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检索条件"机构=Computer Science and Software Engineering"
31448 条 记 录,以下是231-240 订阅
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Two dimensional DOA estimation of coherent signals based on covariance matrix element transformation  24
Two dimensional DOA estimation of coherent signals based on ...
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8th International Conference on Electronic Information Technology and computer engineering, EITCE 2024
作者: Qu, Zhiyu Wu, Xu Geng, Zhenya College of Information Science and Engineering Hohai University Jiangsu Nanjing China College of Computer Science and Software Engineering Hohai University Jiangsu Nanjing China The 49th Research Institute of China Electronics Technology Group Corporation Heilongjiang Harbin China
Traditional Direction of Arrival (DOA) estimation algorithms for coherent signals in uniform circular array (UCA), such as mode space transformation, allow for the adaptation of advanced algorithms initially developed... 详细信息
来源: 评论
DDA: Distillation-Driven Acceleration of the Reverse Diffusion Process for Stochastic Multi-Ship Trajectory Prediction
DDA: Distillation-Driven Acceleration of the Reverse Diffusi...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Ma, Kun Han, Qilong Yao, Jingzheng Wu, Changmao Zhang, Yuntao College of Computer Science and Technology Harbin Engineering University Harbin China Yantai Research Institute Harbin Engineering University Yantai China Institute of Software Chinese Academy of Sciences Beijing China College of Shipbuilding Engineering Harbin Engineering University Harbin China
Modeling stochastic multi-ship trajectories is vital for maritime safety and interaction efficiency. Recent researches show that diffusion models excel in trajectory prediction, surpassing GANs and VAEs in generation ... 详细信息
来源: 评论
Sample Compression for Continual Learning
arXiv
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arXiv 2025年
作者: Comeau, Jacob Bazinet, Mathieu Germain, Pascal Subakan, Cem Computer Science and Software Engineering Department Laval University Canada Mila - Quebec Artificial Intelligence Institute Canada Computer Science and Software Engineering Department Concordia University Canada
Continual learning algorithms aim to learn from a sequence of tasks, making the training distribution non-stationary. The majority of existing continual learning approaches in the literature rely on heuristics and do ... 详细信息
来源: 评论
A novel deep learning approach for investigating liquid fuel injection in combustion system
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Discover Artificial Intelligence 2025年 第1期5卷 1-14页
作者: Inam, Syed Azeem Khan, Abdullah Ayub Ahmed, Noor Mazhar, Tehseen Shahzad, Tariq Khan, Sunawar Saeed, Mamoon M. Hamam, Habib Department of Artificial Intelligence and Mathematical Science Sindh Madressatul Islam University Sindh Karachi Pakistan Department of Computer Science and Information Technology Shaheed Benazir Bhutto University Lyari Karachi Pakistan Department of Computer Science Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology Karachi Pakistan Department of Computer Science School Education Department Government of Punjab Layyah31200 Pakistan School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Department of Computer Engineering COMSATS University Islamabad Sahiwal Campus Sahiwal57000 Pakistan Department of Software Engineering Islamia University of Bahawalpur Bahawalnagar62300 Pakistan Sana’a00967 Yemen Faculty of Engineering Uni de Moncton MonctonNBE1A3E9 Canada Department of Electrical and Electronic Engineering Sciences University of Johannesburg Johannesburg South Africa Av. Grandes Ecoles BP 1989 Libreville Gabon Bridges for Academic Excellence Spectrum Center-ville Tunis Tunisia
The intricacies and instability of introducing cryogenic propellants into the combustion system have piqued the curiosity of scientists studying the procedure. The latest innovation is utilizing data-driven machine le... 详细信息
来源: 评论
Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient Processing of Graph Convolutional Networks  23
Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient ...
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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference
作者: Jiaxian Chen Zhaoyu Zhong Kaoyi Sun Chenlin Ma Rui Mao Yi Wang College of Computer Science and Software Engineering Shenzhen University Shenzhen China
Graph Convolutional Networks (GCNs) are powerful learning approaches for graph-structured data. GCNs are both computing- and memory-intensive. The emerging 3D-stacked computation-in-memory (CIM) architecture provides ... 详细信息
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Dealing with Noisy Data in Federated Learning: An Incentive Mechanism with Flexible Pricing  25
Dealing with Noisy Data in Federated Learning: An Incentive ...
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34th ACM Web Conference, WWW 2025
作者: Wang, Hengzhi Chen, Haoran Ma, Minghe Cui, Laizhong Shenzhen University College of Computer Science and Software Engineering Shenzhen China
Federated Learning (FL) has emerged as a promising training framework that enables a server to effectively train a global model by coordinating multiple devices, i.e., clients, without sharing their raw data. Keeping ... 详细信息
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Leveraging Chain of Thought for Automated Medical Coding of Lymphoma Cases  10th
Leveraging Chain of Thought for Automated Medical Coding o...
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10th China Health Information Processing Conference, CHIP 2024
作者: Song, Wenlong Hu, Jiaxin Li, Zixuan Yuan, Chi College of Computer Science and Software Engineering Hohai University Nanjing China
Objective: This study aims to explore the application of Chain of Thought (CoT) reasoning in automating ICD coding, specifically focusing on lymphoma cases. By leveraging large language models (LLMs) and CoT... 详细信息
来源: 评论
Random Masked Autoencoders Framework for Multi-View Multi-Label Learning with Incomplete Views and Labels  25
Random Masked Autoencoders Framework for Multi-View Multi-La...
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Proceedings of the 2025 5th International Conference on Bioinformatics and Intelligent Computing
作者: Bo Cui Qing Ai Yuting Xu Yiying Wang School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China
Dual incomplete multi-view multi-label learning (DIMVMLL) aims to make accurate predictions for multiple labels by exploiting incomplete multi-view information and incomplete multi-label information from input samples... 详细信息
来源: 评论
Enhanced Federated RL with NEAT, Markov Chains, and Gaussian Processes
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Procedia computer science 2025年 260卷 742-751页
作者: Robert McMenemy Kallinatha H D Hamsaveni M Sachin D N Software Engineer Independent Researcher Glasgow Area Scotland UK Dept of Computer Science and Engineering Siddaganga Institute of Technology Tumakuru India Dept of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru India
Reinforcement Learning (RL) is a machine learning approach in which an agent learns to make decisions in an environment to maximize a cumulative reward. When combined with NeuroEvolution of Augmenting Topologies (NEAT... 详细信息
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MTEE: Multiscale Temporal Entropy Evaluation Paradigm for Heterogeneous Complex Datasets  20th
MTEE: Multiscale Temporal Entropy Evaluation Paradigm for H...
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20th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2024
作者: An, Ledong Wang, Chenyang Huang, Shaoyuan Guo, Yang Zhang, Cheng Qiu, Chao Wang, Xiaofei College of Intelligent and Computing Tianjin University Tianjin China College of Computer Science and Software Engineering Shenzhen University Guangdong Shenzhen518060 China Tianjin University of Finance and Economics Tianjin China Software Technology Company Limited Suzhou215163 China
The rapid advancements in time-series forecasting have led to the emergence of datasets with increasingly diverse characteristics. Researchers typically focus on designing robust algorithms to handle these datasets. H... 详细信息
来源: 评论