechnical University"LETI" St. Petersburg Russia Centre for Digital Telecommunication Technologies St. Petersburg Electrotechnical University"LETI" St. Petersburg Russia Department of Humanities and Social Sciences Indian Institute of Technology Kharagpur Kharagpur India Department of Architecture and Regional Planning Indian Institute of Technology Kharagpur Kharagpur India Faculty of Digital Transformation ITMO University St. Petersburg Russia
Teeth segmentation and recognition are critical in various dental applications and dental diagnosis. Automatic and accurate segmentation approaches have been made possible by integrating deep learning models. Although... 详细信息
来源: 评论
Regularly Truncated M-estimators for Learning with Noisy Labels
arXiv
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arXiv 2023年
作者: Xia, Xiaobo Lu, Pengqian Gong, Chen Han, Bo Yu, Jun Yu, Jun Liu, Tongliang The Sydney AI Center School of Computer Science Faculty of Engineering The University of Sydney DarlingtonNSW2008 Australia The Australian AI Institute Faculty of Engineering and IT The University of Technology Sydney BroadwayNSW2007 Australia The PCA Lab The Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China The Department of Computing Hong Kong Polytechnic University Hong Kong The Department of Computer Science Hong Kong Baptist University Hong Kong The School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China The Department of Automation University of Science and Technology of China Hefei230026 China
The sample selection approach is very popular in learning with noisy labels. As deep networks "learn pattern first", prior methods built on sample selection share a similar training procedure: the small-loss... 详细信息
来源: 评论