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检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13410 条 记 录,以下是51-60 订阅
排序:
Optimal Scheduling for Integrated Energy System via Model-Based Reinforcement learning  24
Optimal Scheduling for Integrated Energy System via Model-Ba...
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2024 international conference on Artificial Intelligence of Things and computing, AITC 2024
作者: Cheng, Kexin Wan, Jianxiong Liu, Chuyi Sun, Pengfei Li, Leixiao Zhang, Huaqin School of Data Science and Application Inner Mongolia University of Technology Inner Mongolia Autonomous Region Hohhot China Inner Mongolia Key Laboratory of Beijiang Cyberspace Security Inner Mongolia Autonomous Region Hohhot China Research Center of Large-Scale Energy Storage Technologies Ministry of Education of the People's Republic of China Inner Mongolia Autonomous Region Hohhot China
The Integrated Energy System (IES) integrates energy consumption, conversion, and storage to increase the utilization of renewable energy sources and fossil fuels. When using heuristic algorithms and mathematical opti... 详细信息
来源: 评论
SACL: Sequential Augmentation with Curriculum learning in dataset Level  13th
SACL: Sequential Augmentation with Curriculum Learning in Da...
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13th international conference on Natural Language Processing and Chinese computing
作者: Mae, Biao Kong, Fang Soochow Univ Suzhou Peoples R China
Curriculum learning, as a deep learning training strategy, has proven its effectiveness across many Natural Language Processing (NLP) and Multi-modal tasks. However, traditional Curriculum learning is often instance-l... 详细信息
来源: 评论
Use neural Networks to Recognize Students' Handwritten Letters and Incorrect Symbols
Use neural Networks to Recognize Students' Handwritten Lette...
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2024 international conference on Mechatronics and Intelligent Control, ICMIC 2024
作者: Zhu, Jia Jun Yang, Zichuan Hong, Binjie Song, Jiacheng Wang, Jiwei Chen, Tianhao Yang, Shuilan Lan, Zixun Ma, Fei Department of Information and Computing Science Xi'an Jiaotong-Liverpool University Suzhou China School of Engineering Suzhou Centennial College Suzhou China Department of Applied Mathematics Xi'an Jiaotong-Liverpool University Suzhou China GROW Inc. Suzhou China EasyStack Inc. Nanjing China TAL Education Group Beijing China
Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' and the correct option is on... 详细信息
来源: 评论
Fault Detection in Semiconductor Manufacturing Using Advanced machine learning Techniques with Interpretability  4th
Fault Detection in Semiconductor Manufacturing Using Advance...
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4th international conference on Advanced Network Technologies and Intelligent computing-ANTIC-Annual
作者: Srisailam, Swaroop Mandal, Pallab Aditya, Kalur Lalith Pankajakshan, Praveen Rajamani, Kumar T. CropIn Technol Bangalore Karnataka India Indian Inst Technol Kanpur Kanpur Uttar Pradesh India Sri Sathya Sai Inst Higher Learning Anantapur Andhra Pradesh India
Fault detection in semiconductor manufacturing is complex due to class imbalance, missing values, outliers, and high data dimensionality. This study employs advanced machine learning techniques on the SECOM dataset to... 详细信息
来源: 评论
IoT-Based Convolutional Neural Networks in a Farm Pest Detection Using Transfer learning  5th
IoT-Based Convolutional Neural Networks in a Farm Pest Detec...
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5th international conference on computing science, Communication and Security
作者: Jani, Keyurbhai A. Chaubey, Nirbhay Kumar Panchal, Esan Tripathi, Pramod Yagnik, Shruti Gujarat Technol Univ Comp IT Engn Ahmadabad 382424 Gujarat India Ganpat Univ Comp Sci Mahesana 384012 Gujarat India Govt Polytech Informat Technol Gandhinagar 382027 Gujarat India Indus Univ Comp Engn Ahmadabad 382115 Gujarat India
In this study explores agriculture pest detection using transfer learning with IoT devices, evaluating VGG16, VGG19, Inception, and Xception CNN architectures with the agripest dataset. VGG16 and VGG19 show effective ... 详细信息
来源: 评论
Application and research of particle swarm optimization algorithm in cloud data backup  2
Application and research of particle swarm optimization algo...
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2nd international conference on Big data, Computational Intelligence, and Applications, BDCIA 2024
作者: Song, Tao Liu, Na Liaoning Economic Vocational Technological Institute Shenyang110122 China
With the rapid development of cloud computing technology, data security and backup have become an important guarantee for enterprises. The purpose of this study is to optimize the data allocation, storage strategy and... 详细信息
来源: 评论
Construction and realization of modern Chinese vocabulary base driven by big data  2
Construction and realization of modern Chinese vocabulary ba...
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2nd international conference on Big data, Computational Intelligence, and Applications, BDCIA 2024
作者: Luo, Zhong Faculty of Language and Literature Anhui Sanlian University Anhui Hefei230601 China
With the rapid advancement of big data technology, the construction of large-scale databases has become a critical focus in computer science. Existing research primarily explores the integration of big data with vario... 详细信息
来源: 评论
Privacy-Preserving Three-Factors Authentication and Key Agreement for Federated learning  6th
Privacy-Preserving Three-Factors Authentication and Key Agr...
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6th international conference on machine learning for Cyber Security, ML4CS 2024
作者: Wang, Guojun Jiang, Guixin Zhao, Yushuai Ji, Yinglin Yancheng Polytechnic College Yancheng224005 China School of Electronics and Information Engineering Nanjing University of Information Science and Technology Nanjing210044 China
With the development of big data and distributed computing, federated learning has received widespread attention for protecting data privacy. Federated learning is a distributed machine learning framework that allows ... 详细信息
来源: 评论
Adaptive Local Neighborhood Window Laplacian Eigenmaps  24
Adaptive Local Neighborhood Window Laplacian Eigenmaps
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13th international conference on computing and Pattern Recognition, ICCPR 2024
作者: Xu, Jiayi Huang, Qirui Zhao, Yang Pei, Jihong Yang, Xuan College of Electronics and Information Engineering Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen Guangdong China College of Computer Science and Software Engineering Shenzhen University Shenzhen Guangdong China
Manifold learning method is a dimensionality reduction method that treats the data in non-Euclidean space as a Euclidean space in a local scope. However, most existing manifold learning methods cannot obtain the true ... 详细信息
来源: 评论
Modal-Centric Insights Into Multimodal Federated learning for Smart Healthcare: A Survey  24th
Modal-Centric Insights Into Multimodal Federated Learning fo...
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24th international conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024
作者: Wang, Di Liu, Wenjian Gao, Longxiang Qu, Y. Neil. Zhang, Hu Shi, Jihong The Faculty of Data Science City University of Macau Macau China Jinan China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China Medical Integration and Practice Center Shandong University Jinan China
Federated learning (FL) has progressed, providing a distributed mechanism where data need not be consolidated, thereby enhancing the privacy and security of sensitive healthcare data. Recent advancements in multimodal... 详细信息
来源: 评论