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Practical applications of machine learning and AI : medicine, environmental science, transportation, and education /

"The book will explore various aspects of optimization, machine learning, and artificial intelligence, covering topics such as algorithmic advancements, application domains, theoretical frameworks, and practical implementations"--

Bibliographic Details
Other Authors: Mzili, Toufik, 1995- (Editor), Arya, Adarsh, 1979- (Editor)
Format: eBook
Language:English
Published: Hershey, PA : IGI Global Scientific Publishing, [2025]
Subjects:
Artificial intelligence > Industrial applications.
Medical care > Data processing.
Environmental engineering > Data processing.
Transportation engieering > Data processing.
Education > Data processing.
Intelligence artificielle > Applications industrielles.
Soins médicaux > Informatique.
Technique de l'environnement > Informatique.
Éducation > Informatique.
Electronic books.
Table of Contents:
  • Preface
  • Chapter 1. Recent Trends in Optimizing Hydrogen Supply Networks
  • Chapter 2. Bio-Inspired Algorithms-Based Machine Learning and Deep Learning Models in Healthcare 6.0
  • Chapter 3. Current Neuroinnovative Techniques With Machine Learning Algorithms in the Diagnosis and Classification of Neurodegenerative Diseases
  • Chapter 4. Advanced Polyp Segmentation Using U-Net Architecture: A Review
  • Chapter 5. Artificial Intelligence as a Sustainable Tool for Optimizing the Wastewater Treatment Plant
  • Chapter 6. Enhancing Wastewater Stabilization Ponds for Treating Domestic Wastewater Using Machine Learning
  • Chapter 7. Advanced Studies on Hydrogen Energy Using Computational Chemistry
  • Chapter 8. Deforestation and Forest Monitoring With CNN and RNN
  • Chapter 9. Graph-Based Machine Learning for Enhanced Traffic Management: Optimizing Efficiency and Mobility
  • Chapter 10. Enhanced Autonomous Driving: Various YOLO Models for Pothole Detection
  • Chapter 11. Unraveling Data Complexity in the Metaverse for Anomaly Detection With Python on NYC Taxi
  • Chapter 12. The Synergistic Power of AIoT in Enhancing EFL Student CCT Skills in Higher Education
  • Chapter 13. Transforming Civic Education With ChatGPT to Boost Student Interaction and Social learning in the GenAI Era
  • Chapter 14. Unveiling Academic Success: Harnessing Graph Machine Learning for Student Performance Prediction
  • Compilation of References
  • About the Contributors
  • Index.