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Intelligent Multimedia Signal Processing for Smart Ecosystems

A smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem for high-quality results at reduced costs and little human intervention. This book introduces many innovative approaches and provides solutions to various problems o...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Parah, Shabir A. (Editor), Hurrah, Nasir N. (Editor), Khan, Ekram (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer International Publishing : Imprint: Springer, 2023.
Udgivelse:1st ed. 2023.
Fag:
Multimedia systems.
Internet of things.
Machine learning.
Multimedia Information Systems.
Internet of Things.
Machine Learning.
Online adgang:https://doi.org/10.1007/978-3-031-34873-0
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Indholdsfortegnelse:
  • Part 1: Smart Ecosystems: Opportunities and Challenges
  • 1. Smart Ecosystems for Sustainable Development: Opportunities, Challenges, and Solutions through Research and Innovation
  • 2. Big Data in Smart Ecosystems: Trends, Challenges and Future Prospectus
  • 3. Breakthroughs and challenges in multimedia privacy and security in the Internet of Things (IoT)
  • 4. Analysis of Ensemble Methods for Phishing Detection
  • Part II Intelligent Signal Processing for Smart Health
  • 5. Machine Learning Based Diabetic Retinopathy Detection and Classification
  • 6. CNN-SVM with Data Augmentation for Robust Blur Detection of Digital Breast Tomosynthesis Images
  • 7. Lung Lesion Identification Using Geometrical Feature and Optical flow Method from Computed Tomography Scan Images
  • 8. Performance Improvement with Optimization Algorithm in Isolating Left Ventricle and Non-Left Ventricle Cardiac
  • 9 Dual-Feature CNN-SVM method for breast mass tissue abnormality classification ondigital mammography images adapted to breast density
  • 10. Deterministic Seir Mathematical Model For Infectious Diseases Like Covid-19
  • Part III Intelligent Signal Processing for Smart Industry
  • 11. Detection of Power Distribution Fault in Thermal Images Using CNN
  • 12. Text to Speech Synthesis using Deep Learning
  • 13. Advanced Sequence Learning Approaches for Emotion Recognition Using Speech Signals
  • 14. Comparison of Deep Learning Model Performance for Handwritten Character Recognition of School Children
  • 15. Handwritten Urdu Recognition using BERT with Vision Transformers.

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