Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jinsa Kuruvilla"'
Autor:
Ancy Joy, Jinsa Kuruvilla
Publikováno v:
Wireless Personal Communications. 126:3305-3316
Autor:
Atul Kumar Dwivedi, Umadevi Kaliyaperumal Subramanian, Jinsa Kuruvilla, Aby Thomas, D. Shanthi, Anandakumar Haldorai
Publikováno v:
Soft Computing. 27:1663-1671
For several years, time-series prediction seems to have been a popular research topic. Sales plans, ECG forecasts, meteorological circumstances, and even COVID-19 spreading projections are among its uses. These implementations have inspired several s
Autor:
Nishiya Vijayan, Jinsa Kuruvilla
Publikováno v:
2023 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA).
Autor:
Nishiya Vijayan, Jinsa Kuruvilla
Publikováno v:
2022 IEEE 19th India Council International Conference (INDICON).
Publikováno v:
2022 International Conference on Industry 4.0 Technology (I4Tech).
Autor:
ancy joy, Jinsa Kuruvilla
Today’s high speed data processing and memory storage operations demand immediate data write and retrieval to meet up to benchmark. To act as a volatile or nonvolatile data storage for electronic devices such as mobile phones, laptops the Static Ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec3a50f0e2c09f5bed0eeded457d0e32
https://doi.org/10.21203/rs.3.rs-436605/v1
https://doi.org/10.21203/rs.3.rs-436605/v1
Autor:
Divyendu Kumar Mishra, Aby Thomas, Jinsa Kuruvilla, P. Kalyanasundaram, K. Ramalingeswara Prasad, Anandakumar Haldorai
Publikováno v:
Computers and Electrical Engineering. 101:108044
Publikováno v:
2020 International Conference on Power Electronics and Renewable Energy Applications (PEREA).
The present world with its fast-paced processing and data manipulation requires equally fast accessible data to match up to its performance and output. From temporary to permanent storage of data for the processors and devices, Static-Random-Access M
Autor:
Jinsa Kuruvilla, K. Gunavathi
Publikováno v:
Computer methods and programs in biomedicine. 113(1)
Early detection of cancer is the most promising way to enhance a patient's chance for survival. This paper presents a computer aided classification method in computed tomography (CT) images of lungs developed using artificial neural network. The enti
Autor:
Jinsa Kuruvilla, K. Gunavathi
Publikováno v:
International Journal of Medical Engineering and Informatics. 7:233