Handbook of Intelligent Computing and Optimization for Sustainable Development. Группа авторов

href="#u40a2ff42-1b3e-5161-8d4c-1f0dd6f99d35">40 GIS-Based Geospatial Assessment of Novel Corona Virus (COVID-19) in One of the Promising Industrial States of India—A Case of Gujarat 40.1 Introduction 40.2 The Rationale of the Study 40.3 Materials and Methodology 40.4 GIS and COVID-19 (Corona) Mapping 40.5 Results and Discussion 40.6 Conclusion References 41 Mobile-Based Medical Alert System for COVID-19 Based on ZigBee and WiFi 41.1 Introduction 41.2 Hardware Design of Monitoring System 41.3 Software Design of Monitoring System 41.4 Working of ZigBee Module 41.5 Developed App for the Monitoring of Health 41.6 Google Fusion Table—Online Database 41.7 Application Developed for Health Monitoring System 41.8 Conclusion and Future Work References

      13  Index

      14  End User License Agreement

      Guide

      1  Cover

      2  Table of Contents

      3  Title Page

      4  Copyright

      5  Dedication

      6  Foreword

      7  Preface

      8  Acknowledgments

      9  Begin Reading

      10  Index

      11  End User License Agreement

      List of Illustrations

      1 Chapter 1Figure 1.1 Flow chart of the study.Figure 1.2 Basic neural network.Figure 1.3 Sigmoid function.Figure 1.4 Tanh function.Figure 1.5 ReLU function.Figure 1.6 Basic Bernoulli’s restricted Boltzmann machine.Figure 1.7 Accuracy plot for one hidden layer–based ANN.Figure 1.8 Accuracy plot for two hidden layer–based ANN.Figure 1.9 Accuracy plot for three hidden layer–based ANN.Figure 1.10 Accuracy plot for four hidden layer–based ANN.Figure 1.11 Accuracy vs. hidden layer.

      2 Chapter 2Figure 2.1 Schematic diagram of biological neuron.Figure 2.2 Propagation of signal through neurons.Figure 2.3 Linear threshold function.Figure 2.4 Schematic diagram of linear threshold gate.Figure 2.5 ANN model with continuous characteristics.Figure 2.6 Graphical representation of logistic sigmoid function.Figure 2.7 Single layer neural network.Figure 2.8 Multilayer neural network.Figure 2.9 Formation of axon. (a) Input and output neuron oligonucleotides and t...Figure 2.10 Formation of output molecule using DNA neural network. (a) Axon mole...Figure 2.11 Structure of perceptron [5].Figure 2.12 Catalytic activity of deoxyribozyme.Figure 2.13 Mechanism to switch on deoxyribozyme logic gate.Figure 2.14 Mechanism of YES gate.Figure 2.15 Mechanism of NOT gate.Figure 2.16 Mechanism of AND gate.Figure 2.17 Structure of ANDANDNOT gate.Figure 2.18 Toehold-mediated DNA branch migration and strand displacement [7].Figure 2.19 Mechanism of two-input AND gate.Figure 2.20 AND reaction.Figure 2.21 OR reaction.Figure 2.22 PROP reaction.

      3 Chapter 3Figure 3.1 Architecture of proposed framework.Figure 3.2 GMG background subtraction model [18].Figure 3.3 Keypoints for pose output [10].Figure 3.4 Samples from the

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