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检索条件"任意字段=2019 International Conference on Applied Machine Learning and Data Science, ICAMLDS 2019"
11127 条 记 录,以下是11-20 订阅
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SSDP DDoS Attacks Detection with machine learning Classification Algorithms  5th
SSDP DDoS Attacks Detection with Machine Learning Classifica...
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5th international conference on data science, machine learning and Applications
作者: Dasari, Kishorebabu Reddy, Siddharth Shirley, G. Sharon Keshav Mem Inst Technol Hyderabad Telangana India
Nowadays, a major cyber-attack is known as a Distributed Denial of Service (DDoS). It disrupts the legitimate users to access the server or network resources. Server or network resource is unavailable is not a small i... 详细信息
来源: 评论
Super-Teaching in machine learning  8th
Super-Teaching in Machine Learning
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8th international Symposium on Cyber Security, Cryptology, and machine learning, CSCML 2024
作者: Barak-Pelleg, Dina Berend, Daniel Kontorovich, Aryeh Sami Shamoon College of Engineering Beer Sheva84108 Israel Departments of Mathematics and of Computer Science Ben-Gurion University Beer Sheva84105 Israel Department of Computer Science Ben-Gurion University Beer Sheva84105 Israel
In machine learning, efficiently leveraging large datasets is essential, particularly when computational resources are limited. Sample compression techniques, which involve using carefully chosen subsets of data to tr... 详细信息
来源: 评论
Direct entanglement detection of quantum systems using machine learning
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NPJ QUANTUM INFORMATION 2025年 第1期11卷 1-14页
作者: Huang, Yulei Che, Liangyu Wei, Chao Xu, Feng Nie, Xinfang Li, Jun Lu, Dawei Xin, Tao Southern Univ Sci & Technol Shenzhen Inst Quantum Sci & Engn Shenzhen Peoples R China Southern Univ Sci & Technol Dept Phys Shenzhen Peoples R China Shenzhen Univ Inst Quantum Precis Measurement Coll Phys & Optoelect Engn State Key Lab Radio Frequency Heterogeneous Integr Shenzhen Peoples R China Quantum Sci Ctr Guangdong Hong Kong Macao Greater Shenzhen Peoples R China Int Quantum Acad Shenzhen Peoples R China
Entanglement plays a crucial role in advancing quantum technologies and exploring quantum many-body simulations. Here, we introduce a protocol aided by neural networks for measuring entanglement in both equilibrium an... 详细信息
来源: 评论
Research on the Detection Methods for Changes in the Mangroves of Dongzhaigang, Hainan from 2019 to 2023  24
Research on the Detection Methods for Changes in the Mangrov...
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8th international conference on Electronic Information Technology and Computer Engineering, EITCE 2024
作者: Zhang, Xianyao Lu, Huajun Qiu, Shuailong Liu, Lijin Wu, Zhongqiang School of Information Science and Technology Hainan Normal University Hainan Haikou China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Shenzhen China
This study introduces the research methods for detecting changes in the mangroves of Dongzhaigang, Hainan from 2019 to 2023. Mangrove ecosystems play a crucial role in providing habitats and have ecological and econom... 详细信息
来源: 评论
Optimizing DDoS Attack Detection Using machine learning  2
Optimizing DDoS Attack Detection Using Machine Learning
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2nd international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025
作者: Aggarwal, Saransh Behera, Bhagrajyoti Singh, Murari Kumar Sharma, Ajeet Kumar School of Computing Science and Engineering Sharda University Greater Noida India School of Computer Science and Engineering Sharda University Greater Noida India
The increase in the Distributed Denial of Service attack (DDoS) leads to a significant threat to the network security. Inability to timely and accurately detect DDoS attacks disrupts services offered by companies and ... 详细信息
来源: 评论
Predicting System Performance and Resource Exhaustion with machine learning: Tackling Class Imbalance  1
Predicting System Performance and Resource Exhaustion with M...
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1st international conference on Advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025
作者: Swati, Shipra Kumar, Naween Dubey, Ankit Saini, Vaibhav Sharma, Subham Pranav, Ayushman Bennett University SCSET U.P. Greater Noida India
This study introduces a robust machine learning pipeline for event classification, utilizing a large-scale dataset from eight Google Borg compute clusters (May 2019) available via Google Big- Query. The dataset includ... 详细信息
来源: 评论
Scalable and Interpretable learning Tool Development within Game-based learning Environment: A Case Study of Mission HydroSci  25
Scalable and Interpretable Learning Tool Development within ...
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2025 ACM international conference on Supporting Group Work, GROUP Companion 2025
作者: Lu, Wenyi Computer Science University of Missouri ColumbiaMO United States
This research develops scalable and interpretable learning tools—stealth assessment and a teacher dashboard—using a sophisticated logging system within the Mission HydroSci game-based learning environment. By integr... 详细信息
来源: 评论
Development and Validation of Risk Assessment Model for Pelvic Organ Prolapse Based on A Retrospective Study with machine learning Algorithms
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international UROGYNECOLOGY JOURNAL 2025年 1-9页
作者: Mei, Ling Gao, Linbo Wang, Tao Yang, Dong Chen, Weixing Niu, Xiaoyu Sichuan Univ West China Univ Hosp 2 Dept Obstet & Gynecol Chengdu 610041 Peoples R China Sichuan Univ West China Univ Hosp 2 Ctr Translat Med Key Lab Birth Defects & Related Dis Women & Childr Chengdu 610041 Peoples R China Sichuan Univ West China Univ Hosp 2 Lab Metabol & Gynecol Dis Res Chengdu 610041 Peoples R China Guangzhou AID Cloud Technol Co Ltd Dept Data Sci Guangzhou 510663 Peoples R China
Introduction and HypothesisWe aimed to develop and validate a clinically applicable risk assessment model for identifying women at a high risk of pelvic organ prolapse (POP) based on a retrospective *** study enrolled... 详细信息
来源: 评论
Understanding Stroke Risk Profiles in Middle-Aged Adults: A Genetic Algorithm-Based Feature Selection Aproach
Understanding Stroke Risk Profiles in Middle-Aged Adults: A ...
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18th international Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2025
作者: Gonçalves, Ligia Ferreira de Carvalho Fiorini, Caio Davi Rabelo Franca, Daniel Rocha Noronha, Marta Dias Moreira Song, Mark Alan Junho Galvez, Luis Enrique Zárate Data Science and Artificial Intelligence Pontifícia Universidade Católica de Minas Gerais Rua Claudio Manuel Belo Horizonte Brazil Computer Science Pontifícia Universidade Católica de Minas Gerais Rua Claudio Manuel Belo Horizonte Brazil Institute of Exact Sciences and Computer Science Pontifícia Universidade Católica de Minas Gerais Rua Claudio Manuel Belo Horizonte Brazil
data mining and machine learning techniques have been widely used in the knowledge extraction process of medical databases, one highlight being their use to improve diagnostic systems. Decision trees are supervised bl... 详细信息
来源: 评论
Adversarial learning of Summary Statistics for Approximate Bayesian Computation  24
Adversarial Learning of Summary Statistics for Approximate B...
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8th international conference on Advances in Artificial Intelligence, ICAAI 2024
作者: Adel, Tameem Cambridge United Kingdom
Estimating influential parameters in real-world applications can be challenging, especially in problems where the model likelihood is intractable. To perform inference, the machine learning model should be able to und... 详细信息
来源: 评论