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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4961-4970 订阅
排序:
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive learning for Disorder Analysis  24
Counterfactual Brain Graph Augmentation Guided Bi-Level Cont...
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24th IEEE international conference on data Mining, ICDM 2024
作者: Dong, Guangwei Luo, Xuexiong Du, Jing Wu, Jia Xue, Shan Yang, Jian Beheshti, Amin School of Computing Macquarie University Australia
Deep learning is increasingly crucial in scientific discovery, accelerating research in various fields. Exploring brain science using deep learning has garnered significant interest, particularly in the recognition of... 详细信息
来源: 评论
machine learning-Powered Intrusion Detection for Network Security  12th
Machine Learning-Powered Intrusion Detection for Network Sec...
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12th international conference on Recent Trends in computing, ICRTC 2024
作者: Nandish, H.D. Rahul, R. Dasari, Hari Charan Kumaran, U. Umah, B. Nagarajan, Senthil Murugan Department of Electronics and Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India Department of Mathematics Faculty of Science Technology and Medicine University of Luxembourg Esch-sur-AlzetteL-4365 Luxembourg
In today's digital age, network security is paramount. This paper introduces a robust web application designed to swiftly identify network attacks and real-time anomalies, enabling users to protect their networks ... 详细信息
来源: 评论
Federated learning for Enhanced ECG Signal Classification with Privacy Awareness  46
Federated Learning for Enhanced ECG Signal Classification wi...
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46th Annual international conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
作者: Phan, Quoc Bao Nguyen, Linh Bui, Ngoc Thang Nguyen, Dinh C. Zhang, Lan Nguyen, Tuy Tan Northern Arizona University School of Informatics Computing and Cyber Systems FlagstaffAZ86011 United States Mayo Clinic Department of Radiology RochesterMN55905 United States The University of Alabama in Huntsville Department of Electrical and Computer Engineering HuntsvilleAL35899 United States
This paper presents a novel approach for classifying electrocardiogram (ECG) signals in healthcare applications using federated learning and stacked convolutional neural networks (CNNs). Our innovative technique lever... 详细信息
来源: 评论
MultiVFL: A Training-Efficient Framework for Multiple Vertical Federated learning  10
MultiVFL: A Training-Efficient Framework for Multiple Vertic...
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10th international conference on Big data computing and Communications, BIGCOM 2024
作者: Huang, Ju Zhang, Lan Ding, Cheng Huang, Dongbo Xu, Lan School of Computer Science and Technology University of Science and Technology of China Hefei China Tencent Shanghai China
Vertical Federated learning (VFL) is an effective paradigm which matches the enterprises' demands of leveraging more valuable features to achieve better model performance while keeping their data decentralized. Tr... 详细信息
来源: 评论
Next-Generation Stock Market Prediction: Integrating CNN and LSTM Model  2
Next-Generation Stock Market Prediction: Integrating CNN and...
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2nd IEEE international conference on data science and Network Security, ICDSNS 2024
作者: Agnihotri, Kuldeep Yadav, Sameer Dahiya, Suman Subramanyam, M. Patil, Harshal Kalra, Gourav Isba Group of Institutes Madhya Pradesh Indore India University of Allahabad Department of Commerce and Business Administration Uttar Pradesh Prayagraj India Universal Ai University Department of Management Maharashtra India Koneru Lakshmaiah Education Foundation Department of Commerce AP Vaddeswaram India Iilm University Department of Computer Science and Engineering Uttar Pradesh Greater Noida India Department of Mechanical Engineering Ambala Mullana India
Stock market forecasting is one of the most challenging tasks in the financial industry due to the non-parametric nature of the stock market's time series, which is also complex, dynamic, chaotic, volatile, noisy,... 详细信息
来源: 评论
Cao Robot for Taiwanese/English Knowledge Graph Application  27
Cao Robot for Taiwanese/English Knowledge Graph Application
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27th conference on the Oriental COCOSDA international Committee for the Co-Ordination and Standardisation of Speech databases and Assessment Techniques, O-COCOSDA 2024
作者: Lee, Chang-Shing Wang, Mei-Hui Tseng, Guan-Ying Yue, Chao-Cyuan Hsieh, Hao-Chun Reformat, Marek National University of Tainan Dept. of Computer Science and Information Engineering Tainan Taiwan University of Alberta Dept. of Electrical and Computer Engineering EdmontonAB Canada
This paper proposes a Content Attention Ontology (CAO) robot for constructing Taiwanese/English Knowledge Graphs (KGs) by prompting audio or texts to Large Language Models (LLMs), including TAIDE, Zephyr, and Llama 3.... 详细信息
来源: 评论
SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers  24
SoCFlow: Efficient and Scalable DNN Training on SoC-Clustere...
