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    1. Data och IT
    2. Systemvetenskap och AI
    3. Artificiell intelligens

    Cognitive Computing Models in Communication Systems

    AvBudati Anil Kumar,Budati Anil Kumar

    Inbunden, Engelska, 2022

    Del i serien Smart and Sustainable Intelligent Systems

    1 911 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    COGNITIVE COMPUTING MODELS IN COMMUNICATION SYSTEMS A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions. 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 in this succinctly written and unique book: 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.In-depth information about new cognitive computing models and conceptual frameworks and their implementation.Audience The book is designed for researchers and electronics engineers, computer science engineers, industrial engineers, and mechanical engineers (both in academia and industry) working in the fields of machine learning, cognitive computing, mobile communication, and wireless network system.

    Produktinformation

    • Utgivningsdatum:2022-10-27
    • Mått:157 x 235 x 18 mm
    • Vikt:599 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Smart and Sustainable Intelligent Systems
    • Antal sidor:240
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781119865070

    Utforska kategorier

    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Budati Anil Kumar, PhD, is an associate professor in the ECE Department, Gokaraju Rangaraju Institute of Engineering & Technology (Autonomous), Hyderabad, India. He has more than 12 years of experience in teaching and six years of experience in research and has published more than 50 research articles in journals and conferences. His current research interests include cognitive radio networks, software-defined radio networks, artificial intelligence, 6G emerging technologies, mulsemedia computing, and UAVs in 5G and 6G. S. B. Goyal, PhD, is Director, Faculty of Information Technology, City University, Malaysia. He has more than 20 experience and has published 100+ papers in journals and conferences. Sardar M.N. Islam, PhD, is Director of Decision Sciences and Modelling Program at Victoria University, Australia. He has authored 31scholarly academic books in different disciplines, as well as more than 250 journal articles in his specialized research areas.

    Innehållsförteckning

    • Preface xiAcknowledgement xiii1 Design of a Low-Voltage LDO of CMOS Voltage Regulator for Wireless Communications 1S. Pothalaiah, Dayadi Lakshmaiah, B. Prabakar Rao, D. Nageshwar Rao, Mohammad Illiyas and G. Chandra Sekhar1.1 Introduction 21.2 LDO Controller Arrangement and Diagram Drawing 21.3 Conclusion 142 Performance Analysis of Machine Learning and Deep Learning Algorithms for Smart Cities: The Present State and Future Directions 15Pradeep Bedi, S. B. Goyal, Sardar MN Islam, Jia Liu and Anil Kumar Budati2.1 Introduction 162.2 Smart City: The Concept 162.3 Application Layer 182.4 Issues and Challenges in Smart Cities: An Overview 212.5 Machine Learning: An Overview 222.6 Unsupervised Learning 262.7 Deep Learning: An Overview 262.8 Deep Learning vs Machine Learning 292.9 Smart Healthcare 302.10 Smart Transport System 332.11 Smart Grids 362.12 Challenges and Future Directions 402.13 Conclusion 413 Application of Machine Learning Algorithms and Models in 3D Printing 47Chetanpal Singh3.1 Introduction 483.2 Literature Review 503.3 Methods and Materials 653.4 Results and Discussion 693.5 Conclusion 704 A Novel Model for Optimal Reliable Routing Path Prediction in MANET 75S.R.M. Krishna, S. Pothalaiah and R. Santosh4.1 Introduction 764.2 Analytical Hierarchical Process Technique 774.3 Mathematical Models and Protocols 784.4 Routing Protocols 804.5 RTF-AHP Model 814.6 Models for Optimal Routing Performance 834.7 Results and Discussion 854.8 Conclusion 885 IoT-Based Smart Traffic Light Control 91Sreenivasa Rao Ijjada and K. Shashidhar5.1 Introduction 925.2 Scope of the Proposed Work 935.3 Proposed System Implementation 945.4 Testing and Results 995.5 Test Results 1005.6 Conclusion 1046 Differential Query Execution on Privacy Preserving Data Distributed Over Hybrid Cloud 107Sridhar Reddy Vulapula, P. V. S. Srinivas and Jyothi Mandala6.1 Introduction 1076.2 Related Work 1086.3 Proposed Solution 1106.4 Novelty in the Proposed Solution 1156.5 Results 1156.6 Conclusion 1197 Design of CMOS Base Band Analog 123S. Pothalaiah, Dayadi Lakshmaiah, Bandi Doss, Nookala Sairam and K. Srikanth7.1 Introduction 1247.2 Proposed Technique of the BBA Chain for Reducing Energy Consumption 1257.3 Channel Preference Filter 1307.4 Programmable Amplifier Gain 1327.5 Executed Outcomes 1337.6 Conclusion 1358 Review on Detection of Neuromuscular Disorders Using Electromyography 137G. L. N. Murthy, Rajesh Babu Nemani, M. Sambasiva Reddy and M. K. Linga Murthy8.1 Introduction 1388.2 Materials 1398.3 Methods 1408.4 Conclusion 1429 Design of Complementary Metal–Oxide Semiconductor Ring Modulator by Built-In Thermal Tuning 145P. Bala Murali Krishna, Satish A., R. Yadgiri Rao, Mohammad Illiyas and I. Satya Narayana9.1 Introduction 1469.2 Device Structure 1479.3 dc Performance 1499.4 Small-Signal Radiofrequency Assessments 1499.5 Data Modulation Operation (High Speed) 1509.6 Conclusions and Acknowledgments 15210 Low-Power CMOS VCO Used in RF Transmitter 155D. Subbarao, Dayadi Lakshmaiah, Farha Anjum, G. Madhu Sudhan Rao and G. Chandra Sekhar10.1 Introduction 15610.2 Transmitter Architecture 15710.3 Voltage-Controlled Ring Oscillator Design 15810.4 CMOS Combiner 16110.5 Conclusion 16311 A Novel Low-Power Frequency-Modulated Continuous Wave Radar Based on Low-Noise Mixer 165Dayadi Lakshmaiah, Bandi Doss, J.V.B. Subrmanyam, M.K. Chaitanya, Suresh Ballala, R. Yadagirir Rao and I. Satya Narayana11.1 Introduction 16611.2 FMCW Principle 16811.3 Results 17411.4 Conclusion 17812 a Highly Integrated Cmos Rf T X Used for IEEE 802.15.4 181Dayadi Lakshmaiah, Subbarao, C.H. Sunitha, Nookala Sairam and S. Naresh12.1 Introduction 18212.2 Related Work 18212.3 Simulation Results and Discussion 18512.4 Conclusion 18613 A Novel Feedforward Offset Cancellation Limiting Amplifier in Radio Frequencies 189Dayadi Lakshmaiah, L. Koteswara Rao, I. Satya Narayana, B. Rajeshwari and I. Venu13.1 Introduction 19013.2 Hardware Design 19013.3 Experimental Results 19513.4 Conclusion 19514 A Secured Node Authentication and Access Control Model for IoT Smart Home Using Double-Hashed Unique Labeled Key-Based Validation 199Sulaima Lebbe Abdul Haleem14.1 Introduction 20014.2 Challenges in IoT Security and Privacy 20314.3 Background 20914.4 Proposed Model 21014.5 Results 2114.6 Conclusion 21814.7 Claims 218References 219Index 221