Results 51 to 60 of about 5,420 (166)
IEEE Access, 2020 Online data streaming has become one of the most common data forms in the modern world, which imposes a strong demand for developing hyperparameter optimization techniques for online learning algorithms.
Renlong Jie +3 more
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Free-Streaming Online Tracking in CBM [PDF]
EPJ Web of ConferencesA free-streaming track reconstruction method has been developed for the CBM experiment at GSI. As a reconstruction core, it uses the existing singleevent tracking based on the Cellular Automaton, but the approach to the freestreaming tracking is generic ...
Gorbunov Sergey +2 more
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Online comparison of streaming process discovery algorithms
, 2019 In the active field of process mining, several techniques have been proposed in various areas like process discovery and conformance checking. The integration of data stream mining techniques in process mining has gained popularity in recent years. The ProM framework that enables process mining with streaming data has been advanced to support event ...
Baskar, Kavya, Hassani, Marwan
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COSMN: Clustering-Based Optimization for 360-Degree Live Streaming over Mobile Networks
EAI Endorsed Transactions on Industrial Networks and Intelligent SystemsThe rapid growth of 360-degree video streaming has transformed how users experience immersive content, especially on mobile devices. However, delivering high-quality 360-degree video streams to mobile devices is challenging due to their constrained ...
Hung Nguyen Viet +3 more
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A Granular-Ball Based Online Streaming Feature Selection Algorithm
Contemporary MathematicsOnline Streaming Feature Selection (OSFS) is a feature selection method to identify relevant features in real-time from high-dimensional, continuously generated data streams. Traditional methods require the pre-setting of static parameters and exhibit insufficient robustness.
Jiangdi Yang +4 more
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Parsimonious Network Traffic Modeling By Transformed ARMA Models
IEEE Access, 2014 Generating synthetic data traffic, which statistically resembles its recorded counterpart is one of the main goals of network traffic modeling. Equivalently, one or several random processes shall be created, exhibiting multiple prescribed statistical ...
Markus Laner +2 more
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Task Offloading Online Algorithm for Data Stream Edge Computing
Jisuanji kexue, 2022 With the development of Internet of Things (IoT) technology,its application scenarios have exploded recently,and such applications are generally delay-sensitive and resource-constrained.It is a focused issue in the way of offloading the real-time tasks under the condition of limited resource.Besides,it is a NP-hard combinatorial optimization problem to
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Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks [PDF]
, 2005 We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and propose the interval-list representation. Based on Lossy Counting, we propose ILB, an interval-list-based online mining algorithm for discovering frequent sensor value sets ...
K. K. Loo, Ivy Tong, Ben Kao
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Oculus: faster sequence alignment by streaming read compression
BMC Bioinformatics, 2012 Background Despite significant advancement in alignment algorithms, the exponential growth of nucleotide sequencing throughput threatens to outpace bioinformatic analysis.
Veeneman Brendan A +2 more
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From Sound to Risk: Streaming Audio Flags for Real-World Hazard Inference Based on AI
Journal of Sensor and Actuator NetworksSeconds count differently for people in danger. We present a real-time streaming pipeline for audio-based detection of hazardous life events affecting life and property. The system operates online rather than as a retrospective analysis tool.
Ilyas Potamitis
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