Výsledky vyhledávání - "streaming data"

Energy-Efficient Federated Edge Learning With Streaming Data: A Lyapunov Optimization Approach

Autoři: Hu, Chung-Hsuan Chen, Zheng Larsson, Erik G

Zdroj: IEEE Transactions on Communications. 73(2):1142-1156

Témata: Training, Resource management, Computational modeling, Energy consumption, Optimization, Performance evaluation, Training data, Federated learning, energy efficiency, streaming data, scheduling, resource allocation, Lyapunov optimization

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-212387
https://liu.diva-portal.org/smash/get/diva2:1945803/FULLTEXT01.pdf

Optimal Subdata Selection for Prediction Based on the Distribution of the Covariates

Autoři: Alvaro Cia-Mina Jesus Lopez-Fidalgo Weng Kee Wong a další

Přispěvatelé: Alvaro Cia-Mina Jesus Lopez-Fidalgo Weng Kee Wong a další

Zdroj: Dadun. Depósito Académico Digital de la Universidad de Navarra
Universidad de Navarra

Témata: Optimization, D Optimality, Reviews, Simple Linear Regression Model, Truncated Normal, Proportion Of Data, Directional Derivative, Data Streams, Predictive Models, Equivalence Theorem, Training, Simple Random Sampling, Fisher Information, Exact Design, Quadratic Model, D Optimal Design, Covariance Matrices, Density Functional Theory, Labeling Cost, Design Criteria, Optimization Criteria, Bigger Sample, Data Models, X Random, Prediction Error, Information Matrix, I Optimality, Streaming Data, Subsampling Method, Acceptance Region, Vectors, Probability Distribution, Mean Squared Prediction Error, Thermal Comfort, Optimization Problem, Probability Density Function, Distribution Of Covariates, Optimal Selection, Linear Model, Type Of Design, Subsample Size, Marginal Density, Sequential Selection, Subsampling, Optimal Approximate Designs, Joint Distribution

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10171/115920

ESOD: An Edge Streaming Data Outlier Detection Framework for IoT Platforms

Autoři: Xhensilda Allka Pau Ferrer-Cid Jose M. Barcelo-Ordinas a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Témata: Edge intelligence (EI), Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica, Streaming data, Internet of Things, Edge computing, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Outlier detection (OD)

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/2117/442252
https://doi.org/10.1109/jiot.2025.3579057

A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests

Autoři: Subhadip Bandyopadhyay Joy Bose Sujoy Roy Chowdhury

Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 10, Iss 3, Pp 777-796 (2025)

Témata: telecom network monitoring, FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, real-time anomaly detection, I.2.6, I.2.7, G.3, 62M10, 62P30, 68T07, data drift detection, H.2.8, H.3.3, Machine Learning (cs.LG), hybrid machine learning models, ai powered data drift detection, QA1-939, hierarchical temporal memory (htm), time series, Mathematics, sequential probability ratio test (sprt), streaming data analysis

Přístupová URL adresa: http://arxiv.org/abs/2504.18599
https://doaj.org/article/64d306aa2fe347eb8fa0d5c9f0c2af63
https://doi.org/10.33889/IJMEMS.2025.10.3.039

Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning

Autoři: Depeng Li Zhigang Zeng Wei Dai a další

Zdroj: IEEE Transactions on Knowledge and Data Engineering. 37:3240-3252

Témata: complementary learning system, class-incremental learning, streaming data modeling, Non-stationary data

Popis souboru: application/pdf

Přístupová URL adresa: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105000289812&origin=inward
https://hdl.handle.net/10576/64812

Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework

Autoři: Hao Miao Yan Zhao Chenjuan Guo a další

Zdroj: Miao, H, Zhao, Y, Guo, C, Yang, B, Zheng, K & Jensen, C S 2025, 'Spatio-Temporal Prediction on Streaming Data : A Unified Federated Continuous Learning Framework', IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 4, pp. 2126-2140. https://doi.org/10.1109/TKDE.2025.3528876

