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portada Ubiquitous Intelligent Systems: Proceedings of Icuis 2021
Type
Physical Book
Publisher
Language
English
Pages
755
Format
Paperback
Dimensions
23.4 x 15.6 x 3.9 cm
Weight
1.07 kg.
ISBN13
9789811636776

Ubiquitous Intelligent Systems: Proceedings of Icuis 2021

Fausto Pedro García Márquez (Illustrated by) · P. Karuppusamy (Illustrated by) · Isidoros Perikos (Illustrated by) · Springer · Paperback

Ubiquitous Intelligent Systems: Proceedings of Icuis 2021 - Karuppusamy, P. ; Perikos, Isidoros ; García Márquez, Fausto Pedro

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Synopsis "Ubiquitous Intelligent Systems: Proceedings of Icuis 2021"

Chapter 1. Improvement of QoS Parameters of IoT Networks using Artificial Intelligence.- Chapter 2. Early Diagnosis of Alzheimer's Disease Using ACO Optimized Deep CNN Classifier.- Chapter 3. Performance Evaluation of Throughput and End to End Delay using an Optimized Cluster based Data Forwarding (OCDF) Protocol.- Chapter 4. Three Level Synthesıs of Biometrics for Secured Authorization System with Hybrid Optimization.- Chapter 5. A Deep Learning based Residual Network model for Traffic Sign Detection and Classification.- Chapter 6. AI based Automated Fruits & Vegetables Quality Inspection for Smart Cities.- Chapter 7. A Survey on Energy Efficient Approaches in Wireless Sensor Networks.- Chapter 8. Lean-SE: Framework combining Lean Thinking with the SDLC Process.- Chapter 9. A Comparative Study on Augmented Analytics using Deep Learning Techniques.- Chapter 10. A Comparative Analysis of Pneumonia Detection using Various Models of Transfer Learning.- Chapter 11. Performance Enhancement of Suspension System of an Electric Vehicle using Nature Inspired meta-heuristic Optimization Algorithm.- Chapter 12. Advancements in Healthcare: Multi-Agent based Intelligent Sensor Approach.- Chapter 13. Comprehensive Analysis on Security Threats Prevalent in IoT based Smart Farming Systems.- Chapter 14. Detection of Brain Tumors - a Comparative Analysis of Various Transfer Learning Methods.- Chapter 15. Synthesis and Research of Orthonormal Functions based on Chebyshev-Legendre Polynomials for Simulation.

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