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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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https://doi.org/10.1007/978-3-031-63638-7y (i) an abrupt load deviation of magnitude 0.01 per unit in control area 1 and (ii) abrupt load deviation of magnitude 0.06 per unit in control area 1. The later investigation also reveals that projected controller is robust as it can successfully manage the frequency abnormalities without further
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Variation of Precursor Material,nd classification useful for remote health advisory system. And moreover, the existing works have not focussed on the privacy issue that arises while sending patient’s voice to a remote server. Thus, in this paper a privacy-enhanced voice recognition approach for health advisory system has been prop
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https://doi.org/10.1007/978-981-97-2558-8 moisture content falls below a certain threshold. The second part aims to analyse the Blynk collected data to classify the plant based on its conditions, i.e. healthy or unhealthy. Finally, we compare the performance results of support vector machine, random forest and logistic regression for class
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Henry Huiyao Wang,Mabel Lu Miaottern mining algorithm is implemented to mine all the erasable closed patterns by reducing the resources needed for production without affecting the information loss. The removable itemset with one pattern  along with their element occurrence pair is taken into consideration. Further the erasable pa
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Artificial Intelligence and Evolutionary Computations in Engineering Systems
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Machine-Learning-Based Device for Visually Impaired Person,ected the alarm is actuated. Nowadays, the assistive devices include the involvement of both hardware and software section to assist the blind user. The proposed method for the visually impaired person aims to detect the object more accurately so that the visually impaired person can navigate to their full potential in real-time application.
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