المؤلفون: Huang, Chengjie, Sun, Xinjuan, Zhang, Yuxuan

المصدر: Sensors. 24(13)

مصطلحات موضوعية: tiny machine learning (TinyML), structural health monitoring (SHM), damage classification, embedded systems, convolutional neural networks (CNNs), water supply canals

وصف الملف: electronic

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-51830Test
https://doi.org/10.3390/s24134124Test
https://miun.diva-portal.org/smash/get/diva2:1880088/FULLTEXT01.pdfTest

المؤلفون: George M. Sapidis, Ioannis Kansizoglou, Maria C. Naoum, Nikos A. Papadopoulos, Constantin E. Chalioris

المصدر: Sensors, Vol 24, Iss 2, p 386 (2024)

مصطلحات موضوعية: structural health monitoring (SHM), concrete damage identification, convolutional neural network (CNN), 1-D CNN, damage classification, deep learning, Chemical technology, TP1-1185

العلاقة: https://www.mdpi.com/1424-8220/24/2/386Test; https://doaj.org/toc/1424-8220Test; https://doaj.org/article/34c2b4f8472b40aa892a01dd402ec87aTest

الإتاحة: https://doi.org/10.3390/s24020386Test
https://doaj.org/article/34c2b4f8472b40aa892a01dd402ec87aTest

المؤلفون: António Guedes, Rúben Silva, Diogo Ribeiro, Jorge Magalhães, Tomás Jorge, Cecília Vale, Andreia Meixedo, Araliya Mosleh, Pedro Montenegro

المصدر: Applied Sciences, Vol 14, Iss 9, p 3650 (2024)

مصطلحات موضوعية: railway transport, classifying polygonal wheels, wayside system, Principal Component Analysis (PCA), Continuous Wavelet Transform (CWT), automatic damage classification, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2076-3417/14/9/3650Test; https://doaj.org/toc/2076-3417Test

الوصول الحر: https://doaj.org/article/35a09b742c214d4b9d5e1926c8698bd0Test

المؤلفون: Kevin Luo, Ie-bin Lian

المصدر: Fire, Vol 7, Iss 4, p 133 (2024)

مصطلحات موضوعية: damage assessment, wildfire damage, computer vision, damage classification, Physics, QC1-999

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2571-6255/7/4/133Test; https://doaj.org/toc/2571-6255Test

الوصول الحر: https://doaj.org/article/4bb89fa8b45b4aa6b85330a10c4bd30dTest

المؤلفون: Lin Ming, Haonan He, Xin Li, Wei Tian, Chengyan Zhu

المصدر: Materials, Vol 17, Iss 6, p 1407 (2024)

مصطلحات موضوعية: acoustic emission technology, glass fiber, interface modification, mechanical properties, damage classification, Technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Engineering (General). Civil engineering (General), TA1-2040, Microscopy, QH201-278.5, Descriptive and experimental mechanics, QC120-168.85

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/1996-1944/17/6/1407Test; https://doaj.org/toc/1996-1944Test

الوصول الحر: https://doaj.org/article/8b8384165d76492e9a7b341b29e660a2Test

المؤلفون: Vivien Zahs, Katharina Anders, Julia Kohns, Alexander Stark, Bernhard Höfle

المصدر: International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103406- (2023)

مصطلحات موضوعية: Change detection, UAV, 3D, Damage classification, Earthquake, Natural hazards, Physical geography, GB3-5030, Environmental sciences, GE1-350

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S1569843223002303Test; https://doaj.org/toc/1569-8432Test

الوصول الحر: https://doaj.org/article/2361955bd7624b699974c559f368edd0Test

المؤلفون: Jersson X. Leon-Medina, Núria Parés, Maribel Anaya, Diego A. Tibaduiza, Francesc Pozo

المصدر: Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 71, Iss 3 (2023)

مصطلحات موضوعية: structural health monitoring, wind turbine foundation, damage classification, machine learning, feature extraction, xgboost, Technology, Technology (General), T1-995

وصف الملف: electronic resource

العلاقة: https://journals.pan.pl/Content/126565/PDF/BPASTS_2023_71_3_3296.pdfTest; https://doaj.org/toc/2300-1917Test

الوصول الحر: https://doaj.org/article/cd871eb3407f4f2abdc1f976430dbfb4Test

المؤلفون: Pokhrel, Mahesh

المصدر: Theses and Dissertations - UTRGV

مصطلحات موضوعية: Damage Classification, Damage Detection, Dynamic Analysis, Machine Learning, Moving Train Load, Steel Truss Railroad Bridge, Engineering, Transportation Engineering

وصف الملف: application/pdf

العلاقة: https://scholarworks.utrgv.edu/etd/1277Test; https://scholarworks.utrgv.edu/context/etd/article/2281/viewcontent/962882__1_.pdfTest

الإتاحة: https://scholarworks.utrgv.edu/etd/1277Test
https://scholarworks.utrgv.edu/context/etd/article/2281/viewcontent/962882__1_.pdfTest

المؤلفون: Angeletti, Federica, Iannelli, Paolo, Gasbarri, Paolo, Panella, Massimo, Rosato, Antonello

المساهمون: Angeletti, Federica, Iannelli, Paolo, Gasbarri, Paolo, Panella, Massimo, Rosato, Antonello

مصطلحات موضوعية: space structure, space antenna, damage classification, deep learning, structural health monitoring

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000908906300001; volume:23; issue:1; firstpage:1; lastpage:20; numberofpages:20; journal:SENSORS; https://hdl.handle.net/11573/1664071Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145882369

الإتاحة: https://doi.org/10.3390/s23010368Test
https://hdl.handle.net/11573/1664071Test

المؤلفون: Leon-Medina, Jersson Xavier, Parés Mariné, Núria, Anaya, Maribel, Tibaduiza Burgos, Diego Alexander, Pozo Montero, Francesc

المساهمون: Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria, Universitat Politècnica de Catalunya. CoDAlab - Control, Dades i Intel·ligència Artificial

مصطلحات موضوعية: Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, Wind power plants, Structural engineering, Structural health monitoring, Wind turbine foundation, Damage classification, Machine learning, Feature extraction, XGBoost, Parcs eòlics, Enginyeria d'estructures

وصف الملف: 7 p.; application/pdf

العلاقة: https://journals.pan.pl/dlibra/publication/144606/edition/126565/contentTest; Leon-Medina, J.X. [et al.]. Ensemble of feature extraction methods to improve the structural damage classification in a wind turbine foundation. "Bulletin of the Polish Academy of Sciences: Technical Sciences", 21 Març 2023, Vol. 71, Núm. 3, article e144606; http://hdl.handle.net/2117/387294Test

الإتاحة: https://doi.org/10.24425/bpasts.2023.144606Test
http://hdl.handle.net/2117/387294Test