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检索条件"机构=Cloud Computing and Distributed Systems Laboratory School of Computing and Information Systems"
1211 条 记 录,以下是171-180 订阅
排序:
Coordinating vessel traffic to improve safety and efficiency  16
Coordinating vessel traffic to improve safety and efficiency
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16th International Conference on Autonomous Agents and Multiagent systems, AAMAS 2017
作者: Teng, Teck-Hou Chuin, Hoong Kumar, Akshat Urban Computing and Engineering Corporate Laboratory 71 Stamford Road 178895 Singapore Lau School of Information Systems 80 Stamford Road 178902 Singapore
Global increase in trade leads to congestion of maritime traffic at the ports. This often leads to increased maritime incidents or near-miss situations. To improve maritime safety while maintaining efficiency, movemen... 详细信息
来源: 评论
An Integrated Approach for Fault Detection in Industrial Processes Using Approximate Entropy and Slow Feature Analysis  43
An Integrated Approach for Fault Detection in Industrial Pro...
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43rd Chinese Control Conference, CCC 2024
作者: Yang, Chuangyan Li, Peng Wu, Jiande Lang, Xun Ai, Mingxi Yunnan University School of Information Science and Engineering Yunnan Kunming650500 China Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing China
Multivariate statistical process monitoring has been widely used in industry process. However, traditional algorithms often ignore the complexity dynamic features of actual industry process. This study proposes a nove... 详细信息
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An improved variational mode decomposition with adaptive initial center frequency for bearing fault feature extraction
An improved variational mode decomposition with adaptive ini...
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2024 China Automation Congress, CAC 2024
作者: Wang, Ying Lang, Xun Wu, Jiande Li, Yuzhen Li, Peng Zhang, Yufeng Department of Electronic Engineering Information School Yunnan University Kunming China Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan University Kunming China
Variational mode decomposition (VMD) is extensively utilized in the field of industrial signal processing due to its superior anti-mixing and denoising capabilities. However, in practice, the performance of VMD is sig... 详细信息
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DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum cloud computing
DRLQ: A Deep Reinforcement Learning-based Task Placement for...
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IEEE International Conference on cloud computing, cloud
作者: Hoa T. Nguyen Muhammad Usman Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne Parkville Victoria Australia School of Physics The University of Melbourne Parkville Victoria Australia Data61 CSIRO Clayton Victoria Australia
The quantum cloud computing paradigm presents unique challenges in task placement due to the dynamic and heterogeneous nature of quantum computation resources. Traditional heuristic approaches fall short in adapting t... 详细信息
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Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction
Comparative Analysis of Machine Learning Models for Diabetes...
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2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
作者: Ismail, Leila Materwala, Huned United Arab Emirates University College of Information Technology Distributed Computing and Systems Research Laboratory Department of Computer Science and Software Engineering Abu-Dhabi Al-Ain15551 United Arab Emirates
Diabetes is one of the top 10 causes of death worldwide. Health professionals are aiming for machine learning models to support the prognosis of diabetes for better healthcare and to put in place an effective preventi... 详细信息
来源: 评论
A Machine Learning-Based Elastic Strategy for Operator Parallelism in a Big Data Stream computing System  1
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12th International Conference on Broadband Communications, Networks, and systems, BROADNETS 2021
作者: Li, Wei Sun, Dawei Gao, Shang Buyya, Rajkumar School of Information Engineering China University of Geosciences Beijing100083 China School of Information Technology Deakin University MelbourneVIC3216 Australia Laboratory School of Computing and Information Systems The University of Melbourne Melbourne Australia
Elastic scaling in/out of operator parallelism degree is needed for processing real time dynamic data streams under low latency and high stability requirements. Usually the operator parallelism degree is set when a st... 详细信息
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iQuantum: A Case for Modeling and Simulation of Quantum computing Environments
iQuantum: A Case for Modeling and Simulation of Quantum Comp...
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Quantum Software (QSW), IEEE International Conference on
作者: Hoa T. Nguyen Muhammad Usman Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne Parkville Victoria Australia School of Physics The University of Melbourne Parkville Victoria Australia Data61 CSIRO Clayton Victoria Australia
Today’s quantum computers are primarily accessible through the cloud and are expected to be deployed in edge networks in the near future. With the rapid advancement and proliferation of quantum computing research wor...
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A Topology-Aware Scheduling Strategy for distributed Stream computing System  1
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12th International Conference on Broadband Communications, Networks, and systems, BROADNETS 2021
作者: Li, Bo Sun, Dawei Chau, Vinh Loi Buyya, Rajkumar School of Information Engineering China University of Geosciences Beijing100083 China School of Information Technology Deakin University GeelongVIC3216 Australia Laboratory School of Computing and Information Systems The University of Melbourne Parkville Australia
Reducing latency has become the focus of task scheduling research in distributed big data stream computing systems. Currently, most task schedulers in big data stream computing systems mainly focus on tasks assignment... 详细信息
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Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation
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Procedia computer science 2023年 220卷 339-347页
作者: Leila Ismail Muhammad Danish Waseem Clouds and Distributed Computing and Systems (CLOUDS) Lab School of Computing and Information Systems Faculty of Engineering and Information Technology The University of Melbourne Australia. Intelligent Distributed Computing and Systems (INDUCE) Research Laboratory Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University UAE. National Water and Energy Center United Arab Emirates University UAE.
The outbreak of the COVID-19 pandemic revealed the criticality of timely intervention in a situation exacerbated by a shortage in medical staff and equipment. Pain-level screening is the initial step toward identifyin... 详细信息
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A Data Stream Prediction Strategy for Elastic Stream computing systems  1
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12th International Conference on Broadband Communications, Networks, and systems, BROADNETS 2021
作者: Zhang, Hanchu Sun, Dawei Sajjanhar, Atul Buyya, Rajkumar School of Information Engineering China University of Geosciences Beijing100083 China School of Information Technology Deakin University GeelongVIC3216 Australia Laboratory School of Computing and Information Systems The University of Melbourne Parkville Australia
In a distributed stream processing system, elastic resource provisioning/scheduling is the main factor that affects system performance and limits system applications. However, in the data stream computing platform, re... 详细信息
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