Výsledky vyhľadávania - "Data-driven algorithms"

Disaggregation of total energy use into space heating and domestic hot water: A city-scale suited approach

Autori: Schaffer, Markus Widén, Joakim Vera-Valdés, J. Eduardo a ďalší

Zdroj: Energy. 291

Predmety: Smart heat meter, Smart water meter, District heating, Space heating, Domestic hot water, Data-driven algorithms

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-530032
https://doi.org/10.1016/j.energy.2024.130351

A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems

Autori: Tao, Junjie Wang, Shunli Cao, Wen a ďalší

Zdroj: Tao, J, Wang, S, Cao, W, Takyi-Aninakwa, P, Fernandez, C & Guerrero, J M 2024, 'A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems', Ionics, vol. 30, no. 10, pp. 5903-5927. https://doi.org/10.1007/s11581-024-05686-z

Predmety: Based on data-driven algorithms, Equivalent circuit model, Li-ion battery state estimation, Parameter identification, Deep learning, Kalman filtering

Prístupová URL adresa: https://vbn.aau.dk/da/publications/ecccf178-2c05-4169-9cbb-d17f17e83874
http://www.scopus.com/inward/record.url?scp=85198450612&partnerID=8YFLogxK
https://doi.org/10.1007/s11581-024-05686-z
https://rgu-repository.worktribe.com/output/2418912

A CGAN-based adversarial attack method for data-driven state estimation

Autori: Qi Wang Jing Zhang Jianxiong Hu a ďalší

Zdroj: International Journal of Electrical Power & Energy Systems, Vol 170, Iss , Pp 110878- (2025)

Predmety: Adversarial attacks, Conditional generative adversarial networks, Data-driven algorithms, Generative adversarial networks, State estimation, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525004260; https://doaj.org/toc/0142-0615

Prístupová URL adresa: https://doaj.org/article/d06c8e96e71245bdad3b9d8d176da444

Exposures to select risk factors can be estimated from a continuous stream of inertial sensor measurements during a variety of lifting-lowering tasks

Autori: Sol Lim

Zdroj: Ergonomics. 67:1596-1611

Predmety: Male, Adult, Lifting, Hand, Biomechanical Phenomena, Occupational Diseases, Weight-Bearing, Wearable Electronic Devices, Young Adult, Risk Factors, Task Performance and Analysis, Accelerometry, Humans, lifting-lowering, Female, biomechanical exposures, data-driven algorithms, Musculoskeletal Diseases, Inertial sensor measurements, risk factors estimation

Popis súboru: 16 page(s); application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38646871
https://hdl.handle.net/10919/126235
https://doi.org/10.1080/00140139.2024.2343949

Data-Driven Multi-Objective Optimization: Analysis of Current Methods and Techniques

Autori: Pereiras, Ernesto Salgueiro, Yamisleydi Nápoles, Gonzalo a ďalší

Zdroj: 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). :1-6

Predmety: Measurement, machine learning, multi-objective optimization, Machine learning, Analytical models, data-driven algorithms, Machine learning algorithms, surrogate model, interpretability, Optimization methods, Focusing, Information and communication technology

From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context

Autori: Sijm H. Noteboom Eline Kho Maria Galanty a ďalší

Zdroj: EBioMedicine, Vol 111, Iss, Pp 105529-(2025)

Predmety: Real-time decision-making, Medicine (General), R5-920, Data-driven algorithms, Cloud environments, Medicine, Data management

Prístupová URL adresa: https://doaj.org/article/09cace27fc7e42fcba52708c939cc08d

Cautiously optimistic: paediatric critical care nurses’ perspectives on data-driven algorithms in low-resource settings—a human-centred design study in Malawi

Autori: Margot Rakers Daniel Mwale Lieke de Mare a ďalší

Zdroj: BMC Global and Public Health, Vol 2, Iss 1, Pp 1-16 (2024)

Predmety: Data-driven algorithms, Paediatric critical care, Low-resource settings, Malawi, Nurses, Monitoring systems, Public aspects of medicine, RA1-1270

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2731-913X

Prístupová URL adresa: https://doaj.org/article/da555ee29fab44bab7051fe8be89833d

Defense Methods for Adversarial Attacks Against Power CPS Data-Driven Algorithms

Autori: Weiping ZHU Yi TANG Xingshen WEI a ďalší

Zdroj: Zhongguo dianli, Vol 57, Iss 9, Pp 32-43 (2024)

Predmety: adversarial attacks, data-driven algorithms, power cps, attack defense, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis súboru: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202312067; https://doaj.org/toc/1004-9649

Prístupová URL adresa: https://doaj.org/article/b2e342a776844af4a0bc0af80ac31a22

Achieving Service Level and Sustainability Goals Through Targeted Inventory Forecasting in Re-Order Point Systems with Fill Rate Commitments

Autori: Jakub Wojtasik Joanna Bruzda

Zdroj: Sustainability ; Volume 17 ; Issue 22 ; Pages: 10192

Predmety: inventory forecasting, fill rate, re-order point system, exponential smoothing, M-estimation, data-driven algorithms, resource-efficient operations

Popis súboru: application/pdf

Relation: Economic and Business Aspects of Sustainability; https://dx.doi.org/10.3390/su172210192

Dostupnosť: https://doi.org/10.3390/su172210192

Enhancing the Prediction of Dam Deformations: A Novel Data-Driven Approach

Autori: Jonas Ziemer Gideon Stein Carolin Wicker a ďalší

Zdroj: Remote Sensing ; Volume 17 ; Issue 6 ; Pages: 1026

Predmety: dam monitoring, data-driven algorithms, deformation prediction, PSI, Sentinel-1

