Zobrazeno 1 - 10
of 12
pro vyhledávání: '"G, Deepti Raj"'
Autor:
Yenduri, Gokul, M, Ramalingam, G, Chemmalar Selvi, Y, Supriya, Srivastava, Gautam, Maddikunta, Praveen Kumar Reddy, G, Deepti Raj, Jhaveri, Rutvij H, B, Prabadevi, Wang, Weizheng, Vasilakos, Athanasios V., Gadekallu, Thippa Reddy
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that can understand and communicate using language in a manner that
Externí odkaz:
http://arxiv.org/abs/2305.10435
Autor:
G. Deepti Raj, B. Prabadevi
Publikováno v:
IEEE Access, Vol 12, Pp 117090-117101 (2024)
Manually checking for defects on industrial parts such as steel surfaces is ineffective, error-prone, and can damage a company’s reputation. Current automated methods often lack accuracy or real-time detection capabilities. Early detection allows f
Externí odkaz:
https://doaj.org/article/f076811d015947f5ba019c2babc0e961
Autor:
Gokul Yenduri, M. Ramalingam, G. Chemmalar Selvi, Y. Supriya, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, G. Deepti Raj, Rutvij H. Jhaveri, B. Prabadevi, Weizheng Wang, Athanasios V. Vasilakos, Thippa Reddy Gadekallu
Publikováno v:
IEEE Access, Vol 12, Pp 54608-54649 (2024)
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that can understand and communicate using language in a manner that
Externí odkaz:
https://doaj.org/article/96750fcc651d4aab80220ee584b2ca02
Autor:
G. Deepti Raj, B. Prabadevi
Publikováno v:
IEEE Access, Vol 11, Pp 129493-129506 (2023)
Steel strip can develop surface defects during manufacturing and processing, affecting structural integrity and usability. These defects can be caused by both internal and external factors. However, traditional manual error detection techniques do no
Externí odkaz:
https://doaj.org/article/4dd50957f9c34608830ec8f688ae1fc4
Akademický článek
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Publikováno v:
2013 Fifth International Conference on Advanced Computing (ICoAC).
Detecting duplicates in the database is necessary but eradicating those detected duplicates is an important task. Inorder to retrieve valuable data some form of data preprocessing must be executed. Data scrubbing or extracting data with quality is on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e86982132ef04a1f3cb00182262e0a6
https://doi.org/10.1109/icoac.2013.6921935
https://doi.org/10.1109/icoac.2013.6921935
Publikováno v:
2013 Fifth International Conference on Advanced Computing (ICoAC).
Feature subset selection is an effective way for reducing dimensionality, removing irrelevant data, and improving result accuracy. Feature subset selection can be viewed as the process of identifying and removing as many irrelevant and redundant feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca482b0d2a486f35aa8c02571f877731
https://doi.org/10.1109/icoac.2013.6921962
https://doi.org/10.1109/icoac.2013.6921962
Publikováno v:
2013 Fifth International Conference on Advanced Computing (ICoAC).
Caching legitimate districts of spatial queries at mobile clients is effective in reducing the number of queries submitted by wireless clients and query burden on the server although, wireless purchasers suffer from longer waiting time for the server
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2ad8a0ee2ed8bbfe6be09db5cd57bd5
https://doi.org/10.1109/icoac.2013.6921988
https://doi.org/10.1109/icoac.2013.6921988
Conference
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Conference
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