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Recent trends in image and signal processing in computer vision

✍ Scribed by Jain S., Paul S (ed.)


Publisher
Springer
Year
2020
Tongue
English
Leaves
293
Category
Library

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✦ Table of Contents


Preface......Page 6
Acknowledgements......Page 11
Contents......Page 12
About the Editors......Page 14
1.1 Diabetes Mellitus......Page 16
1.2 Ketosis and Metabolism......Page 17
1.3 Ketosis and Ketoacidosis......Page 18
1.4 Breath Acetone: Importance......Page 20
2.1 Arduino......Page 21
2.3 Software Implementation......Page 22
2.5 MQ135 Calculation......Page 23
3.1 Ensuring the Working of Sensor......Page 24
3.2 Normal Ranges of Acetone......Page 26
3.3 Comparisons of Data Collected......Page 27
3.4 Displayed Result......Page 28
4 Conclusion and Future Scope......Page 29
References......Page 30
1 Introduction......Page 33
2 Related Works......Page 34
2.1 Graph-Cut Technique......Page 35
3 Proposed Method......Page 37
3.1 Data Acquisition......Page 38
4 Results and Discussion......Page 39
4.1 Experimental Results......Page 40
5 Conclusion......Page 44
References......Page 45
1 Introduction......Page 47
3 Methodology......Page 49
3.1 MUAP Extraction......Page 50
3.2 Iterative Filtering Decomposition Method......Page 51
3.3 Feature Calculation......Page 53
3.5 Classification......Page 56
5 Conclusions and Future Scope......Page 57
References......Page 65
1 Introduction......Page 68
1.1 Solar Energy Conversion into Electrical Energy......Page 69
1.3 Generation Forecasting......Page 70
1.4 Technologies and Theories Previously Implemented......Page 71
2 Methodology of Remote Monitoring......Page 74
2.1 Methods of Remote Monitoring......Page 75
3 Discussion and Comparisons......Page 76
References......Page 77
1 Introduction......Page 79
2 Proposed Method......Page 81
3 Experiment and Results......Page 84
4 Conclusion......Page 86
References......Page 88
1 Introduction......Page 89
2 Modeling of Gas Turbine......Page 90
3.1 Fixed Gain PID Control......Page 92
3.2 Fuzzy Gain Scheduled PID Control......Page 93
4 Simulation Results and Discussion......Page 96
5 Conclusion......Page 100
References......Page 101
1 Introduction......Page 103
2 Methodology......Page 107
3 Results and Discussion......Page 108
4 Conclusion......Page 109
References......Page 111
Doppler Ultrasonography in Evaluation of Severe Type 2 Diabetes Mellitus: A Case Study......Page 113
1 Introduction......Page 114
2 Literatures Survey and Background Study......Page 116
3 Case Study: Type 2 Diabetes Mellitus......Page 118
4 Results and Discussion......Page 120
References......Page 123
Advancements of Healthcare Technologies: Paradigm Towards Smart Healthcare Systems......Page 125
1 Introduction......Page 126
2 Most Commonly Applied Advanced Engineering Applications......Page 128
2.1 Smart Sensing Technology......Page 130
2.2 IoT in Healthcare......Page 131
2.3 AI and Big Data in Healthcare......Page 133
3 3D Printing......Page 135
4 Global Scenario......Page 136
5 Cost Analysis......Page 139
7 Summary......Page 140
References......Page 142
1.1 Overview on Nanotechnology......Page 145
1.2 There’s Plenty of Room at the Bottom......Page 146
1.3 Nanotechnology in Biology......Page 147
2.1 Bone Regeneration......Page 150
2.2 Skin Grafts......Page 153
2.3 ALDR......Page 156
2.5 Nanofibers for Wound Recovery......Page 157
3.1 Microencapsulation of Cells......Page 158
3.2 Cell Encapsulation Using Nanotechnology......Page 159
References......Page 160
1 Introduction......Page 163
2 Related Works......Page 164
3.1 Proposed Model......Page 166
3.3 Data Analysis......Page 167
4.2 Simulation Using Monte Carlo (MC) Method......Page 172
4.3 Comparison of Results with Statistical Calculations......Page 173
4.4 Correlation of the Monte Carlo Simulation Results with the Statistically Obtained Results......Page 174
References......Page 175
1 Introduction......Page 177
2 Methodology......Page 178
3 ECG......Page 179
3.2 Tele-Consultation......Page 180
4 Artifacts in ECG Signal......Page 181
5 Cloud Computing......Page 182
6 Encryption/Decryption in ECG......Page 183
8 Internet of Things (IOT) in ECG......Page 184
9 Literature Review......Page 185
References......Page 189
An Update on Medical Data Steganography and Encryption......Page 192
1.1 Is Data Security Required?......Page 193
2.1 Most Commonly Used Steganography Terms Are [11]......Page 194
2.3 Classification Based on Domain of Steganography [19]......Page 195
3.1 Masking Algorithm [20, 21]......Page 196
3.2 Encryption Algorithm......Page 199
4 Types of Encryption Algorithms......Page 200
4.2 Image Compression Using SCAN [29]......Page 201
4.3 Chaotic Map Encryption [30]......Page 202
4.4 Gaussian Elimination Method [31]......Page 203
4.6 Rivest–Shamir–Adleman [34]......Page 205
5 Applications of Data Security......Page 207
6 Conclusion......Page 208
References......Page 209
1 Introduction......Page 211
2 Methodology......Page 212
2.1 Input Ultrasound Database Images......Page 213
2.2 Region of Interest (ROI) Extraction Module......Page 214
2.3 Feature Extraction Module......Page 215
3 Results and Discussion......Page 216
References......Page 219
1 Introduction......Page 221
3 Realizable SDR......Page 223
4 Software–Defined Radio Architecture......Page 224
6 Bit Error Rate (BER)......Page 225
8 Modulation Techniques......Page 226
9 Defining Problem......Page 227
11 Flow Chart of Proposed Work......Page 228
13 Graphical User Interface of the Proposed Work......Page 230
14 Conclusion......Page 238
References......Page 240
1 Introduction......Page 244
2 Literature Review......Page 245
3.1 Instrument Development......Page 246
4.1 Data Analysis......Page 247
5 Discussions......Page 248
References......Page 250
Detection of Hate Speech and Offensive Language in Twitter Data Using LSTM Model......Page 252
1 Introduction......Page 253
2 The Problem of Hate Speech......Page 254
3 Related Works......Page 256
4 Methodology......Page 258
5 Experiments and Results......Page 268
6 Conclusions......Page 271
References......Page 272
1 Introduction......Page 274
2 Wigner–Ville Distribution......Page 276
3 Variational Mode Decomposition (VMD) Method......Page 277
4 Proposed Method......Page 278
5.1 Performance Evaluation......Page 279
References......Page 291


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