Témata: Spatio-temporal prediction, federated continuous learning, streaming data

Přístupová URL adresa: http://www.scopus.com/inward/record.url?scp=86000435112&partnerID=8YFLogxK
https://vbn.aau.dk/da/publications/3db8bec5-9eeb-44fa-a8fb-e7b8399a1758
https://doi.org/10.1109/TKDE.2025.3528876

Visualizing Streaming Data in Industrial Scale IoT Systems

Autoři: Antero Taivalsaari Tommi Mikkonen

Zdroj: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. :663-670

Témata: IoT, message brokers, edge computing, programmable world, reunalaskenta, Internet of Things, data visualization, esineiden internet, fog computing, streaming data, stream processing, tietojärjestelmät

Popis souboru: application/pdf; fulltext

Přístupová URL adresa: http://urn.fi/URN:NBN:fi:jyu-202505194336

On Evaluation of Data Stream Clustering Algorithms: A Survey

Autoři: Nordahl, Christian Boeva, Veselka, Professor Grahn, Håkan a další

Zdroj: IEEE Access. 13:139524-139546

Témata: Cluster analysis, cluster validation indices, cluster validation measures, clustering, data stream clustering, data stream mining, data streams, evaluation, review, streaming data, Clustering algorithms, Data mining, Iterative methods, Quality control, Cluster validation, Cluster validation index, Cluster validation measure, Clusterings, Data stream, Data streams mining, Validation index, Reviews

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28542
https://doi.org/10.1109/ACCESS.2025.3596435

Adapting Predictive Models for Dynamic Cybersecurity: A Machine Learning Approach to Concept and Feature Drift

Autoři: Mendes, Teresa Maria Gonçalves Henriques, Roberto André Pereira RUN

Přispěvatelé: Mendes, Teresa Maria Gonçalves Henriques, Roberto André Pereira RUN

Témata: concept drift, feature drift, intrusion detection, incremental learning, hybrid models, ADWIN, KS test, streaming data, SDG 9 - Industry, innovation and infrastructure, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/190478

Efficient ETL workflows for big data: Handling massive datasets at scale

Autoři: Ashok, Sangeetha

Zdroj: International Journal of Science and Research Archive. 14:1567-1574

Témata: FOS: Computer and information sciences, Etl Workflows, Real-Time Big Data Processing, Streaming Data Ingestion, Serverless Etl, Distributed Computing, Cloud-Based Etl Solutions

Streaming Compression of Scientific Data via Weak-SINDy: Streaming compression of scientific data via weak-SINDy

Autoři: Benjamin P. Russo M. Paul Laiu Richard Archibald

Zdroj: SIAM Journal on Scientific Computing. 47:C207-C234

Témata: FOS: Computer and information sciences, Artificial intelligence, Computer Science - Machine Learning, Ridge regression, shrinkage estimators (Lasso), Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations, Dynamical Systems (math.DS), streaming data, online compression, surrogate modeling, Machine Learning (cs.LG), Approximation by polynomials, proper orthogonal decomposition, 37M10, 62J07, 65L60, 41A10, 68T99, 68V99, FOS: Mathematics, Time series analysis of dynamical systems, Mathematics - Dynamical Systems, Computer science support for mathematical research and practice

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2308.14962

Adaptive-Delta ADWIN for Balancing Sensitivity and Stability in Streaming IDS

Autoři: Rodney Buang Sebopelo

Zdroj: Journal of Information Systems and Informatics, Vol 7, Iss 3, Pp 2876-2897 (2025)

Témata: concept drift, intrusion detection system, streaming data, controllers, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://journal-isi.org/index.php/isi/article/view/1260; https://doaj.org/toc/2656-5935; https://doaj.org/toc/2656-4882

Přístupová URL adresa: https://doaj.org/article/bb7aa55ef695498b915fb947701b4a66

A Feature Evolution Aware Classification Framework for Streaming Data using Dynamic Autoencoder and Ensembled Learning.

