Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Krishn Kumar Gupt"'
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Computational cost in metaheuristics such as Evolutionary Algorithm (EAs) is often a major concern, particularly with their ability to scale. In data-based training, traditional EAs typically use a significant portion, if not all, of the dataset for
Externí odkaz:
https://doaj.org/article/8e3779c1649c43ecb94acb79517c43ea
Publikováno v:
IEEE Access, Vol 10, Pp 38694-38708 (2022)
The advent of cloud-based super-computing platforms has given rise to a Data Science (DS) boom. Many types of technological problems that were once considered prohibitively expensive to tackle are now candidates for exploration. Machine Learning (ML)
Externí odkaz:
https://doaj.org/article/373c82e7a3e143d1b7f34ffd7e1e3031
Autor:
Meghana Kshirsagar, Krishn Kumar Gupt, Gauri Vaidya, Conor Ryan, Joseph P. Sullivan, Vivek Kshirsagar
Publikováno v:
International Journal of Natural Computing Research. 11:1-23
Over the past seven decades since the advent of artificial intelligence (AI) technology, researchers have demonstrated and deployed systems incorporating AI in various domains. The absence of model explainability in critical systems such as medical A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0dba8aab4fdd684e68437fdb18f629f
https://doi.org/10.4018/ijncr.310006
https://doi.org/10.4018/ijncr.310006
Autor:
Krishn Kumar Gupt, Meghana Kshirsagar, Lukas Rosenbauer, Joseph P. Sullivan, Douglas Mota Dias, Conor Ryan
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::182b0b34ade45d593e4d806c92a83302
https://doi.org/10.1145/3520304.3529006
https://doi.org/10.1145/3520304.3529006
Publikováno v:
2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS).
Diversity is a much sought after aspect of any evolutionary system. More diversity means a cornucopia of diverse behaviors and traits among the individuals of a population. Lack of diversity, on the other hand, leads to a stagnant population whose in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2f6c746d8678b479326c4eb792099a0
https://doi.org/10.1109/icais50930.2021.9395792
https://doi.org/10.1109/icais50930.2021.9395792
Publikováno v:
2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA).
Elliptic curve is a major area of research due to its application in elliptic curve cryptography. Due to their small key sizes, they offer the twofold advantage of reduced storage and transmission requirements. This also results in faster execution t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b370a97e9b134cb78911e8c83a1c7b2
https://doi.org/10.1109/cspa52141.2021.9377300
https://doi.org/10.1109/cspa52141.2021.9377300
Publikováno v:
2021 International Conference on Computer Communication and Informatics (ICCCI).
The computational complexity of Evolutionary Algorithms (EAs) is a well-known concern. This paper is concerned with the resource consumption of GELAB, a novel Grammatical Evolution (GE) system implemented in Matlab. GE is an evolutionary technique fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09d32dc8ba29bed772eb7edf21799b25
https://doi.org/10.1109/iccci50826.2021.9402392
https://doi.org/10.1109/iccci50826.2021.9402392
Publikováno v:
CSP
The research work proposes a framework for checking the correctness of Galois field arithmetic operations in digital circuits. The authors propose to automatically generate the test cases from the user input, avoiding reliance upon predesigned test c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5b610621369b9594c4da3e9c76a70f5
https://doi.org/10.1109/csp51677.2021.9357567
https://doi.org/10.1109/csp51677.2021.9357567
Publikováno v:
ICSOFT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cb3ccac1be67dfdf530119eeefe46fb
https://doi.org/10.5220/0010605800002992
https://doi.org/10.5220/0010605800002992
Autor:
Meghana Kshirsagar, Prabhleen Bindra, Conor Ryan, Krishn Kumar Gupt, Vivek Kshirsagar, Gauri Vaidya
Publikováno v:
Smart Computing Techniques and Applications ISBN: 9789811608773
The desire of human intelligence to surpass its potential has triggered the emergence of artificial intelligence and machine learning. Over the last seven decades, these terms have gained much prominence in the digital arena due to its wide adoption
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c4f1accfae3192f4d816d7726ff7254
https://doi.org/10.1007/978-981-16-0878-0_59
https://doi.org/10.1007/978-981-16-0878-0_59
