Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Siva Krishna Dasari"'
Publikováno v:
Design Science, Vol 6 (2020)
The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry. Engineers rely on well-established statistical and mathematical models to explore the feasible d
Externí odkaz:
https://doaj.org/article/daf975c4d05c43d6afe040314b16b894
Publikováno v:
2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS).
Large amount of data are generated from in-situ monitoring of additive manufacturing (AM) processes which is later used in prediction modelling for defect classification to speed up quality inspection of products. A high volume of this process data i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d2219c492ceeb90d5fd379203e592a
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22028
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-22028
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
The design of aircraft engines involves computationally expensive engineering simulations. One way to solve this problem is the use of response surface models to approximate the high-fidelity time-consuming simulations while reducing computational ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9064fce82e737668c83ca4f66339266c
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17848
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17848
One of the crucial aspects of additive manufacturing is the monitoring of the welding process for quality assurance of components. A common way to analyse the welding process is through visual inspection of melt-pool images to identify possible defec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf128397d844437b688ebfaa2bd42781
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21064
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21064
Autor:
Siva Krishna Dasari, Vadamodula Prasad
Publikováno v:
International Journal of Information Technology. 11:107-117
In this paper, a solution is defined based on convolutional neural networks (CNN) for the grading of flue-cured tobacco leaves. A performance analysis of CNN on 120 samples of cured tobacco leaves is reduced from 1450 × 1680 Red–Green–Blue (RGB)
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030198220
AIAI
AIAI
In engineering, design analyses of complex products rely on computer simulated experiments. However, high-fidelity simulations can take significant time to compute. It is impractical to explore design space by only conducting simulations because of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f7aa1da686e43ec366a0c0129bb490c
https://doi.org/10.1007/978-3-030-19823-7_45
https://doi.org/10.1007/978-3-030-19823-7_45
This paper presents a prescriptive approach toward the integration of value and sustainability models in an automated decision support environment enabled by machine learning (ML). The approach allows the concurrent multidimensional analysis of desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be13658f3ed4f0e308988a6bb5d7ee97
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16232
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16232