Suchergebnisse - "data-driven algorithms"

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

Autoren: Schaffer, Markus Widén, Joakim Vera-Valdés, J. Eduardo et al.

Quelle: Energy. 291

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

Dateibeschreibung: electronic

Zugangs-URL: 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

Autoren: Tao, Junjie Wang, Shunli Cao, Wen et al.

Quelle: 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

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

Zugangs-URL: 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

Autoren: Qi Wang Jing Zhang Jianxiong Hu et al.

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: 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

Autoren: Sol Lim

Quelle: Ergonomics. 67:1596-1611

Schlagwörter: 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

Dateibeschreibung: 16 page(s); application/pdf

Zugangs-URL: 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

Autoren: Pereiras, Ernesto Salgueiro, Yamisleydi Nápoles, Gonzalo et al.

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

Schlagwörter: 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

Autoren: Sijm H. Noteboom Eline Kho Maria Galanty et al.

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

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

Zugangs-URL: 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

Autoren: Margot Rakers Daniel Mwale Lieke de Mare et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/da555ee29fab44bab7051fe8be89833d

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

Autoren: Weiping ZHU Yi TANG Xingshen WEI et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/b2e342a776844af4a0bc0af80ac31a22

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

Autoren: Jakub Wojtasik Joanna Bruzda

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

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

Dateibeschreibung: application/pdf

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

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

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

Autoren: Jonas Ziemer Gideon Stein Carolin Wicker et al.

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

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

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

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

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

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

Autoren: Pijnappel, T.R. Berg, J.L. van den Borst, S.C. et al.

Weitere Verfasser: Pijnappel, T.R. Berg, J.L. van den Borst, S.C. et al.

Schlagwörter: 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

Zugangs-URL: 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

Autoren: Carlos Rodriguez-Navarro Francisco Portillo Francisco G. Montoya et al.

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/a1758207fc30444ea18a5719495d7f29

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

Autoren: Somayeh Bakhtiari Ramezani Logan Cummins Brad Killen et al.

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

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

Zugangs-URL: https://doaj.org/article/fd219687bdb14996a1d408c90a55686c

The Online Knapsack Problem with Departures

Autoren: Bo Sun Lin Yang Mohammad Hajiesmaili et al.

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

Schlagwörter: 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

Zugangs-URL: http://arxiv.org/abs/2209.11934

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

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

Quelle: INTED Proceedings. 1:9155-9160

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

Zugangs-URL: https://www.bib.irb.hr/1186190
https://library.iated.org/view/DRAZIC2022POS

Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems

Autoren: Smith, Ethan Variansyah, Ilham McClarren, Ryan

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

Schlagwörter: 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

Zugangs-URL: http://arxiv.org/abs/2208.10942

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

Autoren: Jingjing Liu Lei Xu Le Ma et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/02ada0efc4274abcba6ed523cbbc96be

Probabilistic Mixture Model-Based Spectral Unmixing

Autoren: Oliver Hoidn Aashwin Ananda Mishra Apurva Mehta

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

Schlagwörter: 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

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

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

Autoren: Kazenwadel, Benjamin Becker, Simon Michiels, Lukas et al.

Quelle: LAND.TECHNIK AgEng 2023 ISBN: 9783181024270

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

Dateibeschreibung: application/pdf

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

Autoren: Črnjarić, Nelida Maćešić, Senka Porto, Portugal

Weitere Verfasser: Črnjarić, Nelida Maćešić, Senka Porto, Portugal

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

Zugangs-URL: https://www.bib.irb.hr/1267428
https://doi.org/10.34630/20734