المؤلفون: Muhammad Zakir Shaikh, Zeeshan Ahmed, Enrique Nava Baro, Samreen Hussain, Mariofanna Milanova

المصدر: Alexandria Engineering Journal, Vol 107, Iss , Pp 533-546 (2024)

مصطلحات موضوعية: Computer Vision, Object Detection, Deep Learning, Yolo, Train Rolling Stock, Wheelset, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S111001682400797X; https://doaj.org/toc/1110-0168

URL الوصول: https://doaj.org/article/0129aa0264a5422a99160894b6098506

المؤلفون: Kaja Krishnamohan, Ch. Raghava Prasad, P. V. V. Kishore

المصدر: Journal of Engineering and Applied Science, Vol 69, Iss 1, Pp 1-24 (2022)

مصطلحات موضوعية: Deep learning, Train rolling stock, Automation, Convolutional neural networks, UNet, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1110-1903; https://doaj.org/toc/2536-9512

URL الوصول: https://doaj.org/article/da24a26f60f24855aa3c61e81f08f21f

المؤلفون: N. Sasikala, P.V.V. Kishore, Ch. Raghava Prasad, E. Kiran Kumar, D. Anil Kumar, M. Teja Kiran Kumar, M.V.D. Prasad

المصدر: IEEE Access, Vol 6, Pp 70368-70377 (2018)

مصطلحات موضوعية: Level sets, train rolling stock, automated maintenance, hybrid high speed video segmentation, computer vision based condition monitoring, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8502841/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/e4f017d128f64597a52d2f0596959ce0

المؤلفون: Ch. Raghava Prasad, P.V.V. Kishore

المصدر: Cogent Engineering, Vol 4, Iss 1 (2017)

مصطلحات موضوعية: train rolling stock examination, structural similarity index, peak signal-to-noise ratio, level set models, shape priors, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2331-1916

URL الوصول: https://doaj.org/article/4a904f1cac364be4864c28f1ba13ba84

المؤلفون: Ch. Raghava Prasad, M. V. D. Prasad, D. Anil Kumar, M. Teja Kiran Kumar, P. V. V. Kishore, N. Sasikala, E. Kiran Kumar

المصدر: IEEE Access, Vol 6, Pp 70368-70377 (2018)

مصطلحات موضوعية: General Computer Science, automated maintenance, business.industry, Computer science, 020208 electrical & electronic engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, General Engineering, 02 engineering and technology, Image segmentation, computer vision based condition monitoring, Level set, High speed video, train rolling stock, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, General Materials Science, Segmentation, Computer vision, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, Level sets, hybrid high speed video segmentation, business, lcsh:TK1-9971, Boundary region

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30d5c5ad3e8215dc96c5314e9f54a2e3
https://doi.org/10.1109/access.2018.2877712