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Titlebook: Control Instrumentation Systems; Proceedings of CISCO C. Shreesha,Ravindra D. Gudi Conference proceedings 2020 Springer Nature Singapore Pt

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PLS-Based Multivariate Statistical Approach for Soft Sensor Development in WWTP, low-dimensional space. The different methods include Principal Component Analysis, Principal Component Regression, Partial Least Squares Regression, Finite Impulse response, Autoregressive exogenous input and autoregressive moving average, etc. The advantage of using Multivariate Statistical Proces
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Development of a GUI to Detect Glaucomatic Diseases Using Very Deep CNNs,the human eye, thus making the life of human miserable and the whole world would be dark without vision. Recently, (DL) Deep Learning is playing a lot of important role in the image processing applications. This DL can be clubbed with CNNs (Convolution Artificial Neural Networks) along with a hardwa
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Springer Series in Chemical Physicsnov spectrum plot. The applications of the new system are shown by encrypting and decrypting a sinusoidal signal and sound wave. Secure communication is achieved by designing a proportional integral (PI) based sliding mode control (SMC). MATLAB simulation results validate and ensure that the objectives are satisfied.
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1876-1100 institutions.Discusses interdisciplinary applications.This volume contains selected papers which had been presented during CISCON 2018. The papers cover the latest trends in the fields of instrumentation, sensors and systems, industrial automation & control, image and signal processing, robotics, r
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Simultaneous Exploration and Coverage by a Mobile Robot,p of the environment, which in turn is used to generate the coverage path. We illustrate and demonstrate the problem using the off-line version of Spanning Tree Coverage algorithm with a frontier-based exploration strategy. The simulation results demonstrate that the robot successfully achieves complete and non-repetitive coverage.
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