Zobrazeno 1 - 10
of 2 982
pro vyhledávání: '"K. Lakshmanan"'
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 3, Pp 335-343 (2024)
Abstract Machine intelligence is at great height these days and has been evident with its effective provenance in almost all domains of science and technology. This work will focus on one handy and profound application of machine intelligence-time se
Externí odkaz:
https://doaj.org/article/cc325282c7124efeb41121fec62edf24
Publikováno v:
Human-Centric Intelligent Systems, Vol 3, Iss 4, Pp 461-472 (2023)
Abstract Predicting and understanding the behavior of dynamic systems have driven advancements in various approaches, including physics-based models and data-driven techniques like deep neural networks. Chaotic systems, with their stochastic nature a
Externí odkaz:
https://doaj.org/article/2c7fa26ffee040198b900d8655e62b5d
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24024- (2024)
This study investigates a crucial aspect of inventory management, which is the process of replacing failed items. In dynamic commercial environments, it is essential to efficiently and strategically replace failed items to maintain operational effici
Externí odkaz:
https://doaj.org/article/3d3599c7d32f4ac3afd02aa1a1b34721
Publikováno v:
Ratio Mathematica, Vol 43, Iss 0, Pp 7-29 (2022)
This paper investigates a stock-dependent arrival process(SDAP) and queue-dependent service process(QDSP) in the stochastic queueing-inventory system(SQIS). The arriving units in the system are generated from the finite source population. The arrival
Externí odkaz:
https://doaj.org/article/7e58e7c4cc99407a916adfcba79ac5a2
Publikováno v:
IEEE Access, Vol 10, Pp 57974-57989 (2022)
Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying edge servers in different geographic locations. This technology plays a crucial role in the rapidly growing app market for IoT devices as app vendors can hire comp
Externí odkaz:
https://doaj.org/article/170cc7783cdc4ed8b1457a43fb4a497e
Akademický článek
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Publikováno v:
IEEE Access, Vol 9, Pp 113489-113499 (2021)
Smoothed functional (SF) algorithm estimates the gradient of the stochastic optimization problem by convolution with a smoothening kernel. This process helps the algorithm to converge to a global minimum or a point close to it. We study a two-time sc
Externí odkaz:
https://doaj.org/article/dfa89383fd804b58b77ec0cfde6b21a0
Publikováno v:
Symmetry, Vol 13, Iss 7, p 1197 (2021)
Reinforcement Learning (RL) enables an agent to learn control policies for achieving its long-term goals. One key parameter of RL algorithms is a discount factor that scales down future cost in the state’s current value estimate. This study introdu
Externí odkaz:
https://doaj.org/article/430d8c43ccfb4a0f82f2a0fafa88bdc6
Autor:
C K, Lakshmanan
Publikováno v:
International journal of leprosy and other mycobacterial diseases : official organ of the International Leprosy Association. 39(1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bccff9c26a23d08bd74830f977199227
https://pubmed.ncbi.nlm.nih.gov/4937455
https://pubmed.ncbi.nlm.nih.gov/4937455
Akademický článek
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