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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"
30762 条 记 录,以下是271-280 订阅
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Comprehensive Framework for Facilitating the Deployment of distributed On-Premise Analytics Applications in Resource-Constraint Environments  20
Comprehensive Framework for Facilitating the Deployment of D...
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ieee 20th international conference on Automation Science and Engineering (CASE)
作者: Schoch, Nicolai Becker, Pascal Ashiwall, Virendra Habib, Andrew ABB Corp Res Ctr Germany Ladenburg Germany
Data Analytics (DA) and Machine Learning (ML) algorithms today are inside many applications and systems. They provide state-of-the-art anomaly detection, pattern recognition, health monitoring, predictive maintenance,... 详细信息
来源: 评论
PTP-Synchronized Tri-Level Sync Generation for Networked Multi-sensor systems  30
PTP-Synchronized Tri-Level Sync Generation for Networked Mul...
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30th ieee international conference on Embedded and Real-Time computing systems and Applications (RTCSA)
作者: Riggers, Christoph Schleusner, Jens Renke, Oliver Blume, Holger Leibniz Univ Hannover Inst Microelect Syst Hannover Germany
Synchronization of sensor devices is crucial for concurrent data acquisition. Numerous protocols have emerged for this task, and for some multi-sensor setups to operate synchronized, a conversion between deployed prot... 详细信息
来源: 评论
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split computing  43
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Netw...
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43rd ieee international conference on distributed computing systems (ICDCS)
作者: Bahadori, Niloofar Matsubara, Yoshitomo Levorato, Marco Restuccia, Francesco Univ Calif Irvine Donald Bren Sch Informat & Comp Sci Irvine CA 92697 USA Northeastern Univ Inst Wireless Internet Things Boston MA 02115 USA
Modern ieee 802.11 (Wi-Fi) networks extensively rely on multiple-input multiple-output (MIMO) to significantly improve throughput. To correctly beamform MIMO transmissions, the access point needs to frequently acquire... 详细信息
来源: 评论
Distributing Compilation to Enable High Throughput Scalable Quantum Workloads  5
Distributing Compilation to Enable High Throughput Scalable ...
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2024 international conference on Quantum computing and Engineering
作者: Waring, Harry J. Oxford Quantum Circuits Reading Berks England
The increasing quality and availability of Quantum Processing Units (QPUs) is fueling a growing interest in quantum computing across many technological areas. The resulting increase in demand for QPU resources necessi... 详细信息
来源: 评论
SensoDat: Simulation-based sensor Dataset of Self-driving Cars  21
SensoDat: Simulation-based Sensor Dataset of Self-driving Ca...
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ieee/ACM 21st international conference on Mining Software Repositories (MSR)
作者: Birchler, Christian Rohrbach, Cyrill Kehrer, Timo Panichella, Sebastiano Zurich Univ Appl Sci Zurich Switzerland Univ Bern Bern Switzerland
Developing tools in the context of autonomous systems [22, 24], such as self-driving cars (SDCs), is time-consuming and costly since researchers and practitioners rely on expensive computing hardware and simulation so... 详细信息
来源: 评论
Hierarchical Communication Optimization for distributed DNN Training  31
Hierarchical Communication Optimization for Distributed DNN ...
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31st ieee international conference on High Performance computing, Data, and Analytics Workshops, HiPCW 2024
作者: Verma, Om Shivam Malakar, Preeti Indian Institute of Technology Kanpur India
Motivation: Large scale deep neural network models use a lot of training data, evident from the large datasets curated for their training, such as ImageNet. Thus it is necessary to use high performance computing (HPC)... 详细信息
来源: 评论
Chord-based distributed middleware architecture for Internet of Things  19
Chord-based distributed middleware architecture for Internet...
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19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)
作者: Fersi, Ghofrane Ben Hammouda, Amine Derbel, Faouzi Univ Sfax Res Lab Dev & Control Distributed Applicat ReDCAD Natl Sch Engn Sfax BP 1173-3038 Sfax Tunisia Leipzig Univ Appl Sci Smart Diagnost & Online Monitoring Leipzig Germany
The outstanding progress in the smart devices as well as the noticeable reduction in their cost has led to the invasion of the Internet of Things (IoT) in our real lives. The multiplicity of the IoT applications and t... 详细信息
来源: 评论
CUPREDS: Multi-sensor Point Cloud Mapping for Local Navigation
CUPREDS: Multi-sensor Point Cloud Mapping for Local Navigati...
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international conference on Autonomous Robot systems and Competitions (ICARSC)
作者: Tojal, Carlos Bento, Luis Conde Peixoto, Paulo Univ Coimbra Inst Syst & Robot Coimbra Portugal Polytech Inst Leiria ESTG Leiria Portugal Univ Coimbra Dept Elect & Comp Engn Coimbra Portugal
Robot mapping usually benefits from the combination of several sensors. However, most algorithms for Simultaneous Localization And Mapping using point clouds only consider a single point cloud as input. There are also... 详细信息
来源: 评论
Malware Detection By distributed systems with Partial Centralization  12
Malware Detection By Distributed Systems with Partial Centra...
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12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications, IDAACS 2023
作者: Savenko, Bohdan Kashtalian, Antonina Lysenko, Sergii Savenko, Oleg Khmelnytskyi National University Khmelnytskyi29016 Ukraine
The paper proposes approach to use new tools for malware detection in corporate networks, which are distributed systems with partial centralization. To make decision about malware presence, the components which includ... 详细信息
来源: 评论
A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning  43
A Prototype-Based Knowledge Distillation Framework for Heter...
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43rd ieee international conference on distributed computing systems (ICDCS)
作者: Lyu, Feng Tang, Cheng Deng, Yongheng Liu, Tong Zhang, Yongmin Zhang, Yaoxue Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China Tsinghua Univ Dept Comp Sci & Technol BNRist Beijing Peoples R China Cent South Univ Big Data Inst Changsha Peoples R China
Federated learning (FL) is an emerging distributed machine learning paradigm, which has shown great potential in collaborative learning with privacy preservation. However, FL clients usually have disparate system reso... 详细信息
来源: 评论