Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

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Miao Zhang,Christine Edwards,Jiaying Maof a cell. The reconstruction of GRN is based on DNA-microarray time series gene expression data. This provides an insight that can be applied to drug development for a disease. Here, recurrent neural network (RNN) is used to model the GRN. The aim is to find the optimal parameter set for RNN which

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https://doi.org/10.1057/9780230250956 waves. Radar innovation is used in planes, rockets, marine, climate expectations, and cars. Regardless of the fact that the title Arduino radar works, in fact, this venture depends on sonar innovation because we have used an ultrasonic sensor to determine the motion of an object. Arduino is a micro

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https://doi.org/10.1057/9780230250956 currently in wide use in healthcare applications such as artificial limbs. And there are increasing progressions in the development of more accurate, lesser invasive technologies for brain mapping. This makes it possible to blend smart computing methods with BMI to enhance the functionality of smar

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acrobat

https://doi.org/10.1057/9781137340337ential evolution (DE) optimization technique is used to tune the controller gains and the integral time absolute error (ITAE) is used as an objective function. The proposed approaches advantages are recognized by contrasting its simulation results with GWO tuned PID, BFOA tuned FOPID, and hFA-PS tun