Includes bibliographical references and index.

Description based on online resource; title from digital title page (viewed on October 19, 2022).

Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgement -- 1 Design of a Low-Voltage LDO of CMOS Voltage Regulator for Wireless Communications -- 1.1 Introduction -- 1.2 LDO Controller Arrangement and Diagram Drawing -- 1.2.1 Design of the LDO Regulator -- 1.2.1.1 Design of the Fault Amplifier -- 1.2.1.2 Design of the MPT Phase -- 1.3 Conclusion -- References -- 2 Performance Analysis of Machine Learning and Deep Learning Algorithms for Smart Cities: The Present State and Future Directions -- 2.1 Introduction -- 2.2 Smart City: The Concept -- 2.3 Application Layer -- 2.3.1 Smart Homes and Buildings -- 2.3.1.1 Smart Surveillance -- 2.3.2 Smart Transportation and Driving -- 2.3.3 Smart Healthcare -- 2.3.4 Smart Parking -- 2.3.5 Smart Grid -- 2.3.6 Smart Farming -- 2.3.7 Sensing Layer -- 2.3.8 Communication Layer -- 2.3.9 Data Layer -- 2.3.10 Security Layer -- 2.4 Issues and Challenges in Smart Cities: An Overview -- 2.5 Machine Learning: An Overview -- 2.5.1 Supervised Learning -- 2.5.2 Support Vector Machines (SVMs) -- 2.5.3 Artificial Neural Networks -- 2.5.4 Random Forest -- 2.5.5 Na�ive Bayes -- 2.6 Unsupervised Learning -- 2.7 Deep Learning: An Overview -- 2.7.1 Autoencoder -- 2.7.2 Convolution Neural Networks (CNNs) -- 2.7.3 Recurrent Neural Networks (RNNs) -- 2.8 Deep Learning vs Machine Learning -- 2.9 Smart Healthcare -- 2.9.1 Evolution Toward a Smart Healthcare Framework -- 2.9.2 Application of ML/DL in Smart Healthcare -- 2.10 Smart Transport System -- 2.10.1 Evolution Toward a Smart Transport System -- 2.10.2 Application of ML/DL in a Smart Transportation System -- 2.11 Smart Grids -- 2.11.1 Evolution Toward Smart Grids -- 2.11.2 Application of ML/DL in Smart Grids -- 2.12 Challenges and Future Directions -- 2.13 Conclusion -- References.

3 Application of Machine Learning Algorithms and Models in 3D Printing -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Methods and Materials -- 3.4 Results and Discussion -- 3.5 Conclusion -- References -- 4 A Novel Model for Optimal Reliable Routing Path Prediction in MANET -- 4.1 Introduction -- 4.2 Analytical Hierarchical Process Technique -- 4.3 Mathematical Models and Protocols -- 4.3.1 Rough Sets -- 4.3.1.1 Pawlak Rough Set Theory Definitions -- 4.3.2 Fuzzy TOPSIS -- 4.4 Routing Protocols -- 4.4.1 Classification of Routing Paths -- 4.5 RTF-AHP Model -- 4.5.1 Rough TOPSIS Fuzzy Set Analytical Hierarchical Process Algorithm -- 4.6 Models for Optimal Routing Performance -- 4.6.1 Genetic Algorithm Technique -- 4.6.2 Ant Colony Optimization Technique -- 4.6.3 RTF-AHP Model Architecture Flow -- 4.7 Results and Discussion -- 4.8 Conclusion -- References -- 5 IoT-Based Smart Traffic Light Control -- 5.1 Introduction -- 5.2 Scope of the Proposed Work -- 5.3 Proposed System Implementation -- 5.4 Testing and Results -- 5.5 Test Results -- 5.6 Conclusions -- References -- 6 Differential Query Execution on Privacy Preserving Data Distributed Over Hybrid Cloud -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Proposed Solution -- 6.3.1 Data Transformation -- 6.3.2 Data Distribution -- 6.3.3 Query Execution -- 6.4 Novelty in the Proposed Solution -- 6.5 Results -- 6.6 Conclusion -- References -- 7 Design of CMOS Base Band Analog -- 7.1 Introduction -- 7.2 Proposed Technique of the BBA Chain for Reducing Energy Consumption -- 7.3 Channel Preference Filter -- 7.4 Programmable Amplifier Gain -- 7.5 Executed Outcomes -- 7.6 Conclusion -- References -- 8 Review on Detection of Neuromuscular Disorders Using Electromyography -- 8.1 Introduction -- 8.2 Materials -- 8.3 Methods -- 8.4 Conclusion -- References.

9 Design of Complementary Metal- Oxide Semiconductor Ring Modulator by Built-In Thermal Tuning -- 9.1 Introduction -- 9.2 Device Structure -- 9.3 DC Performance -- 9.4 Small-Signal Radiofrequency Assessments -- 9.5 Data Modulation Operation (High Speed) -- 9.6 Conclusions and Acknowledgments -- References -- 10 Low-Power CMOS VCO Used in RF Transmitter -- 10.1 Introduction -- 10.2 Transmitter Architecture -- 10.3 Voltage-Controlled Ring Oscillator Design -- 10.4 CMOS Combiner -- 10.5 Conclusion -- References -- 11 A Novel Low-Power FrequencyModulated Continuous Wave Radar Based on Low-Noise Mixer -- 11.1 Introduction -- 11.2 FMCW Principle -- 11.3 Results -- 11.4 Conclusion -- References -- 12 A Highly Integrated CMOS RF Tx Used for IEEE 802.15.4 -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Simulation Results and Discussion -- 12.4 Conclusion -- References -- 13 A Novel Feedforward Offset Cancellation Limiting Amplifier in Radio Frequencies -- 13.1 Introduction -- 13.2 Hardware Design -- 13.2.1 Limiting Amplifier -- 13.2.2 Offset Extractor -- 13.2.3 Architecture and Gain -- 13.2.4 Quadrature Detector -- 13.2.5 Sensitivity -- 13.3 Experimental Results -- 13.4 Conclusion -- References -- 14 A Secured Node Authentication and Access Control Model for IoT Smart Home Using Double-Hashed Unique Labeled Key-Based Validation -- 14.1 Introduction -- 14.2 Challenges in IoT Security and Privacy -- 14.2.1 Heterogeneous Communication and Devices -- 14.2.2 Physical Equipment Integration -- 14.2.3 Resource Handling Limitations -- 14.2.4 Wide Scale -- 14.2.5 Database -- 14.3 Background -- 14.4 Proposed Model -- 14.4.1 Communication Flow -- 14.4.1.1 IoT Node and Registration Authority -- 14.4.1.2 User and Local Authorization Authority -- 14.5 Results -- 14.6 Conclusion -- 14.7 Claims -- References -- Index -- EULA.

The book provides a comprehensive overview of state-of-the-art research work on cognitive models in communication systems and computing techniques. It also bridges the gap between various communication systems and solutions by providing the current models and computing techniques, their applications, the strengths and limitations of the existing methods, and the future directions in this area. The contributors showcase their latest research work focusing on the issues, challenges, and solutions in the field of data transmission techniques, computational algorithms, artificial intelligence (AI)-based devices, and computing techniques. Readers will find: Topics covering the applications of advanced cognitive devices, models, architecture, and techniques, A range of case studies and applications that will provide readers with the tools to apply cutting-edge models and algorithms, [and] In-depth information about new cognitive computing models and conceptual frameworks and their implementation.

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