Geografické téma: agris

Popis súboru: application/pdf

Relation: Engineering Remote Sensing; https://dx.doi.org/10.3390/rs17061026

Dostupnosť: https://doi.org/10.3390/rs17061026

Joint Use of Drone-Mounted Base Stations and Cell Outage Compensation in Emergency Scenarios

Autori: Pijnappel, T.R. Berg, J.L. van den Borst, S.C. a ďalší

Prispievatelia: Pijnappel, T.R. Berg, J.L. van den Borst, S.C. a ďalší

Predmety: Emergency scenarios, Data-driven algorithms, cell outage compensation, data-driven algorithms, drone base station positioning, Cell outage compensation, emergency scenarios, 5G, Drone base station positioning

Prístupová URL adresa: https://research.tue.nl/en/publications/c3aedac3-ee91-4720-87ea-66e744bc24be
https://resolver.tno.nl/uuid:00000000-0000-0000-0000-0000a1002420

The Design, Creation, Implementation, and Study of a New Dataset Suitable for Non-Intrusive Load Monitoring

Autori: Carlos Rodriguez-Navarro Francisco Portillo Francisco G. Montoya a ďalší

Zdroj: Applied Sciences, Vol 15, Iss 13, p 7200 (2025)

Predmety: data-driven algorithms, energy disaggregation, F1-score, MAE, NDE, non-intrusive load monitoring, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/13/7200; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/a1758207fc30444ea18a5719495d7f29

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

Autori: Somayeh Bakhtiari Ramezani Logan Cummins Brad Killen a ďalší

Zdroj: IEEE Access, Vol 11, Pp 41741-41769 (2023)

Predmety: predictive maintenance, Data-driven algorithms, explainability, remaining useful life, health index, Electrical engineering. Electronics. Nuclear engineering, industry 4.0, TK1-9971

Prístupová URL adresa: https://doaj.org/article/fd219687bdb14996a1d408c90a55686c

The Online Knapsack Problem with Departures

Autori: Bo Sun Lin Yang Mohammad Hajiesmaili a ďalší

Zdroj: Proceedings of the ACM on Measurement and Analysis of Computing Systems. 6:1-32

Predmety: Risk, FOS: Computer and information sciences, Data-driven algorithms, Computer Networks and Communications, Cloud job scheduling, 0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Competitive ratio, Hardware and Architecture, Reliability and Quality, Computer Science - Data Structures and Algorithms, Computer Science (miscellaneous), Data Structures and Algorithms (cs.DS), Knapsack with departures, Safety, Online knapsack problems

Prístupová URL adresa: http://arxiv.org/abs/2209.11934

POSSIBILITIES OF APPLYING DATA-DRIVEN ALGORITHMS TO IMPROVE HYBRID EDUCATION SYSTEMS

Autori: Ivan Dražić Nelida Črnjarić-Žic Angela Bašić-Šiško

Zdroj: INTED Proceedings. 1:9155-9160

Predmety: Data-driven algorithms, hybrid education, data analysis, 4. Education

Prístupová URL adresa: https://www.bib.irb.hr/1186190
https://library.iated.org/view/DRAZIC2022POS

Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems

Autori: Smith, Ethan Variansyah, Ilham McClarren, Ryan

Zdroj: Nuclear Science and Engineering. 197:1769-1778

Predmety: 0202 electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, time eigenvalues, data-driven algorithms, time-dependent neutronics, 02 engineering and technology, Computational Physics (physics.comp-ph), Physics - Computational Physics

Prístupová URL adresa: http://arxiv.org/abs/2208.10942

Modeling Population Mobility Flows: A Hybrid Approach Integrating a Gravity Model and Machine Learning

Autori: Jingjing Liu Lei Xu Le Ma a ďalší

Zdroj: ISPRS International Journal of Geo-Information, Vol 13, Iss 11, p 379 (2024)

Predmety: urban mobility, COVID-19, geospatial data, data-driven algorithms, lightGBM, Geography (General), G1-922

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2220-9964/13/11/379; https://doaj.org/toc/2220-9964

Prístupová URL adresa: https://doaj.org/article/02ada0efc4274abcba6ed523cbbc96be

Probabilistic Mixture Model-Based Spectral Unmixing

Autori: Oliver Hoidn Aashwin Ananda Mishra Apurva Mehta

Zdroj: Applied Sciences, Vol 14, Iss 11, p 4836 (2024)

Predmety: hyperspectral unmixing, probabilistic modeling, data-driven algorithms, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/11/4836; https://doaj.org/toc/2076-3417; https://doaj.org/article/882ebc31e7244cbf938c5a68731c8b53

Dostupnosť: https://doi.org/10.3390/app14114836
https://doaj.org/article/882ebc31e7244cbf938c5a68731c8b53

Data-driven algorithms for predicting energy-efficient operating points in agricultural soil tillage

Autori: Kazenwadel, Benjamin Becker, Simon Michiels, Lukas a ďalší

Zdroj: LAND.TECHNIK AgEng 2023 ISBN: 9783181024270

Predmety: 2. Zero hunger, ddc:620, Optimization, Data-driven Algorithms, Operating Point Prediction, Efficiency, 7. Clean energy, Engineering & allied operations

Popis súboru: application/pdf

Prediction capabilities of data-driven operator based algorithms on some classes of differential equations

Autori: Črnjarić, Nelida Maćešić, Senka Porto, Portugal

Prispievatelia: Črnjarić, Nelida Maćešić, Senka Porto, Portugal

Predmety: differential equations, DMD algorithm, data-driven algorithms, prediction, Koopman operator, Koopman operator, data-driven algorithms, DMD algorithm, prediction

Prístupová URL adresa: https://www.bib.irb.hr/1267428
https://doi.org/10.34630/20734