| Description |
1 online resource (755 p.) |
| Series |
Cognitive Science and Technology |
|
Cognitive science and technology.
|
| Contents |
Intro -- Contents -- Making Cell-Free Massive MIMO Using MRC Technique -- 1 Introduction -- 2 Existing Method -- 3 Proposed System -- 4 Massive MIMO Model -- 5 Channel Estimation -- 6 Results -- 7 Conclusion -- References -- VIP Development of SPI Controller for Open-Power Processor-Based Fabless SOC -- 1 Introduction -- 2 The Study's Objectives -- 3 UVM Testbench -- 4 Design of SPI -- 5 Verification of SPI -- 6 Results -- 6.1 Transcript Results -- 6.2 Waveform Results -- 7 Conclusion and Future Scope -- References -- Cell-Free Massive MIMO Versus Small Cells -- 1 Introduction |
|
2 Exisiting System -- 3 Proposed System -- 4 Pilot Assignment and Power Control -- 5 Small-Cell System -- 6 Results -- 7 Conclusion and Future Scope -- References -- High-Precision Navigation Using Particle Swarm Optimization-Based KF -- 1 Introduction -- 2 Methods -- 2.1 Kalman Filter -- 2.2 Particle Swarm Optimization -- 2.3 Optimal Parameters into Kalman Filter -- 3 Results -- 4 Discussions -- 5 Conclusion and Future Work -- References -- Recent Advancements for Detection and Prediction of Breast Cancer Using Deep Learning: A Review? -- 1 Introduction -- 1.1 X-ray Mammography |
|
1.2 Ultrasound Imaging -- 1.3 Magnetic Resonance Imaging (MRI) -- 1.4 Machine Learning Concepts -- 1.5 Literature Review -- 2 Conclusion -- References -- Ensemble Decision Fusion of Deep Learning Classifiers for Heart Disease Classification -- 1 Introduction -- 2 Literature Survey -- 3 Ensemble Decision Fusion -- 3.1 Deep Learning ECG-Based CNN (C1) -- 3.2 DFT Feature-Based CNN Classifier (C2) -- 3.3 TQWT Feature-Based CNN Classifier (C3) -- 3.4 Db4-Based CNN Classifier (C4) -- 3.5 Ensemble Decision Fusion -- 4 Results -- 5 Conclusion -- References |
|
Implementation of Automatic Vending Machine Using FPGA -- 1 Introduction -- 2 Proposed Work -- 3 Design Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Automatic Vehicle Signal Enabling System -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Design of Proposed System -- 4.1 Software Tier -- 4.2 Hardware Tier -- 4.3 Java Script Libraries Used -- 5 Methodology of the Proposed System -- 5.1 Software for User Interface -- 5.2 Integration of User Interface with Hardware -- 5.3 Hardware (Raspberry Pi3) -- 5.4 Cross Checking with Directions |
|
6 Experimental Results and Discussions -- 6.1 Applications -- 7 Conclusion -- References -- Study Report of Tor Antiforensic Techniques -- 1 Cybercrime -- 2 Antiforensic Services on TOR -- 2.1 TOR Browser -- 2.2 Encryption -- 2.3 Onion Routing -- 3 Analysis of Deanonymization Techniques -- 3.1 Traffic Analysis -- 3.2 Bridge Discovery -- 3.3 Other Approaches -- 3.4 Pluggable Transports -- 4 Proposed Model -- 5 Conclusion -- References -- Analysis of Underlying and Forecasting Factors of Type 1 Diabetes and Prediction of Diabetes Using Machine Learning -- 1 Introduction -- 2 Related Work |
| Summary |
This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications |
| Notes |
3 Proposed Method |
|
Online resource; title from PDF title page (SpringerLink, viewed October 12, 2023) |
| Subject |
Soft computing -- Congresses
|
|
Computational intelligence -- Congresses
|
|
Computational intelligence
|
|
Soft computing
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Kumar, Amit
|
|
Ghinea, Gheorghita.
|
|
Merugu, Suresh
|
| ISBN |
9789819927425 |
|
9819927420 |
|
