Zobrazeno 1 - 10
of 14 749
pro vyhledávání: '"A Khatun"'
Publikováno v:
Indian Journal of Animal Sciences, Vol 93, Iss 12 (2023)
The present study was conducted in crossbred ewes to compare the efficiency of different artificial insemination techniques with natural tupping following fixed time artificial insemination using fresh semen. Crossbred ewes (n=29) were randomly divid
Externí odkaz:
https://doaj.org/article/15c6423664464308bcad3ede6150aa47
Autor:
Khatun, Sukila, Banerjee, Amar Kumar
In this paper, using the concept of natural density, we have introduced the ideas of statistical and rough statistical convergence in an $S$-metric space. We have investigated some of their basic properties. We have defined statistical Cauchyness and
Externí odkaz:
http://arxiv.org/abs/2408.14973
Autor:
Ahmad, Sk. Safique, Khatun, Pinki
Backward error (\textit{BE}) analysis emerges as a powerful tool for assessing the backward stability and strong backward stability of iterative algorithms. In this paper, we explore structured \textit{BEs} for a class of three-by-three block saddle
Externí odkaz:
http://arxiv.org/abs/2408.14019
Autor:
Ahmad, Sk. Safique, Khatun, Pinki
In this paper, we propose a parameterized shift-splitting (PSS) preconditioner, along with its two relaxed variants to solve the regularized three-by-three block saddle point problem (RTBSPP). The convergence of the associated PSS iteration method is
Externí odkaz:
http://arxiv.org/abs/2408.11750
Autor:
Ahmad, Sk. Safique, Khatun, Pinki
Significant research efforts have been dedicated recently to explore the structured backward error (BE) for saddle point problems (SPPs). However, these investigations overlook the inherent sparsity pattern of the coefficient matrix of the SPP. Moreo
Externí odkaz:
http://arxiv.org/abs/2408.11610
Autor:
Khatun, Aisha, Brown, Daniel G.
The use of Large Language Models (LLMs) has become ubiquitous, with abundant applications in computational creativity. One such application is fictional story generation. Fiction is a narrative that occurs in a story world that is slightly different
Externí odkaz:
http://arxiv.org/abs/2408.07904
Publikováno v:
Proceedings of the 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024)
This research develops a new method to detect anomalies in time series data using Convolutional Neural Networks (CNNs) in healthcare-IoT. The proposed method creates a Distributed Denial of Service (DDoS) attack using an IoT network simulator, Cooja,
Externí odkaz:
http://arxiv.org/abs/2407.20695
Publikováno v:
International Journal of Community Medicine and Public Health | June 2022| Vol 9 | Issue 6 | Page 2449-2456
Background:Since the confinement of the lockdown, universities transferred their teaching and learning activities in online as an all-out intention to prevent the transmission of the infection. This study aimed to determine the significant changes in
Externí odkaz:
http://arxiv.org/abs/2407.20238
Publikováno v:
Indian Journal of Animal Sciences, Vol 91, Iss 12 (2022)
The study was designed to compare the effect of length of progesterone treatment (6 d vs 10 d vs 14 d) on synchronization efficiency and fertility response in multiparous ewes. The crossbred ewes (30) were equally allotted to three groups designated
Externí odkaz:
https://doaj.org/article/39082244333a49cca3a1a28a4cd323ec
Integration of quantum computing in generative machine learning models has the potential to offer benefits such as training speed-up and superior feature extraction. However, the existing quantum generative adversarial networks (QGANs) fail to genera
Externí odkaz:
http://arxiv.org/abs/2406.13196