Výsledky vyhľadávania - automatic (machine OR machinery) learning algorithm based on genetic algorithms

Zdroj: Tian , C , Wang , Y , Ma , X , Chen , Z & Xue , H 2021 , ' Chiller Fault Diagnosis Based on Automatic Machine Learning ' , Frontiers in Energy Research , vol. 9 , 753732 .

Témy: Chiller, Fault diagnosis, Long short-term memory network, Automatic machine learning, Transient co-simulation, article

URL: https://orbit.dtu.dk/en/publications/137a399f-5ee2-4d85-95de-112f6ef63c91
https://doi.org/10.3389/fenrg.2021.753732
https://backend.orbit.dtu.dk/ws/files/265185421/fenrg_09_753732.pdf

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13

Construction of rapid early warning and comprehensive analysis models for urban waterlogging based on AutoML and comparison of the other three machine learning algorithms.

Autori: Guo, Yuchen Quan, Lihong Song, Lili a ďalší

Zdroj: Journal of Hydrology. Feb2022, Vol. 605, pN.PAG-N.PAG. 1p.

Predmety: *MACHINE learning, *BACK propagation, *DEEP learning, *GENETIC algorithms, *PRECIPITATION forecasting

Geografický termín: TIANJIN (China)

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14

Development and Validation of a Novel Myocardial Infarction Prediction Model Based on ECG-AI

Prispievatelia: Liu yong, Professor

Zdroj: Development and Validation of a Novel Myocardial Infarction Prediction Model Based on ECG-AI: A Multicenter Retrospective Cohort Study
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Lincoff AM, Brown-Frandsen K, Colhoun HM, Deanfield J, Emerson SS, Esbjerg S, Hardt-Lindberg S, Hovingh GK, Kahn SE, Kushner RF, Lingvay I, Oral TK, Michelsen MM, Plutzky J, Tornoe CW, Ryan DH; SELECT Trial Investigators. Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes. N Engl J Med. 2023 Dec 14;389(24):2221-2232. doi: 10.1056/NEJMoa2307563. Epub 2023 Nov 11.
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15

Chiller Fault Diagnosis Based on Automatic Machine Learning

Autori: Chongyi Tian Youyin Wang Xin Ma a ďalší

Zdroj: Frontiers in Energy Research, Vol 9 (2021)

Predmety: chiller, fault diagnosis, long short-term memory network, automatic machine learning, transient co-simulation, General Works

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2021.753732/full; https://doaj.org/toc/2296-598X

Prístupová URL adresa: https://doaj.org/article/3c333084742a43d987af5f25302285af

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16

Application of some artificial intelligence optimization methods to determine the freshness of eggs.

Autori: ŞAHİN, Hasan Alp ÖNDER, Hasan

Zdroj: Turkish Journal of Veterinary & Animal Sciences. 2024, Vol. 48 Issue 3, p156-164. 9p.

Predmet: Artificial intelligence, Digital image processing, Artificial neural networks, Object recognition (Computer vision), Particle swarm optimization, Image compression

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Network traffic control method of NHP based on deep reinforcement learning.

Autori: Huang Q Tan Z Wang Q a ďalší

Zdroj: Scientific reports [Sci Rep] 2025 Dec 12. Date of Electronic Publication: 2025 Dec 12.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

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18

PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer's Disease With Machine Learning (PREVIEW)

Autori: Fondazione Don Carlo Gnocchi Onlus University of Florence Scuola Superiore Sant'Anna di Pisa a ďalší

Prispievatelia: Fondazione Don Carlo Gnocchi Onlus University of Florence Scuola Superiore Sant'Anna di Pisa a ďalší

Zdroj: PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer's Disease With Machine Learning
Giacomucci G, Mazzeo S, Bagnoli S, Casini M, Padiglioni S, Polito C, Berti V, Balestrini J, Ferrari C, Lombardi G, Ingannato A, Sorbi S, Nacmias B, Bessi V. Matching Clinical Diagnosis and Amyloid Biomarkers in Alzheimer's Disease and Frontotemporal Dementia. J Pers Med. 2021 Jan 14;11(1):47. doi: 10.3390/jpm11010047.
Mazzeo S, Bessi V, Bagnoli S, Giacomucci G, Balestrini J, Padiglioni S, Tomaiuolo G, Ingannato A, Ferrari C, Bracco L, Sorbi S, Nacmias B. Dual Effect of PER2 C111G Polymorphism on Cognitive Functions across Progression from Subjective Cognitive Decline to Mild Cognitive Impairment. Diagnostics (Basel). 2021 Apr 18;11(4):718. doi: 10.3390/diagnostics11040718.
Bessi V, Balestrini J, Bagnoli S, Mazzeo S, Giacomucci G, Padiglioni S, Piaceri I, Carraro M, Ferrari C, Bracco L, Sorbi S, Nacmias B. Influence of ApoE Genotype and Clock T3111C Interaction with Cardiovascular Risk Factors on the Progression to Alzheimer's Disease in Subjective Cognitive Decline and Mild Cognitive Impairment Patients. J Pers Med. 2020 May 29;10(2):45. doi: 10.3390/jpm10020045.
Mazzeo S, Padiglioni S, Bagnoli S, Bracco L, Nacmias B, Sorbi S, Bessi V. The dual role of cognitive reserve in subjective cognitive decline and mild cognitive impairment: a 7-year follow-up study. J Neurol. 2019 Feb;266(2):487-497. doi: 10.1007/s00415-018-9164-5. Epub 2019 Jan 2.
Giacomucci G, Mazzeo S, Padiglioni S, Bagnoli S, Belloni L, Ferrari C, Bracco L, Nacmias B, Sorbi S, Bessi V. Gender differences in cognitive reserve: implication for subjective cognitive decline in women. Neurol Sci. 2022 Apr;43(4):2499-2508. doi: 10.1007/s10072-021-05644-x. Epub 2021 Oct 8.
Mazzeo S, Bessi V, Padiglioni S, Bagnoli S, Bracco L, Sorbi S, Nacmias B. KIBRA T allele influences memory performance and progression of cognitive decline: a 7-year follow-up study in subjective cognitive decline and mild cognitive impairment. Neurol Sci. 2019 Aug;40(8):1559-1566. doi: 10.1007/s10072-019-03866-8. Epub 2019 Apr 5.
Bessi V, Mazzeo S, Padiglioni S, Piccini C, Nacmias B, Sorbi S, Bracco L. From Subjective Cognitive Decline to Alzheimer's Disease: The Predictive Role of Neuropsychological Assessment, Personality Traits, and Cognitive Reserve. A 7-Year Follow-Up Study. J Alzheimers Dis. 2018;63(4):1523-1535. doi: 10.3233/JAD-171180.
Mazzeo S, Padiglioni S, Bagnoli S, Carraro M, Piaceri I, Bracco L, Nacmias B, Sorbi S, Bessi V. Assessing the effectiveness of subjective cognitive decline plus criteria in predicting the progression to Alzheimer's disease: an 11-year follow-up study. Eur J Neurol. 2020 May;27(5):894-899. doi: 10.1111/ene.14167. Epub 2020 Mar 8.
Amoroso N, Diacono D, Fanizzi A, La Rocca M, Monaco A, Lombardi A, Guaragnella C, Bellotti R, Tangaro S; Alzheimer's Disease Neuroimaging Initiative. Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge. J Neurosci Methods. 2018 May 15;302:3-9. doi: 10.1016/j.jneumeth.2017.12.011. Epub 2017 Dec 26.
Bansal D. et al. Comparative Analysis of Various Machine Learning Algorithms for Detecting Dementia - Procedia Computer Science (2018) 132: 1497-1502
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Guillem F, Rougier A, Claverie B. Short- and long-delay intracranial ERP repetition effects dissociate memory systems in the human brain. J Cogn Neurosci. 1999 Jul;11(4):437-58. doi: 10.1162/089892999563526.
Amato LG, Lassi M, Vergani AA, Carpaneto J, Mazzeo S, Moschini V, Burali R, Salvestrini G, Fabbiani C, Giacomucci G, Galdo G, Morinelli C, Emiliani F, Scarpino M, Padiglioni S, Nacmias B, Sorbi S, Grippo A, Bessi V, Mazzoni A. Digital twins and non-invasive recordings enable early diagnosis of Alzheimer's disease. Alzheimers Res Ther. 2025 May 31;17(1):125. doi: 10.1186/s13195-025-01765-z.
Mazzeo S, Lassi M, Padiglioni S, Vergani AA, Moschini V, Scarpino M, Giacomucci G, Burali R, Morinelli C, Fabbiani C, Galdo G, Amato LG, Bagnoli S, Emiliani F, Ingannato A, Nacmias B, Sorbi S, Grippo A, Mazzoni A, Bessi V. PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer's Disease With machine learning: the PREVIEW study protocol. BMC Neurol. 2023 Aug 12;23(1):300. doi: 10.1186/s12883-023-03347-8.

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19

Deep learning in water protection of resources, environment, and ecology: achievement and challenges.

Autori: Fu X Jiang J Wu X a ďalší

Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Feb; Vol. 31 (10), pp. 14503-14536. Date of Electronic Publication: 2024 Feb 02.

Spôsob vydávania: Journal Article; Review

Informácie o časopise: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE