Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Lilly Florence"'
Publikováno v:
Advances in Multimedia and Interactive Technologies ISBN: 9781668460603
Object detection is a booming technology that is on par with computer vision and image processing in which an object of a specific type is detected in an image or video. Object detection consists of several approaches like Retina-Net, Single Shot Mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a3b2c172125c812169f1858cdefa87
https://doi.org/10.4018/978-1-6684-6060-3.ch022
https://doi.org/10.4018/978-1-6684-6060-3.ch022
Publikováno v:
2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE).
Publikováno v:
2022 6th International Conference on Computing Methodologies and Communication (ICCMC).
Publikováno v:
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS).
Publikováno v:
2022 International Conference on Computer Communication and Informatics (ICCCI).
Publikováno v:
Materials Today: Proceedings. 46:583-585
The two different grades of alloys such as Aluminum AA6063 and stainless steel SS304 of 8 mm thickness are friction stir welded by taking factors like depth of the cut, tool pin profile, feed, tilt angle, rotational speed. The friction stir (FS) weld
Publikováno v:
2021 2nd International Conference for Emerging Technology (INCET).
Conversational agents are the most popular AI technology in IT trends. Domain specific chatbots are now used by almost every industry in order to upgrade their customer service. The Proposed paper shows the modelling and performance of one such conve
Publikováno v:
PROCEEDINGS OF THE 14TH ASIA-PACIFIC PHYSICS CONFERENCE.
The current investigation is aimed to give a thorough explanation of metal matrix composite fabrication by taking different combinations of the reinforcements by using the principles of friction stir technique and impact of the input processing param
Autor:
C. Manjula, Lilly Florence
Publikováno v:
International Journal of Computer Sciences and Engineering. 6:385-390
Autor:
M. Lilly Florence, R. Jayanthi
Publikováno v:
Cluster Computing. 22:77-88
Software industries strive for software quality improvement by consistent bug prediction, bug removal and prediction of fault-prone module. This area has attracted researchers due to its significant involvement in software industries. Various techniq