Autoři: Jafseer KT Shailesh S Sreekumar A

Zdroj: Journal of Universal Computer Science, Vol 31, Iss 11, Pp 1248-1271 (2025)

Témata: Streaming Data, Features Evolution, Data Stream Cl, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://lib.jucs.org/article/130450/download/pdf/; https://lib.jucs.org/article/130450/download/xml/; https://lib.jucs.org/article/130450/; https://doaj.org/toc/0948-6968

Přístupová URL adresa: https://doaj.org/article/4b014b505b2348a8a0b66819b7967bff

Transformer-based latency prediction for stream processing task

Autoři: Zheng Chu Baozhu Li Changtian Ying

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 5, Pp 1-18 (2025)

Témata: Streaming data, Stream processing task, Latency prediction, Transformer, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Přístupová URL adresa: https://doaj.org/article/44371836e08043099a149eee59071e53

An effective Federated Learning system for Industrial IoT data streaming

Autoři: Yi Wu Hongxu Yang Xidong Wang a další

Zdroj: Alexandria Engineering Journal, Vol 105, Iss, Pp 414-422 (2024)

Témata: Streaming data, Pairwise similarity, 0202 electrical engineering, electronic engineering, information engineering, IIoT, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), Federated Learning

Přístupová URL adresa: https://doaj.org/article/24a5318071a04511ac0e45e77aa2bccb

Online Event Detection in Streaming Time Series: Novel Metrics and Practical Insights

Autoři: Lima, Janio Tavares, Lucas Pacitti, Esther a další

Přispěvatelé: Lima, Janio Tavares, Lucas Pacitti, Esther a další

Zdroj: 2024 International Joint Conference on Neural Networks (IJCNN). :1-8

Témata: Time series, Streaming data, Event detection, [INFO] Computer Science [cs]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal-lirmm.ccsd.cnrs.fr/lirmm-04674128v1/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-04674128v1
https://doi.org/10.1109/ijcnn60899.2024.10650809

EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data

Autoři: Angelova, Milena Boeva, Veselka Abghari, Shahrooz

Zdroj: 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). :1-10

Témata: Concept drifts, Clustering algorithms, Digital storage, Clustering model, Computer Sciences, Computational capacity, Storage capacity, data mining, concept drift, smart monitoring, Computational efficiency, Limited storage, Datavetenskap (datalogi), evolving clustering, Streaming data, Resource aware, Resource-efficient

Popis souboru: application/pdf

Přístupová URL adresa: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-26789

An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation

Autoři: Wei Cai Fei Yang Bo Yao a další

Zdroj: Journal of Big Data, Vol 12, Iss 1, Pp 1-33 (2025)

Témata: Digital twin, K-means clustering, Big data, Streaming data, Initial cluster centers, Density peaks, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2196-1115

Přístupová URL adresa: https://doaj.org/article/5961c5b0e73c4d9faf4e94ad37480b60

Blockchain-based Highly Trusted Query Verification Scheme for Streaming Data

Autoři: YANG Fan, SUN Yi, LIN Wei, GAO Qi

Zdroj: Jisuanji kexue, Vol 52, Iss 4, Pp 352-361 (2025)

Témata: data integrity verification, streaming data, authenticated data structure(ads), blockchain technology, chameleon authentication tree, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-4-352.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/03117b7df813433eafd9475dae3b898f

DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks

Autoři: Havers, Bastian Duvignau, Romaric Najdataei, Hannaneh a další

Zdroj: AutoSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2 Molnbaserade produkter och produktion (FiC) HAREN: Självdistribuerad och anpassningsbar dataströmningsanalys i dimman Future Generation Computer Systems. 107:1-17

Témata: Streaming data, Clustering, Compression, Edge computing, Fog computing

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/515315
https://research.chalmers.se/publication/515427
https://research.chalmers.se/publication/515427/file/515427_Fulltext.pdf