Zobrazeno 1 - 10
of 43
pro vyhledávání: '"T. Sujithra"'
Publikováno v:
2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF).
Publikováno v:
Materials Today: Proceedings. 45:2821-2827
Brain Computer Interfaces (BCIs) allow a user to control a computer application by acquiring brain activity using Electro Enchephalo Gram (EEG). Non-invasive practical EEG headset available in the market brings more and more research in the field of
Publikováno v:
2022 6th International Conference on Computing Methodologies and Communication (ICCMC).
Publikováno v:
Journal of Engineering Education Transformations. 33:76-83
This paper describes the development of POGIL based instructional design classes for complex engineering problems described in the Program Outcomes (PO) of National Board of Accreditation (NBA), India accreditation criteria. Embedded system Design co
Publikováno v:
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI).
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811910173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d493cd89c86d60a09ceccc70e1bf2e4
https://doi.org/10.1007/978-981-19-1018-0_19
https://doi.org/10.1007/978-981-19-1018-0_19
Publikováno v:
Intelligent Data Engineering and Analytics ISBN: 9789811666230
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d92aee537cf27b92fbdb7e6e16023ff
https://doi.org/10.1007/978-981-16-6624-7_32
https://doi.org/10.1007/978-981-16-6624-7_32
Publikováno v:
Biomedical Signal Processing and Control. 75:103545
Publikováno v:
Indian Journal of Science and Technology. 10:1-6
Objective: To study the diverse data gathering approaches and issues involved in wireless sensor networks. Method: This study deals with traditional cluster architecture, challenges in clustering, bibliographical survey on numerous data gathering app
Autor:
T. Sujithra, R. Venkatesan
Publikováno v:
International Journal of Applied Information Systems. 11:1-7
In this paper genetic algorithm based energy efficient data gathering approach is proposed to maximize the network lifetime in terms of rounds. The proposed approach has two phases, namely a setup phase and steady state phase. In the setup phase, the