Zobrazeno 1 - 10
of 46 964
pro vyhledávání: '"A. Meenakshi"'
Publikováno v:
Automatika, Vol 65, Iss 1, Pp 98-107 (2024)
Association rule hiding is an efficient solution that helps organizations to avoid the risk caused by sensitive knowledge leakage when sharing data in their collaborations. Cuckoo Optimization Algorithm (COA) sanitizes the transaction database but th
Externí odkaz:
https://doaj.org/article/ca7dc5ecafd043609fdabf5d4cae284b
Autor:
A. Meenakshi, J. Senbagamalar
Publikováno v:
Neutrosophic Sets and Systems, Vol 60, Pp 59-73 (2023)
In this paper, we have initiated the study of domination and equitable domination of Neutrosophic graphs using strong arcs. Strong arcs represent the optimal (minimum) degree of truth membership value, the optimal (minimum) degree of indeterminacy me
Externí odkaz:
https://doaj.org/article/b10f59806fd341efac4afb0e944ac4e2
Autor:
J. Senbaga Malar, A. Meenakshi
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 2 (2024)
F index is a connected graph, sum of the cubes of the vertex degrees. The forgotten topological index has been designed to be employed in the examination of drug molecular structures, which is extremely useful for pharmaceutical and medical experts i
Externí odkaz:
https://doaj.org/article/a0774d22a3dc4661b028feec203f778e
Publikováno v:
Journal of Mathematics, Vol 2024 (2024)
Intuitionistic fuzzy graphs IFGs are a powerful tool for modeling uncertainty and complex relationships. They offer versatile frameworks for addressing real-world challenges. In this research, we have introduced intuitionistic fuzzy vertex order colo
Externí odkaz:
https://doaj.org/article/44fd7439b0d44daf9647a6c3de81b985
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems 2024
This paper introduces a novel framework named D-LORD (Double Latent Optimization for Representation Disentanglement), which is designed for motion stylization (motion style transfer and motion retargeting). The primary objective of this framework is
Externí odkaz:
http://arxiv.org/abs/2412.04097
Neuroscience and artificial intelligence (AI) both face the challenge of interpreting high-dimensional neural data, where the comparative analysis of such data is crucial for revealing shared mechanisms and differences between these complex systems.
Externí odkaz:
http://arxiv.org/abs/2411.14633
Hyperspectral imaging is a powerful tool for Earth exploration, allowing for detailed analysis of spectral features. India has launched a dedicated hyperspectral Earth observation satellite capable of capturing data across a wide electromagnetic spec
Externí odkaz:
http://arxiv.org/abs/2411.08917
Resourcesat-3S/3SA, an upcoming Indian satellite, is designed with Aft and Fore payloads capturing stereo images at look angles of -5deg and 26deg, respectively. Operating at 632.6 km altitude, it features a panchromatic (PAN) band offering a Ground
Externí odkaz:
http://arxiv.org/abs/2410.23319
Autor:
Garg, Ankur, Thapa, Nitesh, Sangar, Ghansham, Gaur, Neha, Sarkar, Meenakshi, Moorthi, S. Manthira, Dhar, Debajyoti
The Geo High Resolution Camera (GHRC) aboard ISRO GSAT-29 satellite is a state-of-the-art 6-band Visible and Near Infrared (VNIR) imager in geostationary orbit at 55degE longitude. It provides a ground sampling distance of 55 meters at nadir, coverin
Externí odkaz:
http://arxiv.org/abs/2410.21307
Hyperspectral images enable precise identification of ground objects by capturing their spectral signatures with fine spectral resolution.While high spatial resolution further enhances this capability, increasing spatial resolution through hardware l
Externí odkaz:
http://arxiv.org/abs/2410.18691