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29th ACM international conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
作者: Xu, Daliang Xu, Mengwei Lou, Chiheng Zhang, Li Huang, Gang Jin, Xin Liu, Xuanzhe Peking Univ Minist Educ Key Lab High Confidence Software Technol Beijing Peoples R China Peking Univ Sch Comp Sci Beijing Peoples R China State Key Lab Networking & Switching Technol Beijing Peoples R China Natl Key Lab Data Space Technol & Syst Beijing Peoples R China
SoC-Cluster, a novel server architecture composed of massive mobile system-on-chips (SoCs), is gaining popularity in industrial edge computing due to its energy efficiency and compatibility with existing mobile applic... 详细信息
来源: 评论
Hyperbolic Geometric Latent Diffusion Model for Graph Generation  41
Hyperbolic Geometric Latent Diffusion Model for Graph Genera...
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41st international conference on machine learning, ICML 2024
作者: Fu, Xingcheng Gao, Yisen Wei, Yuecen Sun, Qingyun Peng, Hao Li, Jianxin Li, Xianxian Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin China Institute of Artificial Intelligence Beihang University Beijing China School of Software Beihang University Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing School of Computer Science and Engineering Beihang University Beijing China
Diffusion models have made significant contributions to computer vision, sparking a growing interest in the community recently regarding the application of them to graph generation. Existing discrete graph diffusion m... 详细信息
来源: 评论
Integrating Artificial Intelligence for Sustainable and Adaptable Architecture  2
Integrating Artificial Intelligence for Sustainable and Adap...
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2nd international conference Computational and Characterization Techniques in Engineering and sciences, IC3TES 2024
作者: Lalitha, Valapula Suneetha, Regidi Basi Reddy, A. Mate, Nilesh R. Mujeebunnisa, Syeeda India Sanketika Vidya Parishad Engineering College Department of Ece Visakhapatnam India Mohan Babu University School of Computing Department of Computer Science and Engineering Tirupati India Centre for Distance and Online Education Pune India Cmr University School of Science and Computer Studies Bengaluru India
In nature, flexibility is essential, and AI may enhance it in architecture. The article integrates AI to develop self-learning buildings that can adapt to future obstacles. This research aims to create structures that... 详细信息
来源: 评论
Artificial Intelligence aware Knowledge Graphs and Deep learning-Based Diagnostic Prediction Model in Healthcare  7
Artificial Intelligence aware Knowledge Graphs and Deep Lear...
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7th international conference on Contemporary computing and Informatics, IC3I 2024
作者: Babu, Ramenani Hari Keshta, Ismail Soni, Mukesh Chafik, Berdjouh Byeon, Haewon Rai, Vertika Teerthanker Mahaveer University Teerthanker Mahaveer College of Pharmacy Department of Pharmacy Practice Uttar Pradesh Moradabad India College of Applied Sciences AlMaarefa University Computer Science and Information Systems Department Riyadh Saudi Arabia Dr. D. Y. Patil School of Science & Technology Dr. D. Y. Patil Vidyapeeth Pune India University of El Oued Liap Laboratory PO Box 789 El Oued39000 Algeria Inje University Department of Ai and Software Gimhae50834 Korea Republic of Galgotias University School of Allied Health Sciences Department of Medical Laboratory Technology Uttar Pradesh Greater Noida India
Diagnostic prediction experts use a patient's medical history to anticipate their future diagnosis. Attention mechanisms and recurrent neural networks are typically utilized for this purpose;however, data shortage... 详细信息
来源: 评论