Výsledky vyhľadávania - "Denoising Autoencoder"
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1
Autori: a ďalší
Zdroj: Neural Computing & Applications. 37(17):10491-10505
Predmety: Non-intrusive Load Monitoring, Energy Efficiency, Deep Convolutional Neural Networks, Interpretability, Multi-target NILM models, data- och systemvetenskap, Computer and Systems Sciences
Popis súboru: print
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2
Autori: a ďalší
Zdroj: Current Radiopharmaceuticals. 18:224-243
Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40237056
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3
Autori:
Zdroj: Results in Engineering, Vol 27, Iss, Pp 105900-(2025)
Predmety: Fault detection and clustering, Technology, Back-to-back testing, Deep denoising autoencoder, HIL testing, Real-time validation, Automotive software systems
Prístupová URL adresa: https://doaj.org/article/34c5052e622c4cb18ed2d1499b7ffeea
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4
Autori:
Zdroj: Journal of Power Electronics. 25:1745-1760
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5
Autori:
Zdroj: 2025 IEEE Symposium on Industrial Electronics & Applications (ISIEA). :1-7
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6
Autori:
Zdroj: 2025 IEEE 26th China Conference on System Simulation Technology and its Applications (CCSSTA). :942-947
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7
Effect of noise reduction on PLSR modeling in near infrared spectroscopy using denoising autoencoder
Autori: Özcan Çataltaş
Zdroj: New Trends in Computer Sciences. 3:38-48
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8
Autori: a ďalší
Zdroj: Journal of Mechatronics, Electrical Power, and Vehicular Technology, Vol 15, Iss 1, Pp 93-104 (2024)
Predmety: neural network, remaining useful life (rul), denoising autoencoder (dae), lithium-ion (li-ion) battery, TJ1-1570, system robustness, Electrical engineering. Electronics. Nuclear engineering, Mechanical engineering and machinery, 7. Clean energy, TK1-9971
Prístupová URL adresa: https://doaj.org/article/045065a2412848b69e82bedb7c7174af
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9
Autori: a ďalší
Zdroj: Energy Science & Engineering, Vol 12, Iss 8, Pp 3390-3400 (2024)
Predmety: Technology, Science, remaining useful life, 02 engineering and technology, 7. Clean energy, 01 natural sciences, 0104 chemical sciences, denoising autoencoder, lithium‐ion batteries, reconstruction loss, 0210 nano-technology, CNN‐BiGRU
Prístupová URL adresa: https://doaj.org/article/16be299cf6cd47afbe649edb9f74b513
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10
Autori: a ďalší
Zdroj: 2025 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv). :384-389
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11
Autori: a ďalší
Zdroj: IEEE Internet of Things Journal. 12:17066-17079
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12
Autori: a ďalší
Zdroj: 2025 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5
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13
Causal analysis enhanced stacked denoising autoencoder for closed-loop industrial process monitoring
Autori: a ďalší
Zdroj: 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). :1448-1453
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14
Autori:
Zdroj: 2025 26th International Symposium on Quality Electronic Design (ISQED). :1-10
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15
Autori: a ďalší
Zdroj: IEEE Transactions on Circuits and Systems I: Regular Papers. 72:1621-1633
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16
Autori: a ďalší
Zdroj: Water Resources Research, Vol 61, Iss 10, Pp n/a-n/a (2025)
Predmety: machine learning, denoising autoencoder, sensor noise reduction, uncertainty quantification, evapotranspiration, Environmental sciences, GE1-350
Popis súboru: electronic resource
Prístupová URL adresa: https://doaj.org/article/86fb1f47d0ef444590d1c051eb05f97e
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17
Autori:
Zdroj: ICT Express, Vol 10, Iss 2, Pp 400-405 (2024)
Predmety: Backscatter communication, 0508 media and communications, Beamforming, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, Channel estimation, Deep learning, Denoising autoencoder, Information technology, 02 engineering and technology, T58.5-58.64
Prístupová URL adresa: https://doaj.org/article/60e6f8807c1e43dc88d5cd7e99775171
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18
Zdroj: Jisuanji gongcheng, Vol 51, Iss 5, Pp 288-304 (2025)
Predmety: occluded micro-expression recognition, feature reconstruction, optical flow, dynamic image, denoising autoencoder, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765
Popis súboru: electronic resource
Prístupová URL adresa: https://doaj.org/article/6dca6ccf5e1149279b8fd4d79d81dcd6
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19
Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: BULERIA. Repositorio Institucional de la Universidad de León
Universidad de LeónPredmety: Sensor observations, Missing data, 3310.03 Procesos Industriales, Recurrent neural network, 0202 electrical engineering, electronic engineering, information engineering, 3311.01 Tecnología de la Automatización, Denoising autoencoder, Gap imputation, 02 engineering and technology, Ingeniería de sistemas, Multivariate time series
Prístupová URL adresa: https://hdl.handle.net/10612/19963
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20
Autori:
Zdroj: ICTACT Journal on Image and Video Processing. 15:3501-3508
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