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检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13417 条 记 录,以下是4921-4930 订阅
排序:
Bio-inspired Intrusion Detection System for Internet of Things Networks Security
Bio-inspired Intrusion Detection System for Internet of Thin...
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2024 Cognitive Models and Artificial Intelligence conference, AICCONF 2024
作者: Harbi, Yasmine Merat, Salsabyl Aliouat, Zibouda Harous, Saad Ferhat Abbas University Setif Algeria Computer Science College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates
The contemporary era has witnessed substantial growth in the Internet of Things (IoT), accompanied by an escalation in data volume due to the proliferation of Internet-connected devices. Unfortunately, this surge has ... 详细信息
来源: 评论
Federated learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram data  24
Federated Learning and Differential Privacy Techniques on Mu...
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8th international conference on Medical and Health Informatics, ICMHI 2024
作者: Vikhyat, Agrawal Sunil, Kalmady Venkataseetharam, Manoj Malipeddi Manisimha, Varma Manthena Weijie, Sun Islam, Saiful Abram, Hindle Padma, Kaul Russell, Greiner Canadian VIGOUR Centre University of Alberta Canada Department of Physics IIT Bombay India Department of Computing Science University of Alberta Canada Canadian VIGOUR Centre Department of Medicine University of Alberta Canada Department of Computer Science and Engineering IIT Kharagpur India
This research paper explores ways to apply Federated learning (FL) and Differential Privacy (DP) techniques to population-scale Electrocardiogram (ECG) data. The study learns a multi-label ECG classification model usi... 详细信息
来源: 评论
Deep Interpretable Component Decoupled Dictionary Neural Network for Image Denoising in Industrial Cyber-Physical System  16
Deep Interpretable Component Decoupled Dictionary Neural Net...
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international conferences on Internet of Things (iThings) / Green computing and Communications (GreenCom) / Cyber, Physical and Social computing (CPSCom) / Smart data, Smartdata and Congress on Cybermatics (Cybermatics)
作者: Deng, Lizhen Pan, Yushan Xu, Guoxia Yan, Taiyu Wang, Zhongyang Zhu, Hu Nanjing Univ Posts & Telecommun Sch Commun & Informat Engn Nanjing Peoples R China Xian Jiaotong Liverpool Univ Dept Comp Suzhou Peoples R China Xidian Univ Sch Cyber Engn Xian Peoples R China
Image denoising techniques are pivotal in preprocessing noisy images, greatly enhancing the quality of visual data in applications within the realm of Cyber-Physical Systems (CPS). Take scenarios like autonomous vehic... 详细信息
来源: 评论
DiffGSL: A Graph Structure learning Diffusion Model for Dynamic Spatio-Temporal Forecasting
DiffGSL: A Graph Structure Learning Diffusion Model for Dyna...
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2024 IEEE international conference on Big data, Bigdata 2024
作者: Jung, Chanyoung Jang, Yun Sejong University Seoul Korea Republic of
Researchers have been actively engaged in recent studies utilizing the denoising diffusion probabilistic model (DDPM), a generative model that shows stable convergence during training, unlike other generative models, ... 详细信息
来源: 评论
Meta-learning Algorithms for Few-Shot Classification in Imbalanced datasets  4
Meta-Learning Algorithms for Few-Shot Classification in Imba...
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4th international conference on Technological Advancements in Computational sciences, ICTACS 2024
作者: Kumar, Raman Fezaa, Laith H. Alkhayyat, Ahmed Pareek, Bhagwati Lal Kumar, Jatinder Jadhav, Abhilasha School of Mechanical Engineering Rayat Bahra University Mohali India Al-Zahrawi University College Department of Optical Techniques Karbala Iraq College of Technical Engineering The Islamic University Najaf Iraq Sangam University Rajasthan Bhilwara India Chandigarh Engineering College Chandigarh Group of Colleges Department of Computer Science Engineering Jhanjeri Punjab Mohali140307 India Nims School of Computing Science and Artificial Intelligence Nims University Rajasthan Jaipur India
This work aims to examine meta-learning on few-shot learning schemes, specifically on the assessment of how well current approaches manage imbalance in the examined datasets. Meta-learning to improve model performance... 详细信息
来源: 评论
MCDPS: Enhancing Clinical Decision Support for Multiple Chronic Disease Prediction Systems Using Ensemble machine learning Approaches  4th
MCDPS: Enhancing Clinical Decision Support for Multiple Chro...
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4th international conference on Intelligent Systems and Pattern Recognition-ISPR
作者: Kumar, Kanak Verma, Anshul Verma, Pradeepika Banaras Hindu Univ Dept Comp Sci Varanasi 221005 Uttar Pradesh India Indian Inst Technol Technol Innovat Hub Patna 801103 Bihar India
People today suffer from various chronic diseases due to lifestyle choices and environmental conditions. Early prediction of these diseases is crucial to prevent them from worsening. However, it is often challenging f... 详细信息
来源: 评论
Towards an Efficient DDoS Attack Detection in SDN: An Approach with CNN-GRU Fusion  4
Towards an Efficient DDoS Attack Detection in SDN: An Approa...
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4th international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2024
作者: Goud, Konda Srikar Rao, Giduturi Srinivasa Gitam University Gitam School of Technology Department of Computer Science and Engineering AP Visakhapatnam India Bvrit Hyderabad College of Engineering for Women Telangana Hyderabad India
The emergence of Distributed Denial of Service (DDoS) attacks presents a significant risk to Software-Defined Networking (SDN) services. This study focuses on developing an effective method for detecting DDoS attacks ... 详细信息
来源: 评论
Edge Energy Orchestration  20th
Edge Energy Orchestration
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20th international conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2024
作者: Kumar, Vijay Valizadeh, Nima Petri, Ioan Rana, Omer Nag, Ambarish Zisman, Sagi Tripp, Charles Paul, Shuva School of Computer Science and Informatics Cardiff University Cardiff United Kingdom School of Engineering Cardiff University Cardiff United Kingdom Colorado United States Colorado United States
Edge computing devices have increased in number and capability over recent years. The ability to process data and execute machine learning in proximity to data generation and collection sources provides several advant... 详细信息
来源: 评论
Knowledge-Enhanced Contextual Auction Design Based on Deep Neural Networks
Knowledge-Enhanced Contextual Auction Design Based on Deep N...
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2024 IEEE international conference on Cognitive computing and Complex data
作者: Liang, Mingxuan Guo, Zhibo Zhu, Junwu Zhang, Yuanyuan Li, Xueqing Yangzhou Univ Dept Informat Engn Yangzhou Jiangsu Peoples R China
The optimal auction represents a fundamental challenge in auction design, primarily focused on maximizing the seller's revenue. Recently, context-aware auction design has gained traction as it enhances the model&#... 详细信息
来源: 评论
FedZipper: A Layer-wise Quantization Compression Framework for Federated learning with Statistical Heterogeneity  20th
FedZipper: A Layer-wise Quantization Compression Framework f...
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20th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2024
作者: Du, Haizhou Peng, Yan Shanghai University of Electric Power Shanghai China
Quantization is a common compression scheme for reducing traffic in federated learning that converts data from floating-point numbers to a low-precision representation. Existing quantization approaches typically apply... 详细信息
来源: 评论