Titlebook: Machine Vision and Augmented Intelligence—Theory and Applications; Select Proceedings o Manish Kumar Bajpai,Koushlendra Kumar Singh,George

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Stock Market Predictions Using FastRNN, CNN, and Bi-LSTM-Based Hybrid Model,mpanies for a period of one day. The model is aimed to have a low computational complexity so that it can be run for live predictions as well. The model‘s performance is measured by Root Mean Square Error (RMSE) along with computation time. The model outperforms ARIMA, FBProphet, and other hybrid systems for live predictions of stock values.

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Range-Of-Motion

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An Approach for Denoising of Contaminated Signal Using Fractional Order Differentiator, different nature of signals, and experimentally establishes its findings. The proposed method has been also compared with different techniques available in the literature. The results that have been obtained through the experiments seem promising.

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协议

Suryanamaskar Pose Identification and Estimation Using No Code Computer Vision,osoft Lobe has been used to analyze Suryanamaskar poses. The poses are detected in real-time by the developed software, as one does Suryanamaskar in front of the camera. The classifier identifies the pose as one of the following: Pranamasana, Hastauttanasana, Hasta Padasana, Ashwa Sanchalanasana, Dandasana, Ashtanga Namaskara, or Bhujangasana.

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Study of Communication Pattern for Perfect Difference Network,ell-defined pattern makes efficient use of scarce communication resources such as nodes providing minimum diameter, high bandwidth with a minimum degree. In this paper, we study communication patterns of next-generation interconnection network, Perfect Difference Network.