المؤلفون: Dartora, Caroline, Marseglia, Anna, Martensson, Gustav, Rukh, Gull, Dang, Junhua, Muehlboeck, J-Sebastian, Wahlund, Lars-Olof, Moreno, Rodrigo, Barroso, Jose, Ferreira, Daniel, Schiöth, Helgi, Westman, Eric

المصدر: Frontiers in Aging Neuroscience. 15

مصطلحات موضوعية: brain age, neurodegeneration, normal ageing, CNN, UK Biobank, ageing prediction

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-531482
https://doi.org/10.3389/fnagi.2023.1303036
https://uu.diva-portal.org/smash/get/diva2:1873564/FULLTEXT01.pdf

المؤلفون: Evangelia C. Vouvoudi, Panagiotis D. Morfis, George D. Verros, Dimitris S. Achilias

المصدر: Coatings; Volume 12; Issue 4; Pages: 490

مصطلحات موضوعية: Loctite ® Super Attak Glass, anionic polymerization, photooxidation, colorimetric indicators, glass preservation/restoration, cultural heritage, ageing prediction, internal standard, instant adhesives

وصف الملف: application/pdf

Relation: Surface Characterization, Deposition and Modification; https://dx.doi.org/10.3390/coatings12040490

الاتاحة: https://doi.org/10.3390/coatings12040490

المؤلفون: Caroline Dartora, Anna Marseglia, Gustav Mårtensson, Gull Rukh, Junhua Dang, J-Sebastian Muehlboeck, Lars-Olof Wahlund, Rodrigo Moreno, José Barroso, Daniel Ferreira, Helgi B. Schiöth, Eric Westman, for the Alzheimer’s Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing, the Japanese Alzheimer’s Disease Neuroimaging Initiative, the AddNeuroMed Consortium

مصطلحات موضوعية: Neuroscience, Pathology, Health Care, Psychiatry (incl. Psychotherapy), Clinical Sciences not elsewhere classified, Central Nervous System, Aged Care Nursing, Aged Health Care, Protein Trafficking, brain age, neurodegeneration, normal ageing, CNN, UK Biobank, ageing prediction

Relation: https://figshare.com/articles/dataset/Data_Sheet_1_A_deep_learning_model_for_brain_age_prediction_using_minimally_preprocessed_T1w_images_as_input_docx/24956727

الاتاحة: https://doi.org/10.3389/fnagi.2023.1303036.s001
https://figshare.com/articles/dataset/Data_Sheet_1_A_deep_learning_model_for_brain_age_prediction_using_minimally_preprocessed_T1w_images_as_input_docx/24956727

المؤلفون: Liu, Kailong, Tang, Xiaopeng, Teodorescu, Remus, Gao, Furong, Meng, Jinhao

مصطلحات موضوعية: Aging, Batteries, Battery health, Battery management, Data-driven model, Degradation, Future ageing prediction, Knee point, Machine learning, Predictive models, Trajectory, Uncertainty, Voltage

Relation: https://repository.hkust.edu.hk/ir/Record/1783.1-115082; IEEE Transactions on Energy Conversion, v. 37, (2), 1 June 2022, article number 9627576, p. 1282-1291; https://doi.org/10.1109/TEC.2021.3130600; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0885-8969&rft.volume=&rft.issue=&rft.date=2021&rft.spage=&rft.aulast=Liu&rft.aufirst=&rft.atitle=Future+Ageing+Trajectory+Prediction+for+Lithium-ion+Battery+Considering+the+Knee+Point+Effect&rft.title=IEEE+Transactions+on+Energy+Conversion; http://www.scopus.com/record/display.url?eid=2-s2.0-85120537897&origin=inward; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000800225300055

الاتاحة: https://repository.hkust.edu.hk/ir/Record/1783.1-115082
https://doi.org/10.1109/TEC.2021.3130600
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0885-8969&rft.volume=&rft.issue=&rft.date=2021&rft.spage=&rft.aulast=Liu&rft.aufirst=&rft.atitle=Future+Ageing+Trajectory+Prediction+for+Lithium-ion+Battery+Considering+the+Knee+Point+Effect&rft.title=IEEE+Transactions+on+Energy+Conversion
http://www.scopus.com/record/display.url?eid=2-s2.0-85120537897&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000800225300055

المؤلفون: Aizpurua, Manex, GARAYALDE, ERIK, Lopetegi, Iker, Yeregui, Josu, Dorronsoro, Xabier, IRAOLA, UNAI

المصدر: IEEE Energy Conversion Congress and Exposition (ECCE) Darmstadt (Alemania), 2-6 septiembre, 2024

مصطلحات موضوعية: Modular batteries, Ageing prediction, Battery energy storage, ODS 7 Energía asequible y no contaminante

وصف الملف: application/pdf

Relation: https://hdl.handle.net/20.500.11984/6825; https://doi.org/10.1109/ECCEEurope62508.2024.10751995

الاتاحة: https://hdl.handle.net/20.500.11984/6825
https://doi.org/10.1109/ECCEEurope62508.2024.10751995
https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178748

المؤلفون: Ivica Androjić

المصدر: Građevinar
Volume 68
Issue 06.
Građevinar, Vol 68, Iss 06., Pp 477-483 (2016)

مصطلحات موضوعية: binder ageing, ageing of asphalt mixture, volatilisation, oxidation, ageing prediction models, lcsh:TA1-2040, lcsh:Engineering (General). Civil engineering (General), starenje veziva, starenje asfaltne mješavine, isparavanje, oksidacija, modeli za predviđanje starenja

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::deb7134c696f3bddb2207ea597c9b89b
https://hrcak.srce.hr/file/238520

المؤلفون: Liu, Kailong, Tang, Xiaopeng, Teodorescu, Remus, Gao, Furong, Meng, Jinhao

مصطلحات الفهرس: Aging, Batteries, Battery health, Battery management, Data-driven model, Degradation, Future ageing prediction, Knee point, Machine learning, Predictive models, Trajectory, Uncertainty, Voltage, Article

URL: http://repository.ust.hk/ir/Record/1783.1-115082
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0885-8969&rft.volume=&rft.issue=&rft.date=2021&rft.spage=&rft.aulast=Liu&rft.aufirst=&rft.atitle=Future+Ageing+Trajectory+Prediction+for+Lithium-ion+Battery+Considering+the+Knee+Point+Effect&rft.title=IEEE+Transactions+on+Energy+Conversion
http://www.scopus.com/record/display.url?eid=2-s2.0-85120537897&origin=inward