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Titlebook: Artificial Intelligence and Evolutionary Computations in Engineering Systems; Subhransu Sekhar Dash,C. Lakshmi,Bijaya Ketan Pani Conferenc

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發(fā)表于 2025-3-23 13:28:48 | 只看該作者
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發(fā)表于 2025-3-23 14:04:07 | 只看該作者
Variation of Precursor Material,h recognition applications are currently being used for health care and special needs’ assistance such as transcription of medical reports, conversational systems, command and control. The main benefit of this technology is that it can be accessed from anywhere at any time. Hence, it is now being po
13#
發(fā)表于 2025-3-23 21:36:53 | 只看該作者
https://doi.org/10.1007/978-981-97-2558-8ost of the things there is also a need to maintain plants by doing some automation. In general, every plant has some specific needs that have to be addressed for its survival. Therefore, a system must be developed where plants can communicate with the user through IoT. By monitoring these parameters
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發(fā)表于 2025-3-23 23:42:48 | 只看該作者
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發(fā)表于 2025-3-24 05:57:34 | 只看該作者
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發(fā)表于 2025-3-24 09:13:00 | 只看該作者
Henry Huiyao Wang,Mabel Lu Miaoactory obtains the company some amount of income. The manufacturing of these products also costs a huge sum for purchase and production. When a situation arises for the company to shut down its manufacturing or when there is some crisis, the industry will not have money to buy the parts to finish th
17#
發(fā)表于 2025-3-24 10:40:56 | 只看該作者
Oon Seng Tan,Jallene Jia En Chuaevices used in the distribution network. In distribution systems, it is around 75% problems which are caused due to especially harmonics. Harmonics exists due to nonlinear devices used in distribution system. These harmonics are compensated by a distribution static compensator (DSTATCOM). By using t
18#
發(fā)表于 2025-3-24 15:58:04 | 只看該作者
19#
發(fā)表于 2025-3-24 21:12:07 | 只看該作者
https://doi.org/10.1007/978-981-97-3515-0losses, voltage instabilities, etc. To compensate power quality problems, usage of custom power devices is most effective approach. To get the best performance, custom power devices must place in optimal locations. Hence, this paper proposes a new swarm intelligence-based dragonfly algorithm (DA) to
20#
發(fā)表于 2025-3-24 23:40:47 | 只看該作者
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