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检索条件"机构=High Performance Computer Laboratory Department of Computer Science and Engineering"
3213 条 记 录,以下是51-60 订阅
排序:
Identification of Key Genes as Potential Drug Targets for Gastric Cancer
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Tsinghua science and Technology 2023年 第4期28卷 649-664页
作者: Md.Tofazzal Hossain Md.Selim Reza Yin Peng Shengzhong Feng Yanjie Wei Center for High Performance Computing Joint Engineering Research Center for Health Big Data Intelligent Analysis TechnologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 100049China Department of Statistics Bangabandhu Sheikh Mujibur Rahman Science and Technology UniversityGopalganj 8100Bangladesh Guangdong Provincial Key Laboratory for Genome Stability and Disease Prevention and Regional Immunity and Diseases Department of PathologyShenzhen UniversityShenzhen 518060China
Gastric cancer(GC)is one of the most common cancers and ranks the third in cancer mortality all over the *** goal of this study was to identify potential hub-genes,highlighting their functions,signaling pathways,and c... 详细信息
来源: 评论
Multiphoton Resonance Meets Tunneling Ionization: high-Efficient Photoexcitation in Strong-Field-Dressed Ions
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Physical Review Letters 2024年 第11期133卷 113201页
作者: Yewei Chen Hongbin Lei Quanjun Wang Hongqiang Xie He Zhang Xu Lu Ning Zhang Shunlin Huang Yuzhu Wu Jianpeng Liu Qian Zhang Yi Liu Zengxiu Zhao Jing Zhao Jinping Yao State Key Laboratory of High Field Laser Physics School of Optical-Electrical and Computer Engineering Department of Physics School of Science Center of Materials Science and Optoelectronics Engineering School of Microelectronics
Tunneling ionization, a fascinating quantum phenomenon, has played the key role in the development of attosecond physics. Upon absorption of a few tens of photons, tunneling ionization creates ions in different excite... 详细信息
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FedCA: Federated learning based on classification layer alignment
FedCA: Federated learning based on classification layer alig...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Gang Liu Jing Jia Rui Mao Yan Ji Guangdong Province Key Laboratory of Popular High Performance Computers College of Computer Science and Software Engineering Shenzhen University Shenzhen China
The issue of data heterogeneity has long been a significant challenge in federated learning, impacting the speed of global model convergence and potentially lowering the overall performance of the global model, thereb... 详细信息
来源: 评论
AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection  37
AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis o...
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37th AAAI Conference on Artificial Intelligence, AAAI 2023
作者: Chen, Haoyang Liu, Shuai Lu, Feng Li, Wei Sheng, Bin Li, Mi Jin, Hai Zomaya, Albert Y. National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Centre for Distributed and High Performance Computing School of Computer Science The University of Sydney Australia Department of Computer Science and Engineering Shanghai Jiao Tong University China Tongji Hospital Tongji Medical College Huazhong University of Science and Technology China
Early diagnosis of osteonecrosis of the femoral head (ONFH) can inhibit the progression and improve femoral head preservation. The radiograph difference between early ONFH and healthy ones is not apparent to the naked... 详细信息
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Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots
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Internet of Things and Cyber-Physical Systems 2024年 第1期4卷 19-23页
作者: Gill, Sukhpal Singh Xu, Minxian Patros, Panos Wu, Huaming Kaur, Rupinder Kaur, Kamalpreet Fuller, Stephanie Singh, Manmeet Arora, Priyansh Parlikad, Ajith Kumar Stankovski, Vlado Abraham, Ajith Ghosh, Soumya K. Lutfiyya, Hanan Kanhere, Salil S. Bahsoon, Rami Rana, Omer Dustdar, Schahram Sakellariou, Rizos Uhlig, Steve Buyya, Rajkumar School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Raygun Performance Monitoring Wellington New Zealand Center for Applied Mathematics Tianjin University Tianjin China Department of Science Kings Education London United Kingdom Cymax Group Technologies BC Canada QM Academy Queen Mary University of London London United Kingdom Jackson School of Geosciences University of Texas at Austin AustinTX United States Centre for Climate Change Research Indian Institute of Tropical Meteorology Pune India Microsoft Hyderabad India Institute for Manufacturing Department of Engineering University of Cambridge Cambridge United Kingdom Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Machine Intelligence Research Labs AuburnWA United States Faculty of Computing and Data Science FLAME University Maharashtra Pune India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India Department of Computer Science University of Western Ontario London Canada Sydney Australia School of Computer Science University of Birmingham United Kingdom School of Computer Science and Informatics Cardiff University Cardiff United Kingdom Distributed Systems Group Vienna University of Technology Vienna Austria Department of Computer Science University of Manchester Oxford Road Manchester United Kingdom Laboratory School of Computing and Information Systems The University of Melbourne Australia
ChatGPT, an AI-based chatbot, offers coherent and useful replies based on analysis of large volumes of data. In this article, leading academics, scientists, distinguish researchers and engineers discuss the transforma... 详细信息
来源: 评论
Manufacturing Process Selection Using Graph Neural Networks: A Novel Approach to CAD Model Semantic Segmentation  4
Manufacturing Process Selection Using Graph Neural Networks:...
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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024
作者: Niu, Shuai Cai, Yishu Li, Feng Li, Yibo Tong, Xiaomeng School of Automation Science and Electrical Engineering Beijing China University of Liverpool Department of Computer Science Liverpool United Kingdom AVIC Shenyang Aircraft Corporation Shenyang China Central South University State Key Laboratory of Precision Manufacturing for Extreme Service Performance Changsha China
Manufacturing process selection, as a core element in the manufacturing workflow, plays a crucial role in improving processing efficiency and manufacturing quality. However, due to the fragmented, experience-based, an... 详细信息
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SpiralShard: highly Concurrent and Secure Blockchain Sharding via Linked Cross-shard Endorsement
arXiv
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arXiv 2024年
作者: Lin, You Li, Mingzhe Zhang, Jin The Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China The Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong The Institute of High Performance Computing A*STAR Singapore
Blockchain sharding improves the scalability of blockchain systems by partitioning the whole blockchain state, nodes, and transaction workloads into different shards. However, existing blockchain sharding systems gene... 详细信息
来源: 评论
Cultural-Aware AI Model for Emotion Recognition
Cultural-Aware AI Model for Emotion Recognition
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Iranian Machine Vision and Image Processing (MVIP)
作者: Mehrdad Baradaran Payam Zohari Abtin Mahyar Hossein Motamednia Dara Rahmati Saeid Gorgin Department of Computer and Data Sciences Shahid Beheshti University Tehran Iran Department of Computer Engineering Khaje Nasir University Of Technology Tehran Iran High Performance Computing Laboratory School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran Faculty of Computer Science and Engineering Shahid Beheshti University Tehran Iran Department of Computer Engineering Chosun University Gwangju South Korea
Emotion AI is a research domain that aims to understand human emotions from visual or textual data. However, existing methods often ignore the influence of cultural diversity on emotional interpretation. In this paper...
来源: 评论
The Positive Impact of Artificial Intelligence on Education  1
The Positive Impact of Artificial Intelligence on Education
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1st International Conference on Global Aeronautical engineering and Satellite Technology, GAST 2024
作者: Gourari, Abdelali El Raoufi, Mustapha Skouri, Mohammed Ben Braim, Abdelghani Ait Ezzini, Mustapha Lahsen, Yassine Ait Achki, Samira Cadi Ayyad University Laboratory of Physics High Energy and Astrophysics Faculty of Science Semlalia Marrakech Morocco Cadi Ayyad University Laboratory of Materials Energy and Environment Faculty of Sciences Semlalia Marrakech Morocco Cadi Ayyad University Faculty of Sciences Semlalia Fluid Mechanics and Energetic Laboratory Marrakesh Morocco Cadi Ayyad University Laboratory of Computer Systems Engineering Faculty of Sciences Semlalia Marrakech Morocco Fstg Computer Science Department Marrakech Morocco
Those interested in artificial intelligence technologies, especially supervised and unsupervised learning in education, know they need considerable data for well-modeled training and high-quality accuracy. However, da... 详细信息
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Disentangled latent factors for muti-cause treatment effect estimation  6
Disentangled latent factors for muti-cause treatment effect ...
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2024 6th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2024
作者: Zhao, Zhuoyue Wang, Haotian Xu, Liyang Wang, Qian Tang, Yuhua Department of Intelligent Data Science National University of Defense Technology Changsha410073 China Intelligent Game and Decision Lab. Academy of Military Science Beijing100071 China Institute for Quantum Information State Key Laboratory of High-Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China
Existing methods estimate treatment effects from observational data and assume that covariates are all confounders. However, observed covariates may not directly represent confounding variables that influence both tre...
来源: 评论