Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Nagendra Panini Challa"'
Publikováno v:
Data in Brief, Vol 56, Iss , Pp 110783- (2024)
This dataset presents a comprehensive collection of handwritten Grantha characters, comprising numbers and vowels, gathered from participants spanning diverse age groups. Utilizing standard A4 sheets, participants were instructed to handwrite Grantha
Externí odkaz:
https://doaj.org/article/f98e183ba7184fcba3db8e831091ce6a
Publikováno v:
IEEE Access, Vol 11, Pp 93111-93128 (2023)
Companies in a wide variety of industries use the customer churn prediction (CCP) process to keep their current clientele happy. Insurance companies need to be able to forecast churn to enhance the potency and functionality of deep learning methods.
Externí odkaz:
https://doaj.org/article/73cda04e82a44310b9f700e50489e59d
Autor:
Lisa Gopal, Harbaksh Singh, Panguluri Mounica, N. Mohankumar, Nagendra Panini Challa, P. Jayaraman
Publikováno v:
Measurement: Sensors, Vol 25, Iss , Pp 100661- (2023)
The Digital Twin (DT) method offers new concepts for choosing the context of information technologies and smart production systems. This research focuses on low-price, extremely effective defect diagnosis methods, low-efficiency, high-cost devices to
Externí odkaz:
https://doaj.org/article/5c77d5e087a142958d0682b16b174064
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107723- (2022)
This article presents handwritten isolated characters of the Devanagari script. Devanagari script contains ten numerals, 13 vowels, and 33 consonants. Devanagari Character dataset includes 23 different characters of numerals and vowels. 2400 handwrit
Externí odkaz:
https://doaj.org/article/1326a4b5281a424aa0523abac08700bd
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 31:65-99
The clinical diagnosis of heart disease in most situations is based on a difficult amalgamation of pathological and clinical information. Because of this complication, there is a significant level of curiosity among many diagnostic healthcare profess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d01085773816b0ba9241e4674d53e199
https://doi.org/10.1142/s0218488523400056
https://doi.org/10.1142/s0218488523400056
Autor:
Nagaraju Jajam, Nagendra Panini Challa
Publikováno v:
Computers, Materials & Continua. 75:977-997
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fac0a6e4fce3622fbb325c527bbe8c08
https://doi.org/10.32604/cmc.2023.036098
https://doi.org/10.32604/cmc.2023.036098
Autor:
S. L. Prasanna, Nagendra Panini Challa
Publikováno v:
International Journal of Swarm Intelligence Research. 13:1-22
This paper proposes a methodology consisting of two phases: attributes selection and classification based on the attributes selected. Phase 1 uses the introduced new feature selection algorithm which is the optimal mayfly algorithm (OMA) to solve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eee8d434864ed5578f568342ccac37a5
https://doi.org/10.4018/ijsir.313665
https://doi.org/10.4018/ijsir.313665
Publikováno v:
2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::500026243789b44a00d1689c521c17c9
https://doi.org/10.1109/icssit55814.2023.10061095
https://doi.org/10.1109/icssit55814.2023.10061095
Publikováno v:
2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddfb16d70236e14f0a4dfade7de6c6d0
https://doi.org/10.1109/icaect57570.2023.10118232
https://doi.org/10.1109/icaect57570.2023.10118232
Publikováno v:
2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e1532ae7c3cbb79286d3f9f0d832d2e
https://doi.org/10.1109/icaect57570.2023.10118051
https://doi.org/10.1109/icaect57570.2023